The course emphasizes the active and significant role managers must assume in the analysis, design, use, and management of information systems. It covers the planning and organization of an MIS project, strategies for the determination of requirements, the transition from analysis to design, the conceptual design of the new system, phases in the implementation process, and conversion methods.

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.

This is a Non-credit course. The widening of students perspective and awareness of topic of interest to computer engineers through seminar offered by faculty, guest speakers and graduate students.

Program of research leading to M.S. degree, arranged between a student and the faculty member. Students register to this course in all semesters starting from the beginning of their second semester while the research program or write-up of the thesis is in progress.

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, Kerberos, certificates. UNIX/LINUX security issues. Data link layer, network layer and application level security. Firewalls and security tools. Secure payment systems. Case studies and programming projects.

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.

This course cover 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.

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.

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 dialog boxes, developing GUI applications, theory of Object Oriented Programming with Unified Modeling Language (UML). Object-Oriented (OO) problem solving, OO concepts (inheritance, composition, abstract classes etc.), object relations, developing OO applications with design patterns, Unit Testing, Project Presentations.

Basics of data communication and computer networks, ISO/OSI basic reference model. Physical, data link, network and transport layers. Routing, flow control, congestion control. Internetworking. TCP/IP suite of protocols. Higher layer protocols. Contemporary network architectures.

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.

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.

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).

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.

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.

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.

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.