Courses
MDES600 - Research Methodology and Communication Skills (3 + 0) 5
Rigorous, scholarly research, particularly theses or dissertations. Literature review, surveys, meta-analysis, empirical research design, formulating research questions, theory building, qualitative and quantitative data collection and analysis methods, validity, reliability, triangulation, building evidences, writing research proposal
MECE521 - Control Engineering I (3 + 0) 5
State space analysis of systems, state feedback, observers, Lyapunov stability theory, phase portraits, and the describing function analysis.
MECE522 - Control Engineering II (3 + 0) 5
Fundamentals of state observers, regulator and control systems design, stochastic systems, Kalman filtering, MatLab-Simulink utilization; projects and laboratory studies about modeling and control of dynamical systems in mechatronic systems laboratory.
MECE589 - Graduation Seminar (0 + 0) 5
Scholar presentations of current research topics in mechatronics engineering.
MECE597 - Master's Thesis (0 + 0) 80
Thesis topic as stated on the thesis protocol.
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
IE416 - Expert Systems (3 + 0) 5
Technology of expert systems and applications; development of a simple expert system; artificial intelligence concepts, heuristics, problem solving, intelligent attributes; use of expert systems in industry; intelligent decision support systems; case studies about engineering environments.
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.
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.
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.
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.
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.
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.
EE503 - Linear System Theory (3 + 0) 5
Review of linear algebra concepts, linear system representations, existence of solutions, state transition matrices, canonical realizations, controller designs, observer designs, introduction to multi-input multi-output systems.
EE504 - Introduction to Systems Analysis (3 + 0) 5
Review of linear algebra concepts, classifications of systems and system representations, continuous and discrete time systems, state space realizations, analysis techniques: frequency domain, Laplace and z-domain analyses, solutions of linear systems, stability analysis; assessment of the techniques by a computational tool such as MATLAB.
EE505 - 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.
EE506 - Computational Methods in Electrical and Electronics Engineering (3 + 0) 5
Root finding and numerical integration, fixed and floating point arithmetic and error standards, one and multidimensional interpolation and extrapolation, numerical optimization techniques, least squares, statistical methods (Monte Carlo), computational approaches to linear transformations (Karhunen-Loeve, discrete Fourier).
EE519 - Speech Processing and Its Applications (3 + 0) 5
Features of the speech signal; time-domain and frequency-domain analysis techniques; speech coding fundamentals; speech processing applications, speech recognition, speech synthesis, speaker verification.
EE525 - Embedded System Design with Field Programmable Gate Arrays (3 + 0) 5
Language constructs of Verilog, behavioral models of combinational and sequential logic; logic, RTL, and high-level synthesis of combinational and sequential logic; datapath controllers; programmable logic and storage devices, HDL architectures for basic digital processing implementations.
EE573 - Computer Vision (3 + 0) 5
Human vision, geometric camera models, image segmentation, object recognition, video signals and standards, vision system design, computer vision and digital video applications.
IE503 - System Analysis and Design (3 + 0) 5
Requirements engineering and modeling, structural modeling, system architecture and user interface design, documentation, testing and installation, traceability, project planning and management.
ISE542 - IT Security (3 + 0) 5
Introduction to IT security, security plans, security policies, security models: TCSEC, common criteria, ISE/IEC 27000, CIBIT, ITIL; security risk assessment and management; security solutions; IT services and security; personnel security; ethics in IT security.
MATH521 - Numerical Analysis I (3 + 0) 5
Matrix and vector norms, error analysis, solution of linear systems: Gaussian elimination and LU decomposition, condition number, stability analysis and computational complexity; least square problems: singular value decomposition, QR algorithm, stability analysis; matrix eigenvalue problems; iterative methods for solving linear systems: Jacobi, Ga
MATH522 - Numerical Analysis II (3 + 0) 5
Iterative methods for nonlinear equations and nonlinear systems, interpolation and approximation: polynomial trigonometric, spline interpolation; least squares and minimax approximations; numerical differentiation and integration: Newton-Cotes, Gauss, Romberg methods, extrapolation, error analysis.
MATH524 - Finite Difference Methods for PDEs (3 + 0) 5
Finite difference method, parabolic equations: explicit and implicit methods, Richardson, Dufort-Frankel and Crank-Nicolson schemes; hyperbolic equations: Lax-Wendroff, Crank-Nicolson, box and leap-frog schemes; elliptic equations: consistency, stability and convergence of finite different methods for numerical solutions of partial differential equ
MATH562 - Theory of Differential Equations (3 + 0) 5
IVP: existence and uniqueness, continuation and continuous dependence of solutions; linear systems: linear (non)homogeneous systems with constant and variable coefficients; structure of solutions of systems with periodic coefficients; higher order linear differential equations; Sturmian theory, stability: Lyapunov (in)stability, Lyapunov functions
MATH542 - Algebraic Number Theory (3 + 0) 5
Integers, norm, trace, discriminant, algebraic integers, quadratic integers, Dedekind domains, valuations, ramification in an extension of Dedekind domains, different, ramification in Galois extensions, ramification and arithmetic in quadratic fields, the quadratic reciprocity law, ramification and integers in cyclotomic fields, Kronecker-Weber the
MATH565 - Dynamic Systems on Time Scales (3 + 0) 5
Differentiation on time scales, integration on time scales, the first-order linear differential equations on time scales, initial value problem, the exponential function on time scales, the second-order linear differential equations on time scales, boundary value problem, Green?s function, the Sturm-Liouville eigenvalue problem.
MECE525 - Intelligent Control (3 + 0) 5
Intelligent control methodologies, learning control, fuzzy control, neurocontrol, neuro-fuzzy control.
MECE404 - Intelligent Mechatronics (2 + 2) 5
Artificial neural networks (ANN), fuzzy logic (FL), genetic algorithms (GA); the use of ANN, FL and GA in control, estimation, planning, diagnosis, imaging, and heuristic search methods.
MECE445 - Robot Vision (3 + 0) 5
An introduction to the algorithms and mathematical analysis associated with the visual process; binary image processing, regions and segmentation, edge detection, photometric stereo, stereo and calibration, introduction to dynamic vision and motion.
MECE451 - Mechatronics in Automotive Engineering (3 + 0) 5
Automotive structures, suspension, steering, brakes, and driveline; basic vehicle dynamics in the performance and handling modes.
MECE539 - Flying Robotics (3 + 0) 5
Bbasics about flying robots; VTOL systems (such as quadrotor platforms) with rotating wings; fixed wing systems; mathematical models, control algorithms, sensor systems, estimation and identification practices, control hardware, and the experimental setups related with the flying robots.
MECE574 - Industrial Automation and Robotics Technology (3 + 0) 5
Principles of industrial automation systems, system approach for automated machinery and plants; advanced topics in pneumatic and hydraulic components and systems, design of pneumatic and hydraulic systems; principles of industrial robots and their role in industrial automation, mobile robots, robot arms, AS/RS; design issues in industrial automati
MFGE577 - Quality Control and Metrology (3 + 0) 5
Elementary metrology, linear-angular and comparative measurement, instruments and gauges for testing straightness, flatness, squareness, parallelism, limits, fits and gauges, inspection, quality function in industry, fundamentals of statistical concept in quality control, control charts in SQC, sampling inspection, operation characteristics (OC) cu
MDES610 - Mathematical Modeling via Differential and Difference Equations (3 + 0) 5
Differential equations and solutions, models of vertical motion, single-species population models, multiple-species population models, mechanical oscillators, modeling electric circuits, diffusion models, modeling by means of difference equations.
MDES615 - Analytical Probability Theory (3 + 0) 5
Sigma-algebra of sets, measure, integral with respect to measure; probability space; independent events and independent experiments; random variables and probability distributions; moments and numerical characteristics; random vectors and independent random variables; convergence of random variables; transform methods; sums of independent random v
MDES620 - Numerical Solution of Differential Equations (3 + 0) 5
Numerical solution of initial value problems; Euler, multistep and Runge-Kutta methods; numerical solution of boundary value problems; shooting and finite difference methods; stability, convergence and accuracy; numerical solution of partial differential equations; finite difference methods for parabolic, hyperbolic and elliptic equations; explic
MDES621 - Numerical Linear Algebra (3 + 0) 5
Floating point computations, vector and matrix norms, direct methods for the solution of linear systems, least squares problems, eigenvalue problems, singular value decomposition, iterative methods for linear systems.
MDES640 - Advanced Theory of Engineering Design (3 + 0) 5
Determination of the customer needs and the real design problem; engineering creativity; generation of innovative solution alternatives, and selection of the effective solution; modularity in design; collaboration in interdisciplinary design tasks; concepts of systems, models, and strategies for purposeful activities; design and control of design p
MDES641 - Biomimetic and Bioinspired Engineering Design (3 + 0) 5
definitions, terminology and concepts in biomimetics; review of biological systems for kinematic and dynamic analysis, for structural analysis, and for behavioral modeling; reverse engineering as applied to biological systems; mapping concepts of biological systems on the engineering systems; theories and application principles of modeling and scal
MDES650 - Advanced System Simulation (3 + 0) 5
Discrete simulation models for complex systems, input probability distributions, random variable generation, statistical inferences, variance reduction, continuous processes, verification and validation, advanced models.
MDES655 - Linear Optimization (3 + 0) 5
Sets of linear equations, linear feasibility and optimization, local and global optima, the Simplex method and its variants, theory of duality and the dual-Simplex method, network-Simplex algorithms, computational complexity issues and interior-point algorithms.
SE550 - Software Engineering (3 + 0) 5
Introduction to software engineering and related topics; software process and project metrics; project planning; scheduling and tracking; configuration management; software quality assurance; requirement analysis; data flow diagrams and related topics; design concepts and methods; implementation; testing methods and test strategies; object-oriented
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
EE448 - Pattern Recognition (3 + 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
MECE511 - Sensors, Actuators and Interfacing (3 + 0) 5
Building blocks of mechatronic products; sensors, classification of sensors; proximity, angular displacement, rotational measurement sensors; force and torque measurement sensors; pressure sensors, accelerometers; gyros. temperature and humidity sensors; light detection and CMOS imaging sensors; actuators, classification of actuators; power amplifi
MECE536 - Vehicle Dynamics (3 + 0) 5
Mathematical modeling and simulation of vehicle dynamics; tire models, handling dynamics, roll dynamics, ride dynamics, and estimation of vehicle states and parameters; controllers for stability and improvement of vehicle dynamics.
MECE570 - System Theory (3 + 0) 5
Modeling, formulation and solution of mechatronics systems in theoretical basis; modeling, formulating and solving all kinds of mechatronics systems problems in theoretical and practical situations, both in time-domain and complex frequency domain; controllability and observability; Liapunov stability methods.
MECE531 - Advanced Dynamics (2 + 0) 5
The principles of Newtonian dynamics, planar kinematics and kinetics, three-dimensional kinematics, kinetics of rigid bodies, vibration.
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.
SE573 - Applied Machine Learning in Data Analytics (3 + 0) 5
Data statistics; linear discriminant analysis; decision trees; artificial neural networks; Bayesian learning; distance measures; instance-based and reinforcement learning; clustering; regression; support vector machines.
EE612 - Nonlinear Systems (3 + 0) 5
Nonlinear models and nonlinear phenomena, qualitative behaviour of second order systems, Lyapunov stability, passivity, Poincaré and Bendixon theorems, frequency response of nonlinear systems and describing functions, applications of Lyapunov theory, advanced nonlinear phenomena such as bifurcations.
MECE447 - Path Planning and Navigation (3 + 0) 5
Introduction, kinematic models for mobile robots, mobile robot control, robot attitude, robot navigation, path finding, obstacle mapping and its application to robot navigation, application of Kalman filtering.
MFGE420 - Project Management in Manufacturing (3 + 0) 5
Project management standards;project,portfolio,program and operation management concepts; managing participation,teamwork, and conflict;need identification and assessment,problem definition; creativity and idea generation;methods and tools of functional/physical/task decomposition;mind mapping;planning methods; cost estimation and budgeting;time management and scheduling;project quality management;resource allocation; project risk management techniques; project execution, monitoringtechniques
EE449 - Pattern Classification and Sensor Applications for Engineers (3 + 0) 5
Sensors, general information about sensor types and sensor working principles; what is a pattern; pattern classification applications; theory and methods of pattern classification; feature extraction and selection; MATLAB Classification Learner Tool; analysis and performance of classifiers; RFID basics.
MECE406 - Digital Control (3 + 0) 5
Z-transform, discretization, stability analysis, steady state analysis, root locus, design in discrete time, state space and structural properties of discrete time systems, Lyapunov theory and observer based design.
MECE416 - Control Systems II (3 + 2) 6
Frequency response, Sketches bode diagram and polar plot, Stability analysis in frequency domain, (Gain Margin, Phase Margin and Nyquist stability criterion), Compensator design, Modeling in state-space, Stability analysis in state-space, Eigenvalues, and eigenvectors, Steady-state error analysis, Lagrangian mechanics, Linearizing nonlinear system, Controllability and observability concept, State feedback control, Design of observer, Design of servo, Optimal control.
MATH587 - Applied Mathematics (3 + 0) 5
Calculus of variations: Euler-Lagrange equation, the first and second variations, necessary and sufficient conditions for extrema, Hamilton`s principle, and applications to Sturm-Liouville problems and mechanics; integral equations: Fredholm and Volterra integral equations, the Green?s function, Hilbert-Schmidt theory, the Neumann series and Fredho
EE571 - Digital Signal Analysis (3 + 0) 5
Mathematical methods for signal processing, spectrum estimation, discrete Karhunen-Loeve transform, detection of a signal in noise, multiple signal classification (MUSIC), least mean square algorithm, classification systems, Kalman filters.