Compulsory Departmental Courses

AE307 - Fluid Mechanics (3 + 1) 6

Introduction to basic concepts of fluid mechanics; properties of fluids; pressure and fluid statics, fluid kinematics, Bernoulli and energy equations, momentum analysis of flow systems, dimensional analysis and modeling, internal flow, external flow ? drag and lift.

CHE-AE3SP1 - Departmental Elective (0 + 0) 5

CHE-AE3SP2 - Departmental Elective (0 + 0) 5

CHE-AE4FA1 - Departmental Elective (0 + 0) 5

CHE-AE4SP1-ÇokDisiplinliDersler - Departmental Elective (0 + 0) 5

CHE-AE4SP1-ÇokdisiplinliDersler - Departmental Elective (0 + 0) 5

CHE-AE4SP1-ÇokdisiplinliDersler - Departmental Elective (0 + 0) 5

CHE-AE4SP1-ÇokdisiplinliDersler - Departmental Elective (0 + 0) 5

CHE-AE4SP2 - Departmental Elective (0 + 0) 5

CHE-AE4SP3 - Departmental Elective (0 + 0) 5

CHE-GE2FA1 - Non-Departmental Elective (0 + 0) 4

CHE-GE2SP1-GirişimcilikHavuzu - Non-Departmental Elective (0 + 0) 4

CHE-GE2SP1-GirişimcilikHavuzu - Non-Departmental Elective (0 + 0) 4

CHE-GE2SP1-GirişimcilikHavuzu - Non-Departmental Elective (0 + 0) 4

CHE-GE4FA1 - Non-Departmental Elective (0 + 0) 4

CHE101 - Introduction to Chemical Engineering (2 + 0) 2

A general introduction to engineering and chemical engineering, the role of chemical processing, strategies for solving engineering problems, important process variables, fundamentals of material balances.

CHE103 - General Chemistry (3 + 2) 5

General basic chemistry concepts, stoichiometric calculations based on the mole concept, solid, liquid and gas phases, periodic table and properties, prediction of molecular geometry, properties of gases, solutions.

CHE104 - General Chemistry (3 + 2) 4.5

Kinetic theory, chemical equilibrium, basic concepts of acids and bases, pH calculations, additional aspects of acid and bases (common ion effect, buffer solutions, neutralization reactions, solubility and Ksp calculations etc.), thermochemistry, laws of thermodynamics, electrochemistry and nuclear chemistry.

CHE201 - Analytical Chemistry (3 + 2) 6

Introduction, calculations, types of errors, statistics, gravimetric and titrimetric methods, equilibrium calculations, titrations, evaluation of titration curves, aqueous solution chemistry, related laboratory program.

CHE202 - Organic Chemistry (3 + 2) 6

Basic concepts and definitions, bonds in organic compounds, stereochemistry, classification of organic compounds, addition and elimination reactions, alcohols, ethers, aromatics, amines, carboxylic acids, carbohydrates and oils, amino acids and proteins, simple organic conversion designs.

CHE203 - Physical Chemistry (3 + 2) 5

The properties of gases,the perfect gases,the real gases,the first law,thermochemistry,state functions and exact differentials,the second law,the direction of spontaneous change,concentrating on the system,combining the first and second laws,physical transformations of pure substances,phase diagrams,phase stability and phase transitions,simple mixtures,the thermodynamic description of mixtures,the properties of solutions,activities,phase diagrams,phases,components, and degrees of freedom

CHE208 - Chemical Process Calculations (3 + 2) 6

An introduction to chemical engineering calculations, chemical engineering processes and process variables, fundamentals of material balances, material balances on single and multiple-unit processes, single-phase systems, fundamentals of energy balances, forms of energy, energy balances on closed and open systems at steady-state, mechanical energy.

CHE210 - Inorganic Chemistry (3 + 0) 5

Bronsted and Lewis acid-base concepts, coordination chemistry, molecular structures, point group and redox reactions.

CHE302 - Separation Processes (3 + 2) 6

Mass transfer operations; binary distillation, liquid-liquid extraction, multicomponent separations, absorption, membrane separations, fluid-solid separations, adsorption.

CHE303 - Chemical Reaction Engineering I (3 + 0) 5

Introduction to reaction engineering, basic definitions: reaction rate, elementary and non-elementary reactions, molecularity, order, chemical equilibrium, reversible and irreversible reactions, reaction stoichiometry, collection and analysis of chemical reactor data: batch reactor data, differential reactors, mass balances for ideal chemical reactors: batch, continuous stirred tank, plug flow and fixed bed reactors, multiple reactions in series or in parallel, pressure drop in reactors.

CHE304 - Chemical Reaction Engineering II (3 + 2) 6

Catalysis and catalytic reactors, non-isothermal reactor design, adiabatic and non-adiabatic operations, reactor design with diffusion effects, non-elementary reactions, multiple reactions, multiphase reactors, distributions of residence times for chemical reactors.

CHE311 - Fundamentals of Mass Transfer (3 + 0) 5

Principles of molecular mass transfer principles,molecular diffusion coefficient and estimation methods,equimolar countercurrent diffusion and diffusion through stagnant media,chemical engineering applications of these diffusion types (such as distillation and gas absorption),convective mass transfer,concept of mass transfer coefficient and mass transfer rate,interfacial mass transfer,rate-based column design for gas absorption (by ASPEN),gas absorption application for carbon dioxide capture

CHE312 - Biochemistry (3 + 0) 5

Foundations of biochemistry, water and its properties, carbohydrates and their roles, amino acids and proteins, nomenclature, characterization function and mechanism of enzymes, vitamins and coenzymes, nucleic acids and their components, lipids, introduction to metabolism, carbohydrates, glycolysis, the citric acid cycle, lipid metabolism, electron transport chain and oxidative phosphorylation.

CHE399 - Summer Practice I (0 + 0) 6

Observation of the analytical and the physical chemistry techniques used in the laboratories of the company, a summer practice report.

CHE401 - Chemical Engineering Laboratory I (0 + 4) 6

Several experiments on fluid mechanics, heat exchanger, heat transfer, heat conduction, distillation and extraction.

CHE402 - Chemical Engineering Laboratory II (0 + 4) 6

Several experiments on fluid mechanics and unit operation, and reactor design.

CHE405 - Chemical Engineering Design I (3 + 2) 7

Problem solving strategies, flowsheets, hierarchical approach to process design, batch operations, understanding process conditions, design heuristics, pump and compressor performance, heat exchanger design and performance, separator design and performance, reactor design and performance.

CHE406 - Chemical Engineering Design II (1 + 4) 7

Process design, process economy, health, safety, environmental considerations.

CHE407 - Process Modeling, Dynamics and Control (3 + 1) 6

Mathematical models of chemical engineering systems (fundamentals and examples of mathematical models), time-domain dynamics, conventional control systems and hardware, advanced control systems, Laplace domain dynamics, Laplace domain analysis of conventional feedback control systems and frequency-domain dynamics.

CHE499 - Summer Practice II (0 + 0) 6

Observation of the analytical and the physical chemistry techniques used in the laboratories of the company, a summer practice report.

CMPE102 - Computer Programming (2 + 2) 4

The objective of this course is to provide the basics of programming concepts using Python programming language and enable students to gain experience in laboratory environment.

ENE203 - Thermodynamics I (3 + 0) 6

Basic concepts and definitions, properties of a pure substance, equations of state, work and heat interactions, first law of thermodynamics, internal energy and enthalpy, second law of thermodynamics, entropy, reversible and irreversible processes, thermodynamic analysis of processes, third law of thermodynamics.

ENE301 - Heat Transfer (3 + 1) 6

Basic concepts of heat transfer; mechanisms of heat transfer (conduction, convection, radiation).

ENG101 - English For Academic Purposes I (4 + 0) 3.5

English language skills, especially academic skills, such as reading comprehension, vocabulary building and critical analysis of texts; listening and note-taking, class discussions, presentations, writing, research assignments and use of technology.

ENG102 - English for Academic Purposes II (4 + 0) 3.5

Academic skills such as reading comprehension, class discussions, use of academic vocabulary and critical analysis of texts; research assignments and review of the English language structure; skills such as listening and note-taking, analysis of written products, writing, portfolio keeping, presentation and use of technology.

ENG201 - English for Academic Purposes III (3 + 0) 3

Advanced reading and writing skills, applying critical reading skills and strategies, identifying the organization of a reading text, main ideas of the texts, and the author?s main purpose, summarizing a given text, outlining and writing an argumentative essay.

ENG202 - English for Academic Purposes IV (3 + 0) 3

Preparing and writing research reports and delivering effective oral/written informative and persuasive presentations; gathering information, organizing data, outlining, using appropriate techniques in presentation and delivering for a maximum impact, using visual aids and citation effectively.

ENG301 - English for Occupational Purposes I (3 + 0) 3

Job-related communication skills;the functions such as describing relationships at work,discussing performance reviews and giving feedback,discussing plans and arrangements,using social media for professional communication,discussing on recruitment tests and job interviews,presenting a service or product,writing reviews on websites

ENG302 - English for Occupational Purposes II (3 + 0) 3

More detailed job-related communication skills;describing and organising meetings,developing communicational styles in various cultural settings,handling mistakes and apologizing,getting familiar with marketing styles and advertising,deciding how to adapt and market a product in different countries,

HIST111 - Principles of Atatürk and History of Turkish Revolution I (in English) (2 + 0) 2

French Revolution; structure and geopolitic positioning of Ottoman Empire, reasons of its decline; Westernization movements, First and Second Constitutional Monarchy declarations; Libya and Balkan wars; First World War; period before the War of Independence, congresses, National Pact, establishment of Turkish Grand National Assembly.

HIST112 - Principles of Atatürk and History of Turkish Revolution II (in English) (2 + 0) 2

War of Independence; Lausanne Treaty; declaration of the Republic; removal of sultanic rule and caliphate; Atatürk`s revolutions; establishment of national economy; Second World War, before and after; Turkish Republic after 1960.

HIST221 - History of Civilization (3 + 0) 3

A chronological order of the rise of civilizations from Sumer until the Scientific Revolution.

KRY111 - Career Planning (1 + 0) 1

Being a student at Atilim University, Student-centered programs at Atilim University, Faculty, Department presentations, Career Planning and Coop Program, Erasmus, CV writing types, Interview techniques, Effective Communication and presentation techniques, Intelligence and Personality

MATH151 - Calculus I (4 + 2) 7

Preliminaries, limits and continuity, differentiation, applications of derivatives, L`Hopital's Rule, integration, applications of integrals, integrals and transcendental functions, integration techniques and improper integrals, squences.

MATH152 - Calculus II (4 + 2) 7

Infinite series, vectors in the plane and polar coordinates, vectors and motions in space, multivariable functions and their derivatives, multiple integrals: double integrals, areas, double integrals in polar coordinates, triple integrals in rectangular, cylindrical and spherical coordinates, line integrals, Independence of path,Green's theorem.

MATH275 - Linear Algebra (4 + 0) 6

Linear equations and matrices, real vector spaces, inner product spaces, linear transformations and matrices, determinants, eigenvalues and eigenvectors.

MATH276 - Differential Equations (4 + 0) 6

First-order, higher-order linear ordinary differential equations, series solutions of differential equations, Laplace transforms, linear systems of ordinary differential equations, Fourier analysis and partial differential equations.

MATH380 - Numerical Methods for Engineers (3 + 1) 5

Solution of nonlinear equations, solution of linear systems, eigenvalues and eigenvectors, interpolation and polynomial approximation, least square approximation, numerical differentiation, numerical integration.

ME108 - Computer Aided Solid Modeling (1 + 3) 4.5

Part design and principles of surface design, drafting of part design, fundamental concepts of dimensioning and tolerances, fundamentals of assembly design and bill of materials.

PHYS101 - General Physics I (3 + 2) 6

Measurement, motion along a straight line, vectors, motion in two and three dimensions, force and motion I, force and motion II, kinetic energy and work, potential energy and conservation of energy, center of mass and linear momentum, rotation, rolling, torque, and angular momentum, equilibrium and elasticity.

PHYS102 - General Physics II (3 + 2) 6

Electric charge, electric fields, Gauss` law, electric potential, capacitance, current and resistance, circuits, magnetic fields, magnetic fields due to currents, induction and inductance.

TURK401 - Turkish Language I (2 + 0) 2

Languages and their classification; history of Turkish language, its spread over the world and its place among other languages; Turkish language in the republic era; orthography; expressions; foreign words, suffixes and prefixes; punctuation; language and verbalism.

TURK402 - Turkish Language II (2 + 0) 2

Written expression and its genres; bibliography; sentence structure and types; misexpression; verbal expressions.

Elective Courses

AE411 - Automotive Manufacturing Processes Using Lightweight Metals (3 + 1) 5

Advanced lightweight metals and manufacturing processes for automotive applications; metallurgy of lightweight automotive metals; engineering joining processes for metals; design for manufacturing using lightweight automotive metals.

AE411 - Automotive Manufacturing Processes Using Lightweight Metals (3 + 1) 5

Advanced lightweight metals and manufacturing processes for automotive applications; metallurgy of lightweight automotive metals; engineering joining processes for metals; design for manufacturing using lightweight automotive metals.

AE411 - Automotive Manufacturing Processes Using Lightweight Metals (3 + 1) 5

Advanced lightweight metals and manufacturing processes for automotive applications; metallurgy of lightweight automotive metals; engineering joining processes for metals; design for manufacturing using lightweight automotive metals.

AE411 - Automotive Manufacturing Processes Using Lightweight Metals (3 + 1) 5

Advanced lightweight metals and manufacturing processes for automotive applications; metallurgy of lightweight automotive metals; engineering joining processes for metals; design for manufacturing using lightweight automotive metals.

AE411 - Automotive Manufacturing Processes Using Lightweight Metals (3 + 1) 5

Advanced lightweight metals and manufacturing processes for automotive applications; metallurgy of lightweight automotive metals; engineering joining processes for metals; design for manufacturing using lightweight automotive metals.

AE411 - Automotive Manufacturing Processes Using Lightweight Metals (3 + 1) 5

Advanced lightweight metals and manufacturing processes for automotive applications; metallurgy of lightweight automotive metals; engineering joining processes for metals; design for manufacturing using lightweight automotive metals.

AE413 - Automotive Mechatronics (3 + 1) 5

Autonomous vehicles; drive-by-wire, steer-by-wire and brake-by-wire technologies; inter vehicle communication and intelligent transportation systems; electric vehicles, hybrid electric vehicles, fuel-cell vehicles; lane keeping systems, adaptive cruise control; collision avoidance, anti-lock brake system; electronic stability control, rollover avoidance systems; modeling and control of internal combustion engines; passive, active and semi-active suspension design and analysis; vehicle electronic

AE413 - Automotive Mechatronics (3 + 1) 5

Autonomous vehicles; drive-by-wire, steer-by-wire and brake-by-wire technologies; inter vehicle communication and intelligent transportation systems; electric vehicles, hybrid electric vehicles, fuel-cell vehicles; lane keeping systems, adaptive cruise control; collision avoidance, anti-lock brake system; electronic stability control, rollover avoidance systems; modeling and control of internal combustion engines; passive, active and semi-active suspension design and analysis; vehicle electronic

AE413 - Automotive Mechatronics (3 + 1) 5

Autonomous vehicles; drive-by-wire, steer-by-wire and brake-by-wire technologies; inter vehicle communication and intelligent transportation systems; electric vehicles, hybrid electric vehicles, fuel-cell vehicles; lane keeping systems, adaptive cruise control; collision avoidance, anti-lock brake system; electronic stability control, rollover avoidance systems; modeling and control of internal combustion engines; passive, active and semi-active suspension design and analysis; vehicle electronic

AE413 - Automotive Mechatronics (3 + 1) 5

Autonomous vehicles; drive-by-wire, steer-by-wire and brake-by-wire technologies; inter vehicle communication and intelligent transportation systems; electric vehicles, hybrid electric vehicles, fuel-cell vehicles; lane keeping systems, adaptive cruise control; collision avoidance, anti-lock brake system; electronic stability control, rollover avoidance systems; modeling and control of internal combustion engines; passive, active and semi-active suspension design and analysis; vehicle electronic

AE413 - Automotive Mechatronics (3 + 1) 5

Autonomous vehicles; drive-by-wire, steer-by-wire and brake-by-wire technologies; inter vehicle communication and intelligent transportation systems; electric vehicles, hybrid electric vehicles, fuel-cell vehicles; lane keeping systems, adaptive cruise control; collision avoidance, anti-lock brake system; electronic stability control, rollover avoidance systems; modeling and control of internal combustion engines; passive, active and semi-active suspension design and analysis; vehicle electronic

AE413 - Automotive Mechatronics (3 + 1) 5

Autonomous vehicles; drive-by-wire, steer-by-wire and brake-by-wire technologies; inter vehicle communication and intelligent transportation systems; electric vehicles, hybrid electric vehicles, fuel-cell vehicles; lane keeping systems, adaptive cruise control; collision avoidance, anti-lock brake system; electronic stability control, rollover avoidance systems; modeling and control of internal combustion engines; passive, active and semi-active suspension design and analysis; vehicle electronic

AE416 - Design and Manufacturing in Automotive (2 + 2) 5

General design principles for manufacturability; factors influencing form design; metallurgy of automotive metals and other engineering materials; coating concept; engine materials; recent trends for manufacturing auto components.

AE416 - Design and Manufacturing in Automotive (2 + 2) 5

General design principles for manufacturability; factors influencing form design; metallurgy of automotive metals and other engineering materials; coating concept; engine materials; recent trends for manufacturing auto components.

AE416 - Design and Manufacturing in Automotive (2 + 2) 5

General design principles for manufacturability; factors influencing form design; metallurgy of automotive metals and other engineering materials; coating concept; engine materials; recent trends for manufacturing auto components.

AE416 - Design and Manufacturing in Automotive (2 + 2) 5

General design principles for manufacturability; factors influencing form design; metallurgy of automotive metals and other engineering materials; coating concept; engine materials; recent trends for manufacturing auto components.

AE416 - Design and Manufacturing in Automotive (2 + 2) 5

General design principles for manufacturability; factors influencing form design; metallurgy of automotive metals and other engineering materials; coating concept; engine materials; recent trends for manufacturing auto components.

AE416 - Design and Manufacturing in Automotive (2 + 2) 5

General design principles for manufacturability; factors influencing form design; metallurgy of automotive metals and other engineering materials; coating concept; engine materials; recent trends for manufacturing auto components.

AE434 - Electric and Hybrid Vehicles (3 + 1) 5

Electric vehicle components; history of electric vehicles; types of electric vehicles; batteries and battery modeling; alternative energy sources and stores (photovoltaics, flywheels, capacitors, fuel cells); DC and AC electric motors, brushed DC motors, and brushless electric motors; power electronics and motor drives; electric vehicle drivetrain.

AE434 - Electric and Hybrid Vehicles (3 + 1) 5

Electric vehicle components; history of electric vehicles; types of electric vehicles; batteries and battery modeling; alternative energy sources and stores (photovoltaics, flywheels, capacitors, fuel cells); DC and AC electric motors, brushed DC motors, and brushless electric motors; power electronics and motor drives; electric vehicle drivetrain.

AE434 - Electric and Hybrid Vehicles (3 + 1) 5

Electric vehicle components; history of electric vehicles; types of electric vehicles; batteries and battery modeling; alternative energy sources and stores (photovoltaics, flywheels, capacitors, fuel cells); DC and AC electric motors, brushed DC motors, and brushless electric motors; power electronics and motor drives; electric vehicle drivetrain.

AE434 - Electric and Hybrid Vehicles (3 + 1) 5

Electric vehicle components; history of electric vehicles; types of electric vehicles; batteries and battery modeling; alternative energy sources and stores (photovoltaics, flywheels, capacitors, fuel cells); DC and AC electric motors, brushed DC motors, and brushless electric motors; power electronics and motor drives; electric vehicle drivetrain.

AE434 - Electric and Hybrid Vehicles (3 + 1) 5

Electric vehicle components; history of electric vehicles; types of electric vehicles; batteries and battery modeling; alternative energy sources and stores (photovoltaics, flywheels, capacitors, fuel cells); DC and AC electric motors, brushed DC motors, and brushless electric motors; power electronics and motor drives; electric vehicle drivetrain.

AE434 - Electric and Hybrid Vehicles (3 + 1) 5

Electric vehicle components; history of electric vehicles; types of electric vehicles; batteries and battery modeling; alternative energy sources and stores (photovoltaics, flywheels, capacitors, fuel cells); DC and AC electric motors, brushed DC motors, and brushless electric motors; power electronics and motor drives; electric vehicle drivetrain.

AE435 - Vehicle Dynamics (3 + 1) 5

Engine characteristics and drive line components, tire and wheel fundamentals; tractive effort and resistances to motion; maximum speed and acceleration performance; clutch dynamics, torque converter characteristics, braking dynamics and performance; gradeability, steering dynamics, suspension mechanisms, planar dynamics of vehicles, and roll dynamics.

AE435 - Vehicle Dynamics (3 + 1) 5

Engine characteristics and drive line components, tire and wheel fundamentals; tractive effort and resistances to motion; maximum speed and acceleration performance; clutch dynamics, torque converter characteristics, braking dynamics and performance; gradeability, steering dynamics, suspension mechanisms, planar dynamics of vehicles, and roll dynamics.

AE435 - Vehicle Dynamics (3 + 1) 5

Engine characteristics and drive line components, tire and wheel fundamentals; tractive effort and resistances to motion; maximum speed and acceleration performance; clutch dynamics, torque converter characteristics, braking dynamics and performance; gradeability, steering dynamics, suspension mechanisms, planar dynamics of vehicles, and roll dynamics.

AE435 - Vehicle Dynamics (3 + 1) 5

Engine characteristics and drive line components, tire and wheel fundamentals; tractive effort and resistances to motion; maximum speed and acceleration performance; clutch dynamics, torque converter characteristics, braking dynamics and performance; gradeability, steering dynamics, suspension mechanisms, planar dynamics of vehicles, and roll dynamics.

AE435 - Vehicle Dynamics (3 + 1) 5

Engine characteristics and drive line components, tire and wheel fundamentals; tractive effort and resistances to motion; maximum speed and acceleration performance; clutch dynamics, torque converter characteristics, braking dynamics and performance; gradeability, steering dynamics, suspension mechanisms, planar dynamics of vehicles, and roll dynamics.

AE435 - Vehicle Dynamics (3 + 1) 5

Engine characteristics and drive line components, tire and wheel fundamentals; tractive effort and resistances to motion; maximum speed and acceleration performance; clutch dynamics, torque converter characteristics, braking dynamics and performance; gradeability, steering dynamics, suspension mechanisms, planar dynamics of vehicles, and roll dynamics.

AE436 - Transmission Systems and Design (3 + 1) 5

Overview of transmission systems; power flow and power conversion; matching engine and transmission; automotive transmission systems; design of gearwheel, shafts, bearings, clutches, torque converters and other design elements; automotive transmission development process.

AE436 - Transmission Systems and Design (3 + 1) 5

Overview of transmission systems; power flow and power conversion; matching engine and transmission; automotive transmission systems; design of gearwheel, shafts, bearings, clutches, torque converters and other design elements; automotive transmission development process.

AE436 - Transmission Systems and Design (3 + 1) 5

Overview of transmission systems; power flow and power conversion; matching engine and transmission; automotive transmission systems; design of gearwheel, shafts, bearings, clutches, torque converters and other design elements; automotive transmission development process.

AE436 - Transmission Systems and Design (3 + 1) 5

Overview of transmission systems; power flow and power conversion; matching engine and transmission; automotive transmission systems; design of gearwheel, shafts, bearings, clutches, torque converters and other design elements; automotive transmission development process.

AE436 - Transmission Systems and Design (3 + 1) 5

Overview of transmission systems; power flow and power conversion; matching engine and transmission; automotive transmission systems; design of gearwheel, shafts, bearings, clutches, torque converters and other design elements; automotive transmission development process.

AE436 - Transmission Systems and Design (3 + 1) 5

Overview of transmission systems; power flow and power conversion; matching engine and transmission; automotive transmission systems; design of gearwheel, shafts, bearings, clutches, torque converters and other design elements; automotive transmission development process.

ART201 - Introduction to Photography (3 + 0) 4

Definition of photography and the photographer, the uses of photography in life, camera and its parts (aperture, iso, shutter, lens), light and its use in photography, composition rules in photography, the works of photographers from the world and Turkey.

ART202 - Cartoon (3 + 0) 4

Basic information on cartoon; drawing techniques using simple rules; humor; career-oriented cartoon work.

ART221 - Annotated History of Music (3 + 0) 4

The evolution of music in history of humanity; music in the process of becoming an art, the authencities of music; the historical analysis of music, information exchange as well as the main distinctions between art and other cultural domains.

ART222 - History of Jazz (3 + 0) 4

The history of music before 1900`s; Blues and Ragtime music genres; the impacts of musical, social and cultural structures of jazz music in New Orleans before its emergence in the region; main jazz movements starting from the very first Dixieland music to Fusion jazz movement today.

ART223 - Performing Jazz (3 + 0) 4

Human voice in terms of its anatomy, physiology and its techniques.

ART224 - History of Argentine Tango (3 + 0) 4

Where does the tango come from; tango-culture relationship; the origin and the evolution of Argentine tango; spreading of the dance to Europe and the world; the effects of tango on economic crisis and political changes in the world.

ART225 - Introduction to Classical Guitar (3 + 0) 4

Fundamentals of music; notes, rhythm and fundamental music vocabulary; notes on the guitar, diagrams.

ART226 - World Music Cultures (3 + 0) 4

The characteristics of music in the major regions of the world and its handling in the context of geographical, cultural, religious, social, economic and political factors.

ART227 - Opera History (3 + 0) 5

The major operas with similar and different features in the music writing language of their composers; the messages of the operas in the context of geographical, cultural, religious, social, economic and political factors.

ART228 - Music in Business Life (3 + 0) 5

Making business life skills more effective through music

ART228 - Music in Business Life (3 + 0) 5

Making business life skills more effective through music

ART228 - Music in Business Life (3 + 0) 5

Making business life skills more effective through music

ART228 - Music in Business Life (3 + 0) 5

Making business life skills more effective through music

ART235 - Polyphonic Chorus (3 + 0) 4

In this course, correct breathing, voice production and dissemination are intended to gain the right skills.It aims to gain the habit of synchronized voice and choral works.

ART251 - Watercolour Painting (3 + 0) 4

Basic knowledge of watercolour painting art and its history; watercolour techniques, tools and materials; demonstration of some real watercolour painting samples; basic principles and practice of painting techniques.

ART252 - Free Ceramic Forming (3 + 0) 4

The ceramic clay; using clay for freehand forming; creating unique ceramic forms without restricting the individual creativity; creating two- or three-dimensional free-form designs using the ceramic clay.

ART261 - Screenplay (3 + 0) 4

Basic information about movie script and its theories; creating a synopsis treatman and a scenario based on original or adopted stories.

ART262 - Traditional Tile Decoration and Modern Interpretations (3 + 0) 4

Tile technique, traditional and modern motifs or figures, application of motifs on biscuit material.

ART263 - Diction (3 + 0) 4

How to speak fluently and effectively in front of an audience; elocution techniques; use of body language in the best possible way; developing self-confidence, strengthening communication skills.

ART263 - Diction (3 + 0) 4

How to speak fluently and effectively in front of an audience; elocution techniques; use of body language in the best possible way; developing self-confidence, strengthening communication skills.

ART264 - Interior Design of Sculpture (3 + 0) 4

Shape elements, point-line-surface relation, drawing techniques, form-shape, measure-ratio, light-dark, shadow-light, volume information, texture types and touch.

ART265 - Creativity in Business Life (3 + 0) 4

Methods of creativity; using creativity in business life; overview and critique of the sector; new approaches by means of art; innovation.

ART266 - Jewelry Design (3 + 0) 4

Shape elements, point-line-surface relation, drawing techniques, form-shape, measure-ratio, light-dark, shadow-light, volume information, texture types and touch; hand tools; production using simple modeling techniques; cutting and leveling techniques, assembly and skidding procedures; design preparation, metal and different material shaping and

ART267 - Theatre (3 + 0) 4

Play staging, play writing, analysis, dramaturgy, acting, stage design, play management.

ART268 - Theatrical Entrepreneurial Skills (3 + 0) 4

Developing entrepreneurial skills through the art of theater.

ART269 - Entrepreneurial World of Contemporary Art (3 + 0) 4

The function and global organisation of contemporary art, which are considered as one of the most important investment tools in the world by international institutions, the socio-economic dimension of the events and the relationship between the world of art: collector, sponsor, and entrepreunership.

ART270 - Entrepreneurship Inspired by Nature: Interdisciplinary Approaches (3 + 0) 5

Biomicicry; the natural processes of sustaining life on earth and using it as a model for social and economic innovations; the integration among the components of ecosystems: living organisms; climate, and the chemical environment;opportunities for innovative entrepreneurship practices with interdisciplinary approaches; the 21st century skills and nature?s principles for innovative and creative entrepreneurship opportunities.

ART271 - Creative Drama (3 + 0) 4

Games and exercises designed by Viola Spolin to stimulate action, relation, spontaneity and creativity of individuals in a group setting; techniques such as warming up games, improvisations, roleplay, writing, story telling etc.

ART282 - Voice Training, Solfage, Correpetition (3 + 3) 4

Correct usage techniques of breathing, diaphragm and voice, professional singing education, excercises of developing musical ear, theoretical knowledge of musical note and rhythm, dictation (be able to writing down on paper in the form of notes and rhythm the heared sound or music), excercises of developing musical ear, working accompanied with

ART284 - Stage Management of Theater and Movie Review (3 + 0) 4

Analysing theater plays that dominated the history of theater in philosophical theme; finding the substances and determine in search of theatric space at the world theater journey, discussion of the predeterminated movies that made the breakthrough in world history within the context of Sartre/Existentialist philosophy and Spinoza/Ethica.

ART285 - Innovative Visual Narrative (3 + 0) 4

Investigation of the visual narration processes through selected examples;preperation of a research report in line with the selected type of visual narration; information about the effectiveness of the visual material or visual narrative on thinking,decision making and personal communication;evaluation;effects of innovative approaches on visual

ART286 - Simple Restoration Techniques in Artworks (3 + 0) 4

General principles and assumptions about artifact repair, simple repairs using different modern materials.

ART287 - Couple Dances (3 + 0) 4

Education of basic music and rhythm, body awareness, movement, coordination, gesture, expression and tendency for couple harmony.

ART288 - Rhetoric: Beautiful and Effective Speaking Art (3 + 0) 4

Expressing thoughts and opinions in the best, most effective and most accurate manner, speaking effectively, and persuading communities.

ART289 - Art of Mosaic (3 + 0) 4

Information about mosaic art and mosaic construction techniques used as an ornamentation element for centuries.

ART291 - Body Language and the Art of Persuasion (3 + 0) 4

Posture, mimic, gesture, a correct and accurate way of using the intonation of speech; leadership skills and abilities to convince or persuade someone to accept a desired way of thinking in the business and social environment; convincing others to adopt new ideas using body language.

ART292 - Sign Language (3 + 0) 4

Developing the ability to communicate daily with hearing disabilities.

ART293 - Architectural Photography (3 + 0) 4

Architectural dynamics in art of photography; photography techniques that are compatible with structures; equipment knowledge and usage techniques.

ART294 - Stage Makeup (3 + 0) 4

Plastic makeup; form working on model; coloration of silicon mold and placing on human face.

ART295 - Classical Turkish Music (3 + 0) 4

Classical Turkish Music; theory and application techniques in traditional, classical and modern periods.

ART297 - Creative Presentation in Digital Arts (3 + 0) 4

3D modeling techniques suitable for 3D product presentation, workflows of multiple software design, scene lighting render and animation settings, editing presentation animation, using render passes layers in compositing and color correction process.

ART298 - Stage Makeup (3 + 0) 4

In line with the course objective and expected learning outcomes, the course will expose students to various aspects of theatrical makeup application for stage, such as historical context, products, tools and techniques.

ASE308 - Flight Mechanics (3 + 1) 6

Reference frames, coordinate systems and transformations, notations; longitudinal static stability and control; maneuverability; lateral, directional static stability and control; stability derivatives; stability of uncontrolled motion.

ASE308 - Flight Mechanics (3 + 1) 6

Reference frames, coordinate systems and transformations, notations; longitudinal static stability and control; maneuverability; lateral, directional static stability and control; stability derivatives; stability of uncontrolled motion.

ASE308 - Flight Mechanics (3 + 1) 6

Reference frames, coordinate systems and transformations, notations; longitudinal static stability and control; maneuverability; lateral, directional static stability and control; stability derivatives; stability of uncontrolled motion.

ASE308 - Flight Mechanics (3 + 1) 6

Reference frames, coordinate systems and transformations, notations; longitudinal static stability and control; maneuverability; lateral, directional static stability and control; stability derivatives; stability of uncontrolled motion.

ASE308 - Flight Mechanics (3 + 1) 6

Reference frames, coordinate systems and transformations, notations; longitudinal static stability and control; maneuverability; lateral, directional static stability and control; stability derivatives; stability of uncontrolled motion.

ASE308 - Flight Mechanics (3 + 1) 6

Reference frames, coordinate systems and transformations, notations; longitudinal static stability and control; maneuverability; lateral, directional static stability and control; stability derivatives; stability of uncontrolled motion.

AVM490 - History of Aviation (3 + 0) 4

Historical view and introduction, flight in mythology, pioneers of lighter than air vehicles, parameters of heavier than air flight, progress of aviation up to World War One, establishment of Ottoman/Turkish aviation, the great war in the air (1914 ? 1918), golden age of aviation (1919-1939), development of aviation in Turkish Republic, the great

CE566 - Advanced Mathematical Methods in Civil Engineering (3 + 0) 5

First-, second- and higher-order linear ordinary differential equations, system of differential equations, power series solution of differential equations, Laplace transforms, partial differential equations, numerical integration and derivation, numerical solution of differential equations.

CE566 - Advanced Mathematical Methods in Civil Engineering (3 + 0) 5

First-, second- and higher-order linear ordinary differential equations, system of differential equations, power series solution of differential equations, Laplace transforms, partial differential equations, numerical integration and derivation, numerical solution of differential equations.

CE566 - Advanced Mathematical Methods in Civil Engineering (3 + 0) 5

First-, second- and higher-order linear ordinary differential equations, system of differential equations, power series solution of differential equations, Laplace transforms, partial differential equations, numerical integration and derivation, numerical solution of differential equations.

CE566 - Advanced Mathematical Methods in Civil Engineering (3 + 0) 5

First-, second- and higher-order linear ordinary differential equations, system of differential equations, power series solution of differential equations, Laplace transforms, partial differential equations, numerical integration and derivation, numerical solution of differential equations.

CEAC311 - Fundamentals of Mass Transfer (3 + 0) 5

Principles of molecular mass transfer principles; molecular diffusion coefficient and estimation methods; equimolar countercurrent diffusion and diffusion through stagnant media; chemical engineering applications of these diffusion types (such as distillation and gas absorption); convective mass transfer; concept of mass transfer coefficient and mass transfer rate; interfacial mass transfer; rate-based column design for gas absorption (by ASPEN); gas absorption application for CO2 capture.

CEAC311 - Fundamentals of Mass Transfer (3 + 0) 5

Principles of molecular mass transfer principles; molecular diffusion coefficient and estimation methods; equimolar countercurrent diffusion and diffusion through stagnant media; chemical engineering applications of these diffusion types (such as distillation and gas absorption); convective mass transfer; concept of mass transfer coefficient and mass transfer rate; interfacial mass transfer; rate-based column design for gas absorption (by ASPEN); gas absorption application for CO2 capture.

CEAC311 - Fundamentals of Mass Transfer (3 + 0) 5

Principles of molecular mass transfer principles; molecular diffusion coefficient and estimation methods; equimolar countercurrent diffusion and diffusion through stagnant media; chemical engineering applications of these diffusion types (such as distillation and gas absorption); convective mass transfer; concept of mass transfer coefficient and mass transfer rate; interfacial mass transfer; rate-based column design for gas absorption (by ASPEN); gas absorption application for CO2 capture.

CEAC311 - Fundamentals of Mass Transfer (3 + 0) 5

Principles of molecular mass transfer principles; molecular diffusion coefficient and estimation methods; equimolar countercurrent diffusion and diffusion through stagnant media; chemical engineering applications of these diffusion types (such as distillation and gas absorption); convective mass transfer; concept of mass transfer coefficient and mass transfer rate; interfacial mass transfer; rate-based column design for gas absorption (by ASPEN); gas absorption application for CO2 capture.

CEAC311 - Fundamentals of Mass Transfer (3 + 0) 5

Principles of molecular mass transfer principles; molecular diffusion coefficient and estimation methods; equimolar countercurrent diffusion and diffusion through stagnant media; chemical engineering applications of these diffusion types (such as distillation and gas absorption); convective mass transfer; concept of mass transfer coefficient and mass transfer rate; interfacial mass transfer; rate-based column design for gas absorption (by ASPEN); gas absorption application for CO2 capture.

CEAC419 - Transport Phenomena (3 + 0) 5

No data provided

CEAC419 - Transport Phenomena (3 + 0) 5

No data provided

CEAC419 - Transport Phenomena (3 + 0) 5

No data provided

CEAC419 - Transport Phenomena (3 + 0) 5

No data provided

CEAC419 - Transport Phenomena (3 + 0) 5

No data provided

CEAC502 - Advanced Biochemistry (3 + 0) 5

The basic mechanism in metabolic reactions, regulations of metabolic reactions, importance of metabolic reactions in biological systems.

CEAC502 - Advanced Biochemistry (3 + 0) 5

The basic mechanism in metabolic reactions, regulations of metabolic reactions, importance of metabolic reactions in biological systems.

CEAC502 - Advanced Biochemistry (3 + 0) 5

The basic mechanism in metabolic reactions, regulations of metabolic reactions, importance of metabolic reactions in biological systems.

CEAC502 - Advanced Biochemistry (3 + 0) 5

The basic mechanism in metabolic reactions, regulations of metabolic reactions, importance of metabolic reactions in biological systems.

CEAC502 - Advanced Biochemistry (3 + 0) 5

The basic mechanism in metabolic reactions, regulations of metabolic reactions, importance of metabolic reactions in biological systems.

CEAC503 - Advance Inorganic Chemistry (3 + 0) 5

Bronsted and Lewis acid-base concepts, coordination chemistry, molecular structures, point group reactions, redox reactions.

CEAC503 - Advance Inorganic Chemistry (3 + 0) 5

Bronsted and Lewis acid-base concepts, coordination chemistry, molecular structures, point group reactions, redox reactions.

CEAC503 - Advance Inorganic Chemistry (3 + 0) 5

Bronsted and Lewis acid-base concepts, coordination chemistry, molecular structures, point group reactions, redox reactions.

CEAC503 - Advance Inorganic Chemistry (3 + 0) 5

Bronsted and Lewis acid-base concepts, coordination chemistry, molecular structures, point group reactions, redox reactions.

CEAC503 - Advance Inorganic Chemistry (3 + 0) 5

Bronsted and Lewis acid-base concepts, coordination chemistry, molecular structures, point group reactions, redox reactions.

CEAC504 - Advanced Analytical Chemistry (3 + 0) 5

The analytical process and measurements, statistical treatment of analytical data, acid base equilibria, the solubility of precipitates, gravimetric analysis, volumetric analysis, precipitation titration, compleximetric titration, principles of oxidation reduction reactions, oxidation reduction titration, spectroscopic method of analysis.

CEAC504 - Advanced Analytical Chemistry (3 + 0) 5

The analytical process and measurements, statistical treatment of analytical data, acid base equilibria, the solubility of precipitates, gravimetric analysis, volumetric analysis, precipitation titration, compleximetric titration, principles of oxidation reduction reactions, oxidation reduction titration, spectroscopic method of analysis.

CEAC504 - Advanced Analytical Chemistry (3 + 0) 5

The analytical process and measurements, statistical treatment of analytical data, acid base equilibria, the solubility of precipitates, gravimetric analysis, volumetric analysis, precipitation titration, compleximetric titration, principles of oxidation reduction reactions, oxidation reduction titration, spectroscopic method of analysis.

CEAC504 - Advanced Analytical Chemistry (3 + 0) 5

The analytical process and measurements, statistical treatment of analytical data, acid base equilibria, the solubility of precipitates, gravimetric analysis, volumetric analysis, precipitation titration, compleximetric titration, principles of oxidation reduction reactions, oxidation reduction titration, spectroscopic method of analysis.

CEAC504 - Advanced Analytical Chemistry (3 + 0) 5

The analytical process and measurements, statistical treatment of analytical data, acid base equilibria, the solubility of precipitates, gravimetric analysis, volumetric analysis, precipitation titration, compleximetric titration, principles of oxidation reduction reactions, oxidation reduction titration, spectroscopic method of analysis.

CEAC507 - Advanced Chemical Reaction Engineering (3 + 0) 5

Theoretical foundations of reaction rates, collision theory and transition state theory, thermochemistry of species and reactions, estimation of thermochemical and reaction rate parameters using empirical and quantum chemical methods, elementary reactions in the gas phase, elementary reactions on surfaces, diffusion and heterogeneous reactions.

CEAC507 - Advanced Chemical Reaction Engineering (3 + 0) 5

Theoretical foundations of reaction rates, collision theory and transition state theory, thermochemistry of species and reactions, estimation of thermochemical and reaction rate parameters using empirical and quantum chemical methods, elementary reactions in the gas phase, elementary reactions on surfaces, diffusion and heterogeneous reactions.

CEAC507 - Advanced Chemical Reaction Engineering (3 + 0) 5

Theoretical foundations of reaction rates, collision theory and transition state theory, thermochemistry of species and reactions, estimation of thermochemical and reaction rate parameters using empirical and quantum chemical methods, elementary reactions in the gas phase, elementary reactions on surfaces, diffusion and heterogeneous reactions.

CEAC507 - Advanced Chemical Reaction Engineering (3 + 0) 5

Theoretical foundations of reaction rates, collision theory and transition state theory, thermochemistry of species and reactions, estimation of thermochemical and reaction rate parameters using empirical and quantum chemical methods, elementary reactions in the gas phase, elementary reactions on surfaces, diffusion and heterogeneous reactions.

CEAC507 - Advanced Chemical Reaction Engineering (3 + 0) 5

Theoretical foundations of reaction rates, collision theory and transition state theory, thermochemistry of species and reactions, estimation of thermochemical and reaction rate parameters using empirical and quantum chemical methods, elementary reactions in the gas phase, elementary reactions on surfaces, diffusion and heterogeneous reactions.

CEAC509 - Advanced Heat and Mass Transfer (3 + 0) 5

Principles and analogies of molecular heat and mass transport, convective heat and mass transport, interfacial heat and mass transfer,basic vectorial equation for mass transfer with chemical reaction, analytical and numerical solution of one dimensional transient transport equations, gas absorption with chemical reaction.

CEAC509 - Advanced Heat and Mass Transfer (3 + 0) 5

Principles and analogies of molecular heat and mass transport, convective heat and mass transport, interfacial heat and mass transfer,basic vectorial equation for mass transfer with chemical reaction, analytical and numerical solution of one dimensional transient transport equations, gas absorption with chemical reaction.

CEAC509 - Advanced Heat and Mass Transfer (3 + 0) 5

Principles and analogies of molecular heat and mass transport, convective heat and mass transport, interfacial heat and mass transfer,basic vectorial equation for mass transfer with chemical reaction, analytical and numerical solution of one dimensional transient transport equations, gas absorption with chemical reaction.

CEAC509 - Advanced Heat and Mass Transfer (3 + 0) 5

Principles and analogies of molecular heat and mass transport, convective heat and mass transport, interfacial heat and mass transfer,basic vectorial equation for mass transfer with chemical reaction, analytical and numerical solution of one dimensional transient transport equations, gas absorption with chemical reaction.

CEAC509 - Advanced Heat and Mass Transfer (3 + 0) 5

Principles and analogies of molecular heat and mass transport, convective heat and mass transport, interfacial heat and mass transfer,basic vectorial equation for mass transfer with chemical reaction, analytical and numerical solution of one dimensional transient transport equations, gas absorption with chemical reaction.

CEAC516 - Biology (3 + 0) 5

The cellular basis of life, chemical constituents, the role of cell membrane, cellular energy, photosynthesis, cellular respiration, control of cellular activity, cell reproduction and genetic basis of life.

CEAC529 - Spectroscopic Techniques (3 + 0) 5

General introduction to spectroscopy, electronic absorption spectroscopy, vibration and raman spectroscopy, nuclear magnetic resonance spectroscopy, electron paramagnetic resonance spectroscopy, mass spectroscopy, x-ray crystallography, SEM and TEM.

CEAC554 - Electrochemical Methods: Fundamentals and Applications (3 + 0) 5

General electrochemical concepts, electroanalysis, introduction to electrochemistry, equilibrium measurements, potentiometry, voltammetry, coulometry, chronometry, polarography, rotating electrodes, rate constants of electron transfer, spectroelectrochemistry, electrochemical ESR spectrometry, impedance, electrode preparation methods, cleaning

CEAC554 - Electrochemical Methods: Fundamentals and Applications (3 + 0) 5

General electrochemical concepts, electroanalysis, introduction to electrochemistry, equilibrium measurements, potentiometry, voltammetry, coulometry, chronometry, polarography, rotating electrodes, rate constants of electron transfer, spectroelectrochemistry, electrochemical ESR spectrometry, impedance, electrode preparation methods, cleaning

CEAC554 - Electrochemical Methods: Fundamentals and Applications (3 + 0) 5

General electrochemical concepts, electroanalysis, introduction to electrochemistry, equilibrium measurements, potentiometry, voltammetry, coulometry, chronometry, polarography, rotating electrodes, rate constants of electron transfer, spectroelectrochemistry, electrochemical ESR spectrometry, impedance, electrode preparation methods, cleaning

CEAC554 - Electrochemical Methods: Fundamentals and Applications (3 + 0) 5

General electrochemical concepts, electroanalysis, introduction to electrochemistry, equilibrium measurements, potentiometry, voltammetry, coulometry, chronometry, polarography, rotating electrodes, rate constants of electron transfer, spectroelectrochemistry, electrochemical ESR spectrometry, impedance, electrode preparation methods, cleaning

CEAC554 - Electrochemical Methods: Fundamentals and Applications (3 + 0) 5

General electrochemical concepts, electroanalysis, introduction to electrochemistry, equilibrium measurements, potentiometry, voltammetry, coulometry, chronometry, polarography, rotating electrodes, rate constants of electron transfer, spectroelectrochemistry, electrochemical ESR spectrometry, impedance, electrode preparation methods, cleaning

CEAC557 - Conductive Polymers (3 + 0) 5

Discovery and development of conductive polymers, polymerization techniques, chemical polymerization, electropolymerization, classes of conducting polymers, polyacetylenes, polyanilines, polypyrroles, polythiophenes, polycarbazoles, polyfluorenes, etc. and their derivatives, structure?property relationships, insulator?metal transition, metallic sta

CEAC557 - Conductive Polymers (3 + 0) 5

Discovery and development of conductive polymers, polymerization techniques, chemical polymerization, electropolymerization, classes of conducting polymers, polyacetylenes, polyanilines, polypyrroles, polythiophenes, polycarbazoles, polyfluorenes, etc. and their derivatives, structure?property relationships, insulator?metal transition, metallic sta

CEAC557 - Conductive Polymers (3 + 0) 5

Discovery and development of conductive polymers, polymerization techniques, chemical polymerization, electropolymerization, classes of conducting polymers, polyacetylenes, polyanilines, polypyrroles, polythiophenes, polycarbazoles, polyfluorenes, etc. and their derivatives, structure?property relationships, insulator?metal transition, metallic sta

CEAC557 - Conductive Polymers (3 + 0) 5

Discovery and development of conductive polymers, polymerization techniques, chemical polymerization, electropolymerization, classes of conducting polymers, polyacetylenes, polyanilines, polypyrroles, polythiophenes, polycarbazoles, polyfluorenes, etc. and their derivatives, structure?property relationships, insulator?metal transition, metallic sta

CEAC557 - Conductive Polymers (3 + 0) 5

Discovery and development of conductive polymers, polymerization techniques, chemical polymerization, electropolymerization, classes of conducting polymers, polyacetylenes, polyanilines, polypyrroles, polythiophenes, polycarbazoles, polyfluorenes, etc. and their derivatives, structure?property relationships, insulator?metal transition, metallic sta

CEAC572 - Electromembrane Processes (3 + 0) 5

Basic concepts and definitions in ion exchange membrane science, materials, characterization, electrochemical and thermodynamic fundamentals, energy conversion technologies, fuel cells, process and equipment design.

CEAC572 - Electromembrane Processes (3 + 0) 5

Basic concepts and definitions in ion exchange membrane science, materials, characterization, electrochemical and thermodynamic fundamentals, energy conversion technologies, fuel cells, process and equipment design.

CEAC572 - Electromembrane Processes (3 + 0) 5

Basic concepts and definitions in ion exchange membrane science, materials, characterization, electrochemical and thermodynamic fundamentals, energy conversion technologies, fuel cells, process and equipment design.

CEAC572 - Electromembrane Processes (3 + 0) 5

Basic concepts and definitions in ion exchange membrane science, materials, characterization, electrochemical and thermodynamic fundamentals, energy conversion technologies, fuel cells, process and equipment design.

CEAC572 - Electromembrane Processes (3 + 0) 5

Basic concepts and definitions in ion exchange membrane science, materials, characterization, electrochemical and thermodynamic fundamentals, energy conversion technologies, fuel cells, process and equipment design.

CEAC574 - Optimization of Chemical Reactors (3 + 0) 5

Obtaining the objective function. Determination of optimization parameters. Optimization of series, parallel and complex reactions. Optimum temperature progress. Endothermic and exothermic reactions. Economics considerations in optimum reactor design.

CEAC574 - Optimization of Chemical Reactors (3 + 0) 5

Obtaining the objective function. Determination of optimization parameters. Optimization of series, parallel and complex reactions. Optimum temperature progress. Endothermic and exothermic reactions. Economics considerations in optimum reactor design.

CEAC574 - Optimization of Chemical Reactors (3 + 0) 5

Obtaining the objective function. Determination of optimization parameters. Optimization of series, parallel and complex reactions. Optimum temperature progress. Endothermic and exothermic reactions. Economics considerations in optimum reactor design.

CEAC574 - Optimization of Chemical Reactors (3 + 0) 5

Obtaining the objective function. Determination of optimization parameters. Optimization of series, parallel and complex reactions. Optimum temperature progress. Endothermic and exothermic reactions. Economics considerations in optimum reactor design.

CEAC574 - Optimization of Chemical Reactors (3 + 0) 5

Obtaining the objective function. Determination of optimization parameters. Optimization of series, parallel and complex reactions. Optimum temperature progress. Endothermic and exothermic reactions. Economics considerations in optimum reactor design.

CEAC575 - Chemical Kinetics (3 + 0) 5

After an initial treatment of the basic phenomenological view of kinetics, we will cover classical analyses of reaction mechanisms (steady-state approximation, pre-equilibria, etc), transition-state theory, and various experimental methods of determining reaction rates and mechanisms.

CEAC575 - Chemical Kinetics (3 + 0) 5

After an initial treatment of the basic phenomenological view of kinetics, we will cover classical analyses of reaction mechanisms (steady-state approximation, pre-equilibria, etc), transition-state theory, and various experimental methods of determining reaction rates and mechanisms.

CEAC575 - Chemical Kinetics (3 + 0) 5

After an initial treatment of the basic phenomenological view of kinetics, we will cover classical analyses of reaction mechanisms (steady-state approximation, pre-equilibria, etc), transition-state theory, and various experimental methods of determining reaction rates and mechanisms.

CEAC575 - Chemical Kinetics (3 + 0) 5

After an initial treatment of the basic phenomenological view of kinetics, we will cover classical analyses of reaction mechanisms (steady-state approximation, pre-equilibria, etc), transition-state theory, and various experimental methods of determining reaction rates and mechanisms.

CEAC575 - Chemical Kinetics (3 + 0) 5

After an initial treatment of the basic phenomenological view of kinetics, we will cover classical analyses of reaction mechanisms (steady-state approximation, pre-equilibria, etc), transition-state theory, and various experimental methods of determining reaction rates and mechanisms.

CEAC577 - Petroleum Refinery Engineering (3 + 0) 5

Introduction to petroleum refining and petrochemical industries, steam cracking and olefins production, emerging technologies for olefin production (such as methanol to olefins (mto), partial oxidation, dehydrogenation, metathesis), catalytic reforming and aromatics (btx) production, c8 aromatics, aromatics from pyrolysis gasoline and other sources

CEAC577 - Petroleum Refinery Engineering (3 + 0) 5

Introduction to petroleum refining and petrochemical industries, steam cracking and olefins production, emerging technologies for olefin production (such as methanol to olefins (mto), partial oxidation, dehydrogenation, metathesis), catalytic reforming and aromatics (btx) production, c8 aromatics, aromatics from pyrolysis gasoline and other sources

CEAC577 - Petroleum Refinery Engineering (3 + 0) 5

Introduction to petroleum refining and petrochemical industries, steam cracking and olefins production, emerging technologies for olefin production (such as methanol to olefins (mto), partial oxidation, dehydrogenation, metathesis), catalytic reforming and aromatics (btx) production, c8 aromatics, aromatics from pyrolysis gasoline and other sources

CEAC577 - Petroleum Refinery Engineering (3 + 0) 5

Introduction to petroleum refining and petrochemical industries, steam cracking and olefins production, emerging technologies for olefin production (such as methanol to olefins (mto), partial oxidation, dehydrogenation, metathesis), catalytic reforming and aromatics (btx) production, c8 aromatics, aromatics from pyrolysis gasoline and other sources

CEAC577 - Petroleum Refinery Engineering (3 + 0) 5

Introduction to petroleum refining and petrochemical industries, steam cracking and olefins production, emerging technologies for olefin production (such as methanol to olefins (mto), partial oxidation, dehydrogenation, metathesis), catalytic reforming and aromatics (btx) production, c8 aromatics, aromatics from pyrolysis gasoline and other sources

CEAC578 - Industrial Plant Investments (3 + 0) 5

Development of investment project idea, revealing project justification and investability, relative levels of conceptual, basic and detailed design, roles of different engineering majors in plant design, conducting project feasibility, regulatory processes and permitting, project management, planning (schedule, cost, performance, risks), financing,

CEAC578 - Industrial Plant Investments (3 + 0) 5

Development of investment project idea, revealing project justification and investability, relative levels of conceptual, basic and detailed design, roles of different engineering majors in plant design, conducting project feasibility, regulatory processes and permitting, project management, planning (schedule, cost, performance, risks), financing,

CEAC578 - Industrial Plant Investments (3 + 0) 5

Development of investment project idea, revealing project justification and investability, relative levels of conceptual, basic and detailed design, roles of different engineering majors in plant design, conducting project feasibility, regulatory processes and permitting, project management, planning (schedule, cost, performance, risks), financing,

CEAC578 - Industrial Plant Investments (3 + 0) 5

Development of investment project idea, revealing project justification and investability, relative levels of conceptual, basic and detailed design, roles of different engineering majors in plant design, conducting project feasibility, regulatory processes and permitting, project management, planning (schedule, cost, performance, risks), financing,

CEAC578 - Industrial Plant Investments (3 + 0) 5

Development of investment project idea, revealing project justification and investability, relative levels of conceptual, basic and detailed design, roles of different engineering majors in plant design, conducting project feasibility, regulatory processes and permitting, project management, planning (schedule, cost, performance, risks), financing,

CHE416 - Basic Biology (3 + 0) 5

Chemistry of life, elements, atoms, compounds, molecules, pH scales, biomolecules; carbohydrates, proteins, lipids, nucleic acids, cell structure and functions, cell membrane structure and function, cellular organelles structure and functions, human organization; blood and circulation system, respiratory system, digestive system, nervous system, chromosomes and chromosomal inheritance, genetics, DNA and biotechnology.

CHE416 - Basic Biology (3 + 0) 5

Chemistry of life, elements, atoms, compounds, molecules, pH scales, biomolecules; carbohydrates, proteins, lipids, nucleic acids, cell structure and functions, cell membrane structure and function, cellular organelles structure and functions, human organization; blood and circulation system, respiratory system, digestive system, nervous system, chromosomes and chromosomal inheritance, genetics, DNA and biotechnology.

CHE416 - Basic Biology (3 + 0) 5

Chemistry of life, elements, atoms, compounds, molecules, pH scales, biomolecules; carbohydrates, proteins, lipids, nucleic acids, cell structure and functions, cell membrane structure and function, cellular organelles structure and functions, human organization; blood and circulation system, respiratory system, digestive system, nervous system, chromosomes and chromosomal inheritance, genetics, DNA and biotechnology.

CHE416 - Basic Biology (3 + 0) 5

Chemistry of life, elements, atoms, compounds, molecules, pH scales, biomolecules; carbohydrates, proteins, lipids, nucleic acids, cell structure and functions, cell membrane structure and function, cellular organelles structure and functions, human organization; blood and circulation system, respiratory system, digestive system, nervous system, chromosomes and chromosomal inheritance, genetics, DNA and biotechnology.

CHE416 - Basic Biology (3 + 0) 5

Chemistry of life, elements, atoms, compounds, molecules, pH scales, biomolecules; carbohydrates, proteins, lipids, nucleic acids, cell structure and functions, cell membrane structure and function, cellular organelles structure and functions, human organization; blood and circulation system, respiratory system, digestive system, nervous system, chromosomes and chromosomal inheritance, genetics, DNA and biotechnology.

CHE416 - Basic Biology (3 + 0) 5

Chemistry of life, elements, atoms, compounds, molecules, pH scales, biomolecules; carbohydrates, proteins, lipids, nucleic acids, cell structure and functions, cell membrane structure and function, cellular organelles structure and functions, human organization; blood and circulation system, respiratory system, digestive system, nervous system, chromosomes and chromosomal inheritance, genetics, DNA and biotechnology.

CHIN201 - Chinese I (3 + 0) 4

Vocabulary, structure and communicative skills at beginners level; various topics such as countries, nationalities, jobs, family, feelings, food and drink, colors and clothes and daily routines

CHIN202 - Chinese II (3 + 0) 4

Vocabulary, structure and communicative skills at beginners level; various themes such as transport, travel, dates, holidays, money, and shopping.

CHIN301 - Chinese III (3 + 0) 4

More vocabulary, structure and communicative skills at elementary level; various themes such as occupations, hobbies, countries, and functions such as asking for and giving information, offering and responding.

CHIN302 - Chinese IV (3 + 0) 4

More vocabulary, structure and communicative skills at elementary level; various themes such as travel, places, appearance, plans, health, weather, phone conversations, and cultural elements.

CMPE236 - Introduction to Microprocessors and Microcontrollers (3 + 2) 8

Introduction to microcontrollers, instruction set, serial port operation, interrupt operation, assembly language programming, program structure and design, tools and techniques for program development, design and interface examples in assembly, design and interface examples.

CMPE236 - Introduction to Microprocessors and Microcontrollers (3 + 2) 8

Introduction to microcontrollers, instruction set, serial port operation, interrupt operation, assembly language programming, program structure and design, tools and techniques for program development, design and interface examples in assembly, design and interface examples.

CMPE236 - Introduction to Microprocessors and Microcontrollers (3 + 2) 8

Introduction to microcontrollers, instruction set, serial port operation, interrupt operation, assembly language programming, program structure and design, tools and techniques for program development, design and interface examples in assembly, design and interface examples.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE312 - Visual Programming (2 + 2) 5

Review of object-oriented programming, visual programming basics such as value types, operator overloading, exception and event handling; using GUI frameworks; working with files and data access by using XML.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE318 - Java Programming (2 + 2) 5

Java technology, object-oriented programming, objects, classes, modularity; encapsulation, polymorphism, elements of Java, exceptions, garbage collector; classes and inheritance; interfaces; the collections framework; the input/output framework; the graphical user interfaces framework; threads.

CMPE323 - Algorithms (3 + 0) 7

Design and analysis of algorithms, O-notation, divide and conquer algorithms, dynamic programming, backtracking and branch and bound, lower bound theory, complexity of sorting and searching algorithms, graph algorithms, NP-hard and NP-complete problems, basic NPC problems, proving problems to be NPC, analysis of some string processing algorithms.

CMPE323 - Algorithms (3 + 0) 7

Design and analysis of algorithms, O-notation, divide and conquer algorithms, dynamic programming, backtracking and branch and bound, lower bound theory, complexity of sorting and searching algorithms, graph algorithms, NP-hard and NP-complete problems, basic NPC problems, proving problems to be NPC, analysis of some string processing algorithms.

CMPE323 - Algorithms (3 + 0) 7

Design and analysis of algorithms, O-notation, divide and conquer algorithms, dynamic programming, backtracking and branch and bound, lower bound theory, complexity of sorting and searching algorithms, graph algorithms, NP-hard and NP-complete problems, basic NPC problems, proving problems to be NPC, analysis of some string processing algorithms.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE326 - Formal Languages and Automata (3 + 0) 6

Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE341 - Database Design and Management (3 + 2) 7

Database system concepts, data modeling with ER and EER, the relational data model, file organizations and index structures, relational algebra, structured query language (SQL); database design: functional dependence and table normalization; introduction to database administration; a relational DBMS in a laboratory environment.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE343 - Database Systems and Programming (2 + 2) 5

Concurrent operations on databases; transaction processing and concurrency control; DB recovery, security and authorization; introduction to DB programming, object-oriented DB concepts.

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE363 - Introduction to Machine Learning (2 + 2) 5

Artificial intelligence, machine learning, Supervised and Unsupervised Learning, Binary classification, Multiclass classification, Regression, Clustering, Model Evaluation Metrics and Scoring

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE376 - Computer Games and Simulation (2 + 0) 5

History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE413 - Logic Programming (3 + 0) 5

Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE424 - Language Processors (3 + 0) 5

Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE430 - Fundamentals of Deep Learning (2 + 2) 5

Artificial intelligence, machine learning, and deep learning, mathematical building blocks of neural networks, binary classification, multiclass classification, regression, deep learning for computer vision.

CMPE431 - Operating Systems (3 + 2) 5

Basic design principles of operating systems, single-user systems, command interpreter, semaphores, deadlock detection, recovery, prevention and avoidance; multi-user OS; resource managers, processor management and algorithms, memory management: partitioning, paging, segmentation and thrashing; device management; interrupt handlers, device drivers

CMPE431 - Operating Systems (3 + 2) 5

Basic design principles of operating systems, single-user systems, command interpreter, semaphores, deadlock detection, recovery, prevention and avoidance; multi-user OS; resource managers, processor management and algorithms, memory management: partitioning, paging, segmentation and thrashing; device management; interrupt handlers, device drivers

CMPE431 - Operating Systems (3 + 2) 5

Basic design principles of operating systems, single-user systems, command interpreter, semaphores, deadlock detection, recovery, prevention and avoidance; multi-user OS; resource managers, processor management and algorithms, memory management: partitioning, paging, segmentation and thrashing; device management; interrupt handlers, device drivers

CMPE431 - Operating Systems (3 + 2) 5

Basic design principles of operating systems, single-user systems, command interpreter, semaphores, deadlock detection, recovery, prevention and avoidance; multi-user OS; resource managers, processor management and algorithms, memory management: partitioning, paging, segmentation and thrashing; device management; interrupt handlers, device drivers

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE432 - Virtualization (3 + 0) 5

Types of virtualization, hardware virtualization, hypervisors, server virtualization, desktop virtualization, storage virtualization, application virtualization, OS virtualization requirements and techniques, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE433 - Cloud Computing and Virtualization (3 + 0) 5

Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE434 - Embeded System Design (2 + 2) 5

Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE435 - Special Topics in Computer Networks (3 + 0) 5

Elaborate concepts of TCP/IP computer networks; application details for well-known applications on the Internet. IPv6 addresses; routing principles and routing algorithms; ICMP communication; VPNs; wireless-networking; network security.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE437 - VLSI Design (2 + 2) 5

Basic fabrication sequence of ICs, self aligned silicon gate, NMOS and CMOS technologies; design rules and layout; memories and registers; full custom and semi-custom ICs; standard cells, gate arrays, FPGAs and PLDs. CAD tools for design of ICs; high level design of ICs using VHDL; low power IC design.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE461 - Applied Neural Computing (2 + 0) 5

Introduction to neural networks, perceptron learning rules, backpropagation algorithms, generalization and overtraining, adaptive linear filters, radial basis networks, self organizing networks, learning vector quantization, recurrent networks.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE462 - Introduction to Artificial Intelligence (3 + 0) 5

Agent paradigm, problem solving by searching, informed/uninformed search methods, genetic algorithms, simulated annealing, constraint satisfaction problems, adverserial search, logical agents, knowledge engineering, expert systems, communication, AI applications.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE463 - Digital Signal Processing (3 + 0) 5

Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE464 - Digital Image Processing (3 + 0) 5

Introduction to signal and image processing, introduction to digital image processing, sampling, reconstruction, and quantization, digital image representation, image transforms, enhancement, restoration, segmentation and description.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE465 - Knowledge Engineering (3 + 0) 5

Knowledge representation methods: rule-based, graph-based, logic-based methods, introduction to Prolog, knowledge acquisition, expert systems, ontology, semantic web, introduction to machine learning.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE466 - Soft Computing (3 + 0) 5

Biological and artificial neurons, perceptron and multilayer perceptron; ANN models and learning algorithms; fuzzy sets and fuzzy logic; basic fuzzy mathematics; fuzzy operators; fuzzy systems: fuzzifier, knowledge base, inference engine, and various inference mechanisms such as Sugeno, Mamdani, Larsen etc., composition and defuzzifier.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE467 - Pattern Recognition (3 + 0) 5

Bayes? decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE468 - Machine Learning for Engineers (3 + 0) 5

Artificial intelligence, machine learning, supervised and unsupervised learning, binary classification, multiclass classification, regression, clustering, model evaluation.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE473 - Computer Graphics (2 + 0) 5

Hardware and software components of graphic systems; output and filled data primitives; 2D and 3D geometric transformation; 2D and 3D viewing pipelines; visible-surface detection methods.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE481 - CO_OP Practice I (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE483 - CO_OP Practice II (3 + 0) 5

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE485 - CO_OP Practice III (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE485 - CO_OP Practice III (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE485 - CO_OP Practice III (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE485 - CO_OP Practice III (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE487 - CO_OP Practice IV (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE487 - CO_OP Practice IV (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE487 - CO_OP Practice IV (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE487 - CO_OP Practice IV (3 + 0) 4

Participating in software/hardware development projects in IT companies who have a COOP agreement; analyzing the methods and techniques utilized in the company; working in analysis, design and development of a project; preparing a report and presentation of his/her experiences.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE521 - Advanced Multimedia Systems (3 + 0) 5

Hardware and software requirements of multimedia systems, multimedia data types (digital audio, video, image), image and video compression techniques, multimedia communication systems, content-based multimedia storage and retrieval, mobile multimedia.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE524 - Advanced Algorithms (3 + 0) 5

Design and analysis of algorithms, O-notation, graph algorithms, topological sort, minimum spanning trees, single-shortest paths, all-pairs shortest paths, flow networks, NP-hard and NP-complete problems.

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE525 - Object-Oriented Design and Programming (3 + 0) 5

Thinking object-oriented, abstraction, object-oriented analysis and design concept, design patterns, UML: introduction, role of modeling, models and views, core diagrams, fundamental elements, sequence, class, and package diagrams, development lifecycle, Java and UML: Responsibility-Driven Design (RDD), and CRC, classes, messages, inheritance, sub

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE531 - Advanced Operating Systems (0 + 0) 5

Advanced topics in process scheduling, multiprocessor and real-time scheduling, concurrent programming fundamentals, review of inter-process communication, semaphores and monitors, synchronization and communication, fault tolerance, recent advances in operating systems.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE532 - Advanced Computer Architecture (3 + 0) 5

Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE533 - Computer and Network Security (3 + 0) 5

Encryption techniques and algorithms, public-key encryption, hash functions, digital signatures, authentication, network security, web security, operating system security (Unix and Windows), Bell-LaPadulla model, software and database security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE535 - Cyber Security (3 + 0) 5

Basic concepts in cyber space and security, cyber crime, IT law, computer law and cyber law, computer forensics, information security and assurance, computer and network security, cyber warfare, international standards on cyber security.

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE536 - Advanced Network Programming   (3 + 0) 5

Introduction to networking, overview of programming language that will be used to implement course content, threads and multi threading, exceptions, sockets, web sockets, streaming, file streaming, memory I/O streams, object streaming, client-side networking, server-side networking, HTTP networking, message queuing, synchronous and asynchronous com

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE537 - Distributed Computing (3 + 0) 5

Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE538 - Advanced Computer Networks (3 + 0) 5

Advanced concepts of TCP/IP computer networks, routing principles and routing algorithms in TCP/IP networks, wireless-networking, multimedia networks, network security, network management.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE541 - Advanced Databases (3 + 0) 5

Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE543 - Big Data Analytics (3 + 0) 5

Infrastructure as a Service(IaaS), Hadoop framework, hive infrastrucure, data visualization, MapReduce model, NoSQL databases, large-scale data workflows, clustering, using R.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE555 - Introduction to Recommender Systems (3 + 0) 5

Basic Concepts of recommender systems, collaborative filtering algorithms, content-based recommendation algorithms, knowledge-based recommendation algorithms, and hybrid recommendation algorithms, evaluating recommender systems, a case study to generate personalized recommendations.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE562 - Multiagent Systems (3 + 0) 5

Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE563 - Information Retrieval (3 + 0) 5

Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE564 - Natural Computing (3 + 0) 5

Problem solving by search, hill climbing, simulated annealing, artificial neural networks, genetic algorithms, swarm intelligence (including ant colony optimization and particle swarm optimization), artificial immune systems.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE565 - Machine Learning (3 + 0) 5

Concept learning, decision tree learning, artificial neural networks, evaluating hypotheses, Bayesian learning, computational learning theory, instance-based learning, genetic algorithms, analytical learning, reinforcement learning.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE566 - Advanced Data Mining (3 + 0) 5

Introduction to data mining, concepts, attributes and instance, data processing (cleaning, integration and reduction), data warehousing and online analytical processing (OLAP), data mining algorithms, credibility, advanced pattern mining, classification, engineering the input and output, data mining software and applications.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE567 - Semantic Web Programming (3 + 0) 5

XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE568 - Advanced Artificial Intelligence (3 + 0) 5

Intelligent agents, problem solving by searching, informed/uninformed search methods, exploration, constraint satisfaction problems, knowledge and reasoning, first-order logic, knowledge representation, learning, selected topics: neural networks, natural computing.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE571 - Biometric Identification and Verification Systems (3 + 0) 5

Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE572 - Fundamentals of the Theory of Computation (3 + 0) 5

Models of computation, Church-Turing thesis, decidability and undecidability, recursive enumerability, time complexity, classes P and NP, space complexity, LOGSPACE, PSPACE-completeness.

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE575 - Parallel and Cluster Computing (3 + 0) 5

Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE578 - Penetration Testing (3 + 0) 5

Penetration testing concepts, ethical issues in penetration testing, building a testing infrastructure, legal issues with penetration testing, port scanning, vulnerability scanning, exploitation, password attacks, web application penetration testing, wireless penetration testing, reporting of the obtained test results.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

CMPE579 - Current Trends in Internetworking Technologies (3 + 0) 5

Overview and history of the community organizations related to internet technologies and standard organizations, open and proprietary standards, widely used current techniques and technologies in internet, latest technologies under development, latest techniques and their states that are under development and discussed by the communities.

E300 - Popüler Bilim (3 + 0) 4

Data not provided

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

E400 - Undergraduate Research Project (3 + 0) 5

Rigorous scholarly research, research methodologies, review of background knowledge, academic reading.

ECON101 - Introduction to Economics I (3 + 0) 5

Introduction to demand, supply and market price formation; household behaviour; elasticity; production process; profit maximizing firm behavior; different market types such as monopoly, perfect competition, oligopoly.

ECON101 - Introduction to Economics I (3 + 0) 5

Introduction to demand, supply and market price formation; household behaviour; elasticity; production process; profit maximizing firm behavior; different market types such as monopoly, perfect competition, oligopoly.

ECON102 - Introduction to Economics II (3 + 0) 5

Aggregate demand, aggregate supply, unemployment, inflation, aggregate expenditure, aggregate income models, fiscal policy, money demand, money supply, monetary policy, multiplier.

ECON102 - Introduction to Economics II (3 + 0) 5

Aggregate demand, aggregate supply, unemployment, inflation, aggregate expenditure, aggregate income models, fiscal policy, money demand, money supply, monetary policy, multiplier.

ECON318 - Digital Economy (3 + 0) 6

Dynamics of the digital economy which has become inevitable in everyday transactions; the contemporary use of the predatory innovation and its essential component; algorithms; concrete examples of regulatory challenges in response to escalating tension from relevant markets from various countries.

ECON325 - Economic Indicators and Financial Markets Analysis (3 + 0) 5

Financial literacy, basic concepts of economic indicators, the impact of economic indicators on the financial markets, stock market structure and trading strategies.

ECON442 - Economics of Innovation (3 + 0) 6

The role of science, technology and innovation in economics at the macro and at the micro level; the diffusion and absorption of innovation; issues concerning the measurement of innovation; the national, regional systems of innovation and clusters; the relationship between R&D support mechanisms and economic performance in Turkey.

EE203 - Digital Circuits and Systems (3 + 2) 6

Number systems and codes, Boolean algebra and logic gates, minimization of Boolean functions, combinational circuits, design of combinational circuits using SSI and MSI components, flip-flops, analysis and design of sequential circuits, counters, shift registers, memory elements, programmable logic devices (PLD), design with PLDs. Introduction to

EE203 - Digital Circuits and Systems (3 + 2) 6

Number systems and codes, Boolean algebra and logic gates, minimization of Boolean functions, combinational circuits, design of combinational circuits using SSI and MSI components, flip-flops, analysis and design of sequential circuits, counters, shift registers, memory elements, programmable logic devices (PLD), design with PLDs. Introduction to

EE203 - Digital Circuits and Systems (3 + 2) 6

Number systems and codes, Boolean algebra and logic gates, minimization of Boolean functions, combinational circuits, design of combinational circuits using SSI and MSI components, flip-flops, analysis and design of sequential circuits, counters, shift registers, memory elements, programmable logic devices (PLD), design with PLDs. Introduction to

EE222 - Microcontrollers (3 + 2) 7

Basic microcontroller structure, memory organisation and addressing, addressing modes, assembly language programming, C programming, interrupts, interrupt programming, interfacing with input and display devices, timers, capture, compare and PWM operations, serial communication, I2C interface, A/D conversion.

EE222 - Microcontrollers (3 + 2) 7

Basic microcontroller structure, memory organisation and addressing, addressing modes, assembly language programming, C programming, interrupts, interrupt programming, interfacing with input and display devices, timers, capture, compare and PWM operations, serial communication, I2C interface, A/D conversion.

EE222 - Microcontrollers (3 + 2) 7

Basic microcontroller structure, memory organisation and addressing, addressing modes, assembly language programming, C programming, interrupts, interrupt programming, interfacing with input and display devices, timers, capture, compare and PWM operations, serial communication, I2C interface, A/D conversion.

EE222 - Microcontrollers (3 + 2) 7

Basic microcontroller structure, memory organisation and addressing, addressing modes, assembly language programming, C programming, interrupts, interrupt programming, interfacing with input and display devices, timers, capture, compare and PWM operations, serial communication, I2C interface, A/D conversion.

EE306 - Digital Signal Processing (3 + 2) 6

Signals and signal processing, discrete-time signals and systems, discrete-time Fourier transform (DTFT) and computation of the DFT, the z-Transform, sampling of continuous-time signals, transform analysis of linear time-invariant (LTI) systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform, app

EE306 - Digital Signal Processing (3 + 2) 6

Signals and signal processing, discrete-time signals and systems, discrete-time Fourier transform (DTFT) and computation of the DFT, the z-Transform, sampling of continuous-time signals, transform analysis of linear time-invariant (LTI) systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform, app

EE306 - Digital Signal Processing (3 + 2) 6

Signals and signal processing, discrete-time signals and systems, discrete-time Fourier transform (DTFT) and computation of the DFT, the z-Transform, sampling of continuous-time signals, transform analysis of linear time-invariant (LTI) systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform, app

EE306 - Digital Signal Processing (3 + 2) 6

Signals and signal processing, discrete-time signals and systems, discrete-time Fourier transform (DTFT) and computation of the DFT, the z-Transform, sampling of continuous-time signals, transform analysis of linear time-invariant (LTI) systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform, app

EE306 - Digital Signal Processing (3 + 2) 6

Signals and signal processing, discrete-time signals and systems, discrete-time Fourier transform (DTFT) and computation of the DFT, the z-Transform, sampling of continuous-time signals, transform analysis of linear time-invariant (LTI) systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform, app

EE306 - Digital Signal Processing (3 + 2) 6

Signals and signal processing, discrete-time signals and systems, discrete-time Fourier transform (DTFT) and computation of the DFT, the z-Transform, sampling of continuous-time signals, transform analysis of linear time-invariant (LTI) systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform, app

EE315 - Digital Integrated Circuits and Systems (3 + 0) 6

Quality metrics of a digital circuits, CMOS manufacturing process, review of diode and MOSFET, interconnects: electrical parameters, models, CMOS inverter: static and dynamic behavior, power and energy, static CMOS design: complementary CMOS, ratioed logic, pass-transistor logic, dynamic CMOS design, sequential CMOS logic: timing metrics, static

EE315 - Digital Integrated Circuits and Systems (3 + 0) 6

Quality metrics of a digital circuits, CMOS manufacturing process, review of diode and MOSFET, interconnects: electrical parameters, models, CMOS inverter: static and dynamic behavior, power and energy, static CMOS design: complementary CMOS, ratioed logic, pass-transistor logic, dynamic CMOS design, sequential CMOS logic: timing metrics, static

EE315 - Digital Integrated Circuits and Systems (3 + 0) 6

Quality metrics of a digital circuits, CMOS manufacturing process, review of diode and MOSFET, interconnects: electrical parameters, models, CMOS inverter: static and dynamic behavior, power and energy, static CMOS design: complementary CMOS, ratioed logic, pass-transistor logic, dynamic CMOS design, sequential CMOS logic: timing metrics, static

EE315 - Digital Integrated Circuits and Systems (3 + 0) 6

Quality metrics of a digital circuits, CMOS manufacturing process, review of diode and MOSFET, interconnects: electrical parameters, models, CMOS inverter: static and dynamic behavior, power and energy, static CMOS design: complementary CMOS, ratioed logic, pass-transistor logic, dynamic CMOS design, sequential CMOS logic: timing metrics, static

EE315 - Digital Integrated Circuits and Systems (3 + 0) 6

Quality metrics of a digital circuits, CMOS manufacturing process, review of diode and MOSFET, interconnects: electrical parameters, models, CMOS inverter: static and dynamic behavior, power and energy, static CMOS design: complementary CMOS, ratioed logic, pass-transistor logic, dynamic CMOS design, sequential CMOS logic: timing metrics, static

EE315 - Digital Integrated Circuits and Systems (3 + 0) 6

Quality metrics of a digital circuits, CMOS manufacturing process, review of diode and MOSFET, interconnects: electrical parameters, models, CMOS inverter: static and dynamic behavior, power and energy, static CMOS design: complementary CMOS, ratioed logic, pass-transistor logic, dynamic CMOS design, sequential CMOS logic: timing metrics, static

EE352 - Electromechanical Energy Conversion (3 + 2) 6

Electric machinery fundamentals, magnetic circuits and materials, electromechanical energy conversion principles, transformers: the ideal transformer, practical transformers, special transformers, three-phase transformers; DC Machines; DC generators, DC motors, DC motor starters, variable speed control of DC motors, synchronous machines: synchrono

EE352 - Electromechanical Energy Conversion (3 + 2) 6

Electric machinery fundamentals, magnetic circuits and materials, electromechanical energy conversion principles, transformers: the ideal transformer, practical transformers, special transformers, three-phase transformers; DC Machines; DC generators, DC motors, DC motor starters, variable speed control of DC motors, synchronous machines: synchrono

EE352 - Electromechanical Energy Conversion (3 + 2) 6

Electric machinery fundamentals, magnetic circuits and materials, electromechanical energy conversion principles, transformers: the ideal transformer, practical transformers, special transformers, three-phase transformers; DC Machines; DC generators, DC motors, DC motor starters, variable speed control of DC motors, synchronous machines: synchrono

EE352 - Electromechanical Energy Conversion (3 + 2) 6

Electric machinery fundamentals, magnetic circuits and materials, electromechanical energy conversion principles, transformers: the ideal transformer, practical transformers, special transformers, three-phase transformers; DC Machines; DC generators, DC motors, DC motor starters, variable speed control of DC motors, synchronous machines: synchrono

EE352 - Electromechanical Energy Conversion (3 + 2) 6

Electric machinery fundamentals, magnetic circuits and materials, electromechanical energy conversion principles, transformers: the ideal transformer, practical transformers, special transformers, three-phase transformers; DC Machines; DC generators, DC motors, DC motor starters, variable speed control of DC motors, synchronous machines: synchrono

EE352 - Electromechanical Energy Conversion (3 + 2) 6

Electric machinery fundamentals, magnetic circuits and materials, electromechanical energy conversion principles, transformers: the ideal transformer, practical transformers, special transformers, three-phase transformers; DC Machines; DC generators, DC motors, DC motor starters, variable speed control of DC motors, synchronous machines: synchrono

EE402 - Wireless Communications (2 + 2) 5

Introduction to wireless systems and standards, radio propagation effects, coverage and statistical channel modeling, time-varying channels, fading effects, various bandpass modulation schemes and detection systems, channel capacity, spread spectrum communications, diversity and combining in cellular systems.

EE402 - Wireless Communications (2 + 2) 5

Introduction to wireless systems and standards, radio propagation effects, coverage and statistical channel modeling, time-varying channels, fading effects, various bandpass modulation schemes and detection systems, channel capacity, spread spectrum communications, diversity and combining in cellular systems.

EE402 - Wireless Communications (2 + 2) 5

Introduction to wireless systems and standards, radio propagation effects, coverage and statistical channel modeling, time-varying channels, fading effects, various bandpass modulation schemes and detection systems, channel capacity, spread spectrum communications, diversity and combining in cellular systems.

EE402 - Wireless Communications (2 + 2) 5

Introduction to wireless systems and standards, radio propagation effects, coverage and statistical channel modeling, time-varying channels, fading effects, various bandpass modulation schemes and detection systems, channel capacity, spread spectrum communications, diversity and combining in cellular systems.

EE402 - Wireless Communications (2 + 2) 5

Introduction to wireless systems and standards, radio propagation effects, coverage and statistical channel modeling, time-varying channels, fading effects, various bandpass modulation schemes and detection systems, channel capacity, spread spectrum communications, diversity and combining in cellular systems.

EE402 - Wireless Communications (2 + 2) 5

Introduction to wireless systems and standards, radio propagation effects, coverage and statistical channel modeling, time-varying channels, fading effects, various bandpass modulation schemes and detection systems, channel capacity, spread spectrum communications, diversity and combining in cellular systems.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE421 - Digital Image Processing (2 + 2) 5

2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards.

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE423 - Neural Networks and Applications (3 + 0) 5

An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE425 - Advanced Digital Design with HDL (2 + 2) 5

Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

EE426 - Real Time Signal Processing (3 + 0) 5

Architecture, instruction set, and hardware and software development tools associated with the Texas Instruments TMS320C6x family of fixed and floating processors. Signal processing applications such as waveform generation, FIR and IIR digital filtering, and DFT and FFT based spectral analysis and filtering. Requires an extensive DSP project of the

EE426 - Real Time Signal Processing (3 + 0) 5

Architecture, instruction set, and hardware and software development tools associated with the Texas Instruments TMS320C6x family of fixed and floating processors. Signal processing applications such as waveform generation, FIR and IIR digital filtering, and DFT and FFT based spectral analysis and filtering. Requires an extensive DSP project of the

EE426 - Real Time Signal Processing (3 + 0) 5

Architecture, instruction set, and hardware and software development tools associated with the Texas Instruments TMS320C6x family of fixed and floating processors. Signal processing applications such as waveform generation, FIR and IIR digital filtering, and DFT and FFT based spectral analysis and filtering. Requires an extensive DSP project of the

EE426 - Real Time Signal Processing (3 + 0) 5

Architecture, instruction set, and hardware and software development tools associated with the Texas Instruments TMS320C6x family of fixed and floating processors. Signal processing applications such as waveform generation, FIR and IIR digital filtering, and DFT and FFT based spectral analysis and filtering. Requires an extensive DSP project of the

EE426 - Real Time Signal Processing (3 + 0) 5

Architecture, instruction set, and hardware and software development tools associated with the Texas Instruments TMS320C6x family of fixed and floating processors. Signal processing applications such as waveform generation, FIR and IIR digital filtering, and DFT and FFT based spectral analysis and filtering. Requires an extensive DSP project of the

EE426 - Real Time Signal Processing (3 + 0) 5

Architecture, instruction set, and hardware and software development tools associated with the Texas Instruments TMS320C6x family of fixed and floating processors. Signal processing applications such as waveform generation, FIR and IIR digital filtering, and DFT and FFT based spectral analysis and filtering. Requires an extensive DSP project of the

EE428 - Biomedical Signals and Instrumentation (3 + 0) 5

Introduction to biomedical instrumentation and physiological measurement, the nature of biomedical signals, the origin of biopotentials and other biological signals, biopotential electrodes,tissue equivalent circuits, principles and operation of basic transducers and sensors, sources and characteristics of biological and instrumentation noise,

EE428 - Biomedical Signals and Instrumentation (3 + 0) 5

Introduction to biomedical instrumentation and physiological measurement, the nature of biomedical signals, the origin of biopotentials and other biological signals, biopotential electrodes,tissue equivalent circuits, principles and operation of basic transducers and sensors, sources and characteristics of biological and instrumentation noise,

EE428 - Biomedical Signals and Instrumentation (3 + 0) 5

Introduction to biomedical instrumentation and physiological measurement, the nature of biomedical signals, the origin of biopotentials and other biological signals, biopotential electrodes,tissue equivalent circuits, principles and operation of basic transducers and sensors, sources and characteristics of biological and instrumentation noise,

EE428 - Biomedical Signals and Instrumentation (3 + 0) 5

Introduction to biomedical instrumentation and physiological measurement, the nature of biomedical signals, the origin of biopotentials and other biological signals, biopotential electrodes,tissue equivalent circuits, principles and operation of basic transducers and sensors, sources and characteristics of biological and instrumentation noise,

EE428 - Biomedical Signals and Instrumentation (3 + 0) 5

Introduction to biomedical instrumentation and physiological measurement, the nature of biomedical signals, the origin of biopotentials and other biological signals, biopotential electrodes,tissue equivalent circuits, principles and operation of basic transducers and sensors, sources and characteristics of biological and instrumentation noise,

EE428 - Biomedical Signals and Instrumentation (3 + 0) 5

Introduction to biomedical instrumentation and physiological measurement, the nature of biomedical signals, the origin of biopotentials and other biological signals, biopotential electrodes,tissue equivalent circuits, principles and operation of basic transducers and sensors, sources and characteristics of biological and instrumentation noise,

EE432 - VLSI Design (3 + 0) 5

Sequential circuits, pipelining. Interconnects: Effects of capacitive and resistive parasitics and solutions. Timing of digital circuits, clock skew and jitter, Clock distribution techniques. Design of arithmetic blocks: Adder, Shifter, Comparator, Multiplier. Designing memory and array structures. Design Methodology and tools. Testing and verifica

EE432 - VLSI Design (3 + 0) 5

Sequential circuits, pipelining. Interconnects: Effects of capacitive and resistive parasitics and solutions. Timing of digital circuits, clock skew and jitter, Clock distribution techniques. Design of arithmetic blocks: Adder, Shifter, Comparator, Multiplier. Designing memory and array structures. Design Methodology and tools. Testing and verifica

EE432 - VLSI Design (3 + 0) 5

Sequential circuits, pipelining. Interconnects: Effects of capacitive and resistive parasitics and solutions. Timing of digital circuits, clock skew and jitter, Clock distribution techniques. Design of arithmetic blocks: Adder, Shifter, Comparator, Multiplier. Designing memory and array structures. Design Methodology and tools. Testing and verifica

EE432 - VLSI Design (3 + 0) 5

Sequential circuits, pipelining. Interconnects: Effects of capacitive and resistive parasitics and solutions. Timing of digital circuits, clock skew and jitter, Clock distribution techniques. Design of arithmetic blocks: Adder, Shifter, Comparator, Multiplier. Designing memory and array structures. Design Methodology and tools. Testing and verifica

EE432 - VLSI Design (3 + 0) 5

Sequential circuits, pipelining. Interconnects: Effects of capacitive and resistive parasitics and solutions. Timing of digital circuits, clock skew and jitter, Clock distribution techniques. Design of arithmetic blocks: Adder, Shifter, Comparator, Multiplier. Designing memory and array structures. Design Methodology and tools. Testing and verifica

EE432 - VLSI Design (3 + 0) 5

Sequential circuits, pipelining. Interconnects: Effects of capacitive and resistive parasitics and solutions. Timing of digital circuits, clock skew and jitter, Clock distribution techniques. Design of arithmetic blocks: Adder, Shifter, Comparator, Multiplier. Designing memory and array structures. Design Methodology and tools. Testing and verifica

EE445 - Introduction to Robotics (3 + 0) 5

Basic components of robotic systems: selection of coordinate frames; homogeneous transformations; solutions to kinematics equations; velocity and force/torque relations; manipulator dynamics in Lagranges formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using the computed torque method.

EE445 - Introduction to Robotics (3 + 0) 5

Basic components of robotic systems: selection of coordinate frames; homogeneous transformations; solutions to kinematics equations; velocity and force/torque relations; manipulator dynamics in Lagranges formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using the computed torque method.

EE445 - Introduction to Robotics (3 + 0) 5

Basic components of robotic systems: selection of coordinate frames; homogeneous transformations; solutions to kinematics equations; velocity and force/torque relations; manipulator dynamics in Lagranges formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using the computed torque method.

EE445 - Introduction to Robotics (3 + 0) 5

Basic components of robotic systems: selection of coordinate frames; homogeneous transformations; solutions to kinematics equations; velocity and force/torque relations; manipulator dynamics in Lagranges formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using the computed torque method.

EE445 - Introduction to Robotics (3 + 0) 5

Basic components of robotic systems: selection of coordinate frames; homogeneous transformations; solutions to kinematics equations; velocity and force/torque relations; manipulator dynamics in Lagranges formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using the computed torque method.

EE445 - Introduction to Robotics (3 + 0) 5

Basic components of robotic systems: selection of coordinate frames; homogeneous transformations; solutions to kinematics equations; velocity and force/torque relations; manipulator dynamics in Lagranges formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using the computed torque method.

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimation, Nonparametric estimation, Linear discriminant functions, Support vector machines, Neural networks, Unsupervised learning and Clustering, Applications such as handwriting recognition, lipreading, geological analysis, medical data processing, d

EE448 - Pattern Recognition (0 + 0) 5

Introduction to the theory of pattern recognition, Bayesian decision theory, Maximum likelihood estimat