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Course Criteria
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3.00 Credits
Preparation and formulation of computer science courses. Detailed weekly materials organized and perfected. The goal being to develop Open Course Ware (OCW). 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture/Lab, Lab, Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Emphasis on the presentation concepts. Selecting the best mode of delivery and using the power of the web page to enhance the presentation 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture/Lab, Lab, Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Hardware and software for the effective use of the computer in an educational environment, CAI (Computer-Assisted/Aided Instruction) being one of the major areas of investigation . 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Provides supervised experience in the development of computer-based teaching units. Evaluation of different theoretical and/or technical approaches to use of computer in the classroom. 3. 000 Credit Hours 1. 000 Lecture hours 4. 000 Lab hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture/Lab College of Science & Letters College Computer Science Department
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3.00 Credits
Computer system design and architecture such as pipelining and instruction-level parallelism, memory-hierarchy system, interconnection networks, multiprocessors, and clusters of servers. Selected study on current experimental computer systems. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Current problems in computer architecture. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
This course provides an introduction to computer applications in health care with an emphasis on contributions of artificial intelligence and database analysis. Topics will include medical expert systems, medical decision analysis, reasoning under uncertainty, medical tutoring systems, medical language processing, medical record systems, hospital and office information systems, laboratory, pharmacy, radiology and bibliographic information retrieval systems. Presentations and papers or projects will be required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Covers various advanced topics in AI, including both theory and practice. Content may vary by instructor. Possible topics include: Planning: STRIPs planning; Partial-order planning; Situation calculus; Theorem proving; GraphPlan/SatPlan; Transformational planning; Simulated annealing; Motion planning; Case-based reasoning; Multi-agent coordination; Negotiation planning; Representation and Reasoning: Logical representation; Frame problem; Probabilistic reasoning; Bayesian networks; Game Playing: Minimax search; Evaluation functions; Learning evaluation functions; Markov Decision Processes; Reinforcement learning for games; Developing AI agents; Multi-agent planning. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Covers basic algorithms and techniques used in Computational Robotics, to give the student a good basis for work in this highly relevant field. Topics include: Locomotion, Non-visual sensors and algorithms, Uncertainty modeling, data fusion, State space models, Kalman filtering, Visual sensor, Sampling theory, Image features, Depth reconstruction, Multiple view geometry, Ego-motion, Active vision, Reasoning, Spatial decomposition, Geometric representations, Topological representations, Path planning, Spatial uncertainty, Active control, Pose maintenance, Dead reckoning, Correlation-based localization, Sensorial maps, Task planning and task interference, Multi-agent coordination. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Medical expert systems and clinical decision analysis. Decision making under uncertainty. Inference mechanisms for expert systems: production rules, pattern recognition, automatic theorem proving, fuzzy logic. Expert system architecture. Knowledge engineering. Information retrieval. Natural language interfaces. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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