ECTS - - Computer Engineering MSc. with Thesis

Compulsory Departmental Courses

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.

CMPE589 - Graduation Seminar (0 + 0) 5

Each master's student with thesis option, at least one semester prior to his/her thesis defense, is expected to give a presentation on his/her thesis work.

CMPE597 - Master's Thesis (0 + 0) 80

Problem identification and analysis, research methodologies, literature survey, typical phases of the system development life cycle, progress report.

Elective Courses

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.

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.

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

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.

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.

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.

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

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.

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.

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

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.

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

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.

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.

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.

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

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.

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.

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.

ISE314 - Data Warehousing and Mining (3 + 0) 5

Data warehousing fundamentals, planning, design and implementation and administration of data warehouses, data cube computation, OLAP query processing; fundamentals of data mining and relationship with data warehouse and OLAP systems; association rule mining; algorithms for clustering, classification and rule learning.

ISE424 - Distance Education and E-Learning (3 + 0) 5

Definitions, history, and theories of distance education and e-learning, instructional design, tools and technologies for distance education, multimedia learning, computer-supported collaborative learning, learning management systems, new directions and developments.

ISE434 - Fundamentals of the Internet of Things (3 + 0) 5

Basics of IoT, IoT architecture, technologies and tools for IoT environment, IoT programming, IoT communication technologies, cloud for IoT applications and analysis, IoT data analytics, edge and fog computing, security management in IOT.

ISE501 - Foundations in IT Management (3 + 0) 5

Computing infrastructure overview; introduction to IT Services: event and fault management; problem management; change management; configuration management; asset management (inventory and software distribution); performance and capacity management;security management; network management; storage management; workload management; backup and recover

ISE502 - Organizational Management and Change (3 + 0) 5

Organizational behavior and management; personality and learning; perception, attribution and judgment of others; values, attitudes and work behavior, theories of work motivation, motivation in practice; groups and teamwork; leadership; communication; decision making, conflict and stress; organizational structure, change management principles: spon

ISE511 - IT Strategy Planning and Governance (3 + 0) 5

The IT strategic planning process; structuring the strategic planning process, analyzing the business environment; identifying the mission and competencies of your organization; assigning value and weight to enterprise objectives; reviewing established IT portfolios; measuring your IT governance maturity; aligning IT to your business objectives, de

ISE516 - Business Process Management (3 + 0) 5

The objective of this course is to introduce Business Process Management (BPM) key principles and methods of business process management covering the entire lifecycle of business processes (BPM).

ISE543 - Internet Security and Ethical Hacking (3 + 0) 5

Data encryption techniques and algorithms; public-key encryption, hash functions; digital signatures, authentication; network security; web security; system security, intruders, viruses, firewalls; the algorithms and data security tools; ethical hacking.

ISE552 - E-Commerce - A Managerial Perspective (3 + 0) 5

Introduction to e-business and e-commerce, electronic marketplaces; technical aspects and infrastructure of e-commerce; e-commerce business models; current state of the art; marketing online, legal environment in e-commerce, fiscal environment in e-commerce; introduction to enabling technologies and standards; workflow systems for e-commerce; curre

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.

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.

SE321 - Object-Oriented Analysis and Design (3 + 0) 7

Fundamentals of object-orientation, object-oriented (OO) modeling using UML, Experimentation in OO analysis: identification of use cases and objects, experimentation in OO design: class hierarchies, implementation in OO programming, design pattern (overview), case study to reinforce the underlying concepts.

SE422 - Introduction to Data Science (3 + 0) 5

Python programming language for data science, data scraping, data manipulation, data visualization, use of vectors and matrices in data science, review of statistical concepts for data science, conditional probability, Bayes?s theorem, normal distribution, prediction, regression, classification and clustering.

SE427 - Blockchain and Cryptocurrency Technologies (2 + 2) 5

Introduction.Blockchain Basics.Consensus Algorithms.Cryptography Fundamentals.Blockchain Networks. Blockchain Programming. Blockchain Transactions, Mining, and Wallets. Smart Contracts. Cryptocurrencies. Blockchain Applications. Decentralization. Blockchain Security. Legal Aspects, Finance, and Economy. Future of Blockchain Technologies.

SE470 - Agile Methods in Software Development (2 + 0) 5

Introduction to agile methods, eXtreme Programming (XP), Lean, Scrum, Crystal, feature-driven development (FDD), Kanban; dynamic systems development method (DSDM); architecture and design issues in agile software methods.

SE544 - Cognitive Aspects of Software Engineering (3 + 0) 5

Introduction to cognitive science and its methods; cognitive processes related to software engineering (memory, expertise, attention, decision making and problem solving, team cognition); basic experimental design; case studies on cognitive aspects of software engineering research.

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

SE554 - Software Quality Management (3 + 0) 5

Introduction to software quality and assurance; components of software quality assurance; configuration management; reviews, inspection and audits; software testing strategies and techniques; software quality standards; certification and assessment; introduction of case studies related with software process improvement and quality metrics.

SE559 - Software Testing and Maintenance (3 + 0) 5

Fundamentals of testing; testing through software lifecycle; lifecycle of testing; static testing techniques; test design techniques; defect management.

SE560 - Requirements Engineering (3 + 0) 5

Domain understanding and requirements eliciation; requirements evaluation; requirements specification and documentation; requirements quality assurance; requirements evolution; modeling system objectives with goal diagrams; risk analysis on goal models; modeling system agents and responsibilities; modeling system behaviours; integrating multiple sy

SE571 - Agile Software Development Approaches (2 + 2) 5

Introduction to agile methods; extreme programming (XP); Lean, Scrum; Crystal; feature-driven development (FDD); Kanban; dynamic systems development method (DSDM); architecture and design issues in agile software methods.

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.