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Course Criteria
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4.00 Credits
Prerequisites: Complete admission to MSCS. 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.
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4.00 Credits
Prerequisites: Complete admission to MSCS. 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.
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4.00 Credits
Prerequisites: Complete admission to MSCS. 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.
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4.00 Credits
Prerequisite: CSCD 210, 225, 234 or 305 or equivalent. This course will begin with a brief overview of human-computer user interfaces historically, with an eye to identifying the key steps in their development conceptually. Students will read in the field of classical human factors, focusing on finding a particular relevance to user interface design and operation. Exploration of the domain of interaction design and testing and intellectual property protection as it relates to human-computer interfaces, investigating what constitutes (or does not constitute) a patentable method and how patent protections are pursued will be discussed. Written projects and team projects are required.
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2.00 - 16.00 Credits
Professional Internship
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2.00 - 5.00 Credits
Experimental Course
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1.00 - 5.00 Credits
Note: Only one workshop course for up to three credits may be used to fulfill graduate degree requirements.
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1.00 - 5.00 Credits
Seminar
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1.00 - 6.00 Credits
Prerequisite: Permission of the instructor and the department chair.
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2.00 - 16.00 Credits
Graded Pass/No Credit. A research thesis under the direction of a graduate committee.
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