Curriculum

Course Code Course Name Credit Theoretical Lab/Practical ECTS
IT501 PROGRAMMING LANGUAGES 3 3 0
IT5X1 ELECTIVE COURSE 3 3 0
IT5X3 ELECTIVE COURSE 3 3 0
IT5X4 ELECTIVE COURSE 3 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
IT502 ADVANCED DATABASE MANAGEMENT SYSTEMS 3 3 0
IT580 TERM PROJECT 0 0 0
IT5X2 ELECTIVE COURSE 3 3 0
IT5X5 ELECTIVE COURSE 3 3 0
IT5X6 ELECTIVE COURSE 3 3 0
IT5X7 ELECTIVE COURSE 3 3 0
IT5X8 ELECTIVE COURSE 3 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
IT537 COMPUTER VISION 3 3 0
ASCI503 RESEARCH IN INFORMATION SYSTEMS: ORGANIZATIONAL PERSPECTIVES 3 3 0
This course is designed to provide an introduction to theoretical perspectives and foundations in the fundamental topics of information and communication technologies, digital systems and digitization in business processes. This course aims to help information systems postgraduate students to carry out a research in Information Systems field as well as in fields of business, information science, communications, computer science, etc. In this course, students will be able to apply and understand the strengths and weaknesses of the commonly used research methodologies in information systems, enhance their ability to theorize about information technology and learn the process of publishing information technology related research in information systems and non-IS journals.
MIS558 INFORMATION SECURITY 3 3 0
MIS542 DATA MINING AND BUSINESS INTELLIGENCE 3 3 0
IT511 COMPUTER ARCHITECTURE 3 3 0
IT526 OPERATING SYSTEM AND NETWORK SECURITY 3 3 0
IT550 ADVANCED INFORMATION SYSTEM DESIGN 3 3 0
MIS523 MANAGEMENT INFORMATION SYSTEMS 3 3 0
MIS531 DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT 3 3 0
IT513 SYSTEMS PROGRAMMING AND APPLICATIONS 3 3 0
IT530 COMPUTER NETWORKS AND COMMUNICATIONS 3 3 0
IT555 ADVANCED TOPICS IN SOFTWARE ENGINEERING 3 3 0
IT343 DATABASE MANAGEMENT SYSTEMS I 0 0 0
IT233 INTERNET PROGRAMMING 0 0 0
CMPE538 BIOMETRIC SYSTEMS 3 3 0
This course will present an introduction to the principles of operation, design, testing, and implementation of the unimodal and multimodal biometric systems. Major and emerging biometric technologies (fingerprint, face, hand, iris, hand geometry, palmprint, keystroke, handwriting, signature, gait, voice etc.) performance and issues related to the security and privacy aspects of these systems will be addressed. Students will be introduced to a variety of methods used for processing data from various biometrics (especially signature biometric modality) and to statistical methods employed to achieve acceptable recognition performance rates (i.e. false accept rate, false reject rate, equal error rate and correct classification rates).