Courses

CSCD 480 - Computational Intelligence and Informatics

Computational frameworks and methodologies of modern computational intelligence and intelligent informatics are studied in a comprehensive problem- solving manner. Topics may include multi-agent systems, expert systems, robotics, optimization, system identification, knowledge and data discovery, OLAP, game playing, vision, cognitive modeling, natural language processing, information retrieval, neural networks, planning and scheduling, pattern recognition and classification, computational logic, knowledge representation and reasoning, uncertainty management and learning. Programming projects are required. --- Prerequisites: CSCD 380 with a minimum grade of 2.7, Advancement Programming Exam Clearance, Advancement in the Major.

CSCD 481 - Advanced Computational Intelligence

Frameworks and methodologies of modern computational intelligence are explored. Topics include cutting edge research from globally recognized academic societies. Programming projects are required. --- Prerequisite: CSCD 480 with a minimum grade of 2.7, Advanced Programming Exam Clearance, Advancement in the Major.

CSCD 482 - Advanced Intelligent Informatics

Frameworks and methodologies of modern intelligent informatics are explored in this course. Topics include cutting edge research from globally recognized academic societies. Programming projects are required. --- Prerequisites: CSCD 480 with a minimum grade of 2.7, Advanced Programming Exam Clearance, Advancement in the Major.

CSCD 580 - Cognition and Computing

Students in this course will explore current topics in computational intelligence, intelligent informatics and computational aspects of brain and cognitive sciences. Fundamental topics to be discussed include, but are not limited to, search, logic, uncertainty, learning, human-computer interaction, language, brain and cognition. Popular applications such as game playing, expert systems, agents, robotics and information management are also discussed. Students are required to conduct extensive surveys and may be required to develop a well-specified research proposal. --- Prerequisites: Complete admission to MSCS.

CSCD 581 - Computational Intelligence

Students in this course will explore current topics in computational intelligence, with an emphasis on approaches that go beyond classic artificial intelligence. Topics are typically selected from current activities in reputable academic societies and include, but are not limited to, fuzzy logic, neural networks, evolutionary computing, swarm intelligence, cybernetics, soft computing, symbiotic computing, computational theory of perception, granular computing, brain and cognitive computing, image and vision understanding, uncertainty management, computational logic and computational linguistics. Students are required to generate research results as specified in proposals and are expected to report their progress and insightful thought in the research practicum. --- Prerequisites: Complete admission to MSCS.

CSCD 582 - Intelligent Informatics

Students in this course will explore current topics on the use of computational intelligence in informatics. Topics are typically selected from current activities in reputable academic societies and include, but are not limited to, intelligent data analysis, risk analysis, decision supports, knowledge management, information exploitation, bioinformatics, cheminformatics, business informatics, ecoinformatics, education informatics, health informatics, laboratory informatics, neuroinformatics, geoinformatics, knowledge-based engineering and security informatics. Students are required to generate research results as specified in proposals and are expected to report their progress and insightful thought in the research practicum. --- Prerequisites: Complete admission to MSCS.