Master of Science in Computer Science Online

Focuses on the basic principles of computer communication as well as hardware and software designs. Topics include transmission media, data encoding, transmission techniques, protocols, switching networks, broadcast networks, and local area networks.

Topics include the history and evolution of operating systems, the concepts behind and structure of various operating systems, process scheduling, inter-process communication, input and output, multiprogramming, memory management, and file systems. Concepts of parallel systems are introduced.

Design and analysis of algorithms. Turing machines, NP- Complete theory, best, average, and worst case analysis, divide-and-conquer, greedy method, dynamic programming, graph traversal, backtracking, and branch- and bound techniques. Sorting, searching, graph algorithms, and optimization.

Computer Architecture Principles and advanced topics of the instruction set architecture for uni-processor, embedded system processor, and multi-processor.

This course is designed for IT professionals to learn computer and network security theories and practices that can be used to significantly reduce the security vulnerability of computers on internal networks or the Internet. The course assumes some familiarity with various operating systems and computer networks. Topics include cryptography, program security, operating systems security, database security, network security, security administration, computer ethics, and legal issues.

This course is designed for Security System Administrators and Managers who are responsible for the design, planning and management of security installations in Business and Government Institutions. Topics include Management of Information Security, security planning, security protection (technical and procedural), best practices, risk management, Operations Security, legal issues and certification and accreditation. The course assumes some familiarity with various topics taught in an Introduction of Information Assurance course. Prerequisite: CSC 535.

This course introduces students to game design and development concepts. Topics include the history of games, genres, play elements, story and character development, game play and storyboard design, level and user interface design, and the game design document.

This is a project-oriented course on 3D Game Programming. Students will work in teams to design, implement and test a three-dimensional game with interactivity, game state diagrams, animation, sound, and constraints. Students will also learn the basics of graphic design and animation. Prerequisite: CSC 571.

Machine learning is a subfield of artificial intelligence that is concerned with the design, analysis, implementation, and applications of programs that learn from experience. It offers some of the most cost-effective approaches to automated knowledge acquisition in emerging data-rich disciplines. This course is about learning to extract statistical structure from data, for making decisions and predictions, as well as for visualization. The course gives in-depth coverage of advanced methods in machine learning, as well as their underlying theory. It emphasizes approaches with practical relevance and discusses a number of recent applications of machine learning, such as recommender systems and malware detection systems. An open research project is a major part of the course.

Focuses on network defense and countermeasures, including firewalls, intrusion detection and prevention systems, virtual private networks. Prerequisite: CSC 530.

Supervised independent project designed to give computer science graduate students an opportunity to explore a single topic in a one-to-one learning relationship with a faculty member. This will be the final course in the program.