Curriculum

Course Code Course Name Credit Theoretical Lab/Practical ECTS
CMPE501 PROGRAMMING LANGUAGES 3 3 0
Brief historical perspective. Understanding and using Integrated Development Environment (IDE). Java basics, introduction to graphical user interfaces (GUI) for Java, using Swing Components and Java Listeners, Swing dialogue boxes, developing GUI applications, theory of Object Oriented Programming with Unified Modeling Language (UML). Object-Oriented (OO) problem solving, Object-Oriented (OO) concepts (inheritance, composition, abstract classes etc.), object relations, developing Object-Oriented (OO) applications with design patterns, Unit Testing, Project Presentations.
CMPEXX1 ELECTIVE 3 3 0
CMPEXX2 ELECTIVE 3 3 0
CMPEXX3 ELECTIVE 3 3 0
CMPEXX4 ELECTIVE 3 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
CMPE555 ADVANCED TOPICS IN SOFTWARE ENGINEERING 3 3 0
The main topics discussed in this course are development methodologies and design patterns. Software life cycle phases like requirements, design, implementation, testing and deployment will be discussed with methodologies like Waterfall, prototyping and Extreme Programming. Also design patterns like creational, structural and behavioral patterns will be evaluated.
CMPEXX5 ELECTIVE 3 3 0
CMPEXX6 ELECTIVE 3 3 0
CMPEXX7 ELECTIVE 3 3 0
CMPEXX8 ELECTIVE 3 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
CMPE580 TERM PROJECT 0 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
CMPE526 OPERATING SYSTEM AND NETWORK SECURITY 3 3 0
This course gives essential information for operating system and computer network security basics, risk analysis, security policies, concept of trusted computers and networks. Conventional and public key cryptography. Authentication and digital signatures. Authentication protocols and applications, certification, LINUX security issues. Data link layer, network layer and application level security. Firewalls and security tools. Secure payment systems. Case studies and programming projects.
CMPE540 ADVANCED DATABASE MANAGEMENT SYSTEMS 3 3 0
This course covers a number of advanced topics in database management systems and modern database applications. The specific topics include advanced concurrency control techniques, query processing and optimization strategies for relational database systems, advanced indexing methods, parallel and distributed database systems, next-generation data models, data mining on large databases, data on the web, and topics in data security and privacy.
CMPE530 COMPUTER NETWORKS AND COMMUNICATIONS 3 3 0
MISY555 MANAGEMENT SCIENCE 3 3 0
MISY523 MANAGEMENT INFORMATION SYSTEMS 3 3 0
CMPE513 SYSTEMS PROGRAMMING AND APPLICATIONS 3 3 0
Design and develop applications by using the benefits of operating system and computer architecture. Threads and concurrent programming, TCP/UDP, RPC/IPC, System calls, remote procedure calls (RPC) and web services, xml and xml parsing, socket communication, logging.
CMPE523 PERFORMANCE EVALUATION OF COMPUTER NETWORKS 3 3 0
MISY542 DATA MINING AND BUSINESS INTELLIGENCE 3 3 0
CMPE537 COMPUTER VISION 3 3 0
Image formation. Early processing: low-level vision and feature extraction. Boundary detection. Region growing. Texture. Motion. Two-dimensional and three-dimensional representation. High-level vision: learning and matching.
CMPE537 COMPUTER VISIONS 3 3 0
CMPE511 COMPUTER ARCHITECTURE 3 3 0
Pushing a single processor to its limits. Instruction set design and its effect on computer performance. micro-programming. Addressing techniques. Memory hierarchy. Associative, virtual and cache memory. Memory management. Interrupts, DMA and channels. Comparative study of commercial computer architecture.
EMNT525 RESEARCH METHODS 3 3 0
MISY565 EDUCATIONAL TECHNOLOGY 3 3 0
MISY531 DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT 3 3 0
MISY513 ORGANIZATION AND MANAGEMENT 3 3 0
EMNT503 PROJECT SCHEDULING 3 3 0
MISY558 INFORMATION SECURITY 3 3 0
CMPE545 ARTIFICIAL NEURAL NETWORKS 3 3 0
Introduction to cognitive science. Parallel, distributed problems. Constraint satisfaction. Liopfield model. Supervised vs. unsupervised learning. Single vs. multi-layer perceptions. Static vs. dynamic network architecture. Comparison of neural approaches with parametric and non-parametric statistical methods. Neural network applications.
CMPE525 ADVANCED NETWORK PROGRAMMING 3 3 0
The goal of this module is to introduce the students to advanced network programming concepts. They will study issues such as multitasking, multi-threading, processes, inter-process communications and network communications. Client-server communications for long term (e.g. large file transfer, multimedia streaming) and short term sessions (e.g. Web traffic) will be presented. P2P, RMI, applet-servlet, e-mail and multimedia mail will be introduced. The course will also address issues related to the programming of network equipment, including router architecture, network signaling, firewall and deep packet probes, network processors, network support for unicast, multicast and broadcast, and the use of techniques for dynamically changing router code, such as mobile agents and active networks