URL http://www.cs.hmc.edu/~keller/cs151.html
Contents: Instructor | Catalog | Goals | Grading | Text | Outline | Resources | Applications | Games | People | Groups | Demos
Robert Keller, 242 Olin (4-5 p.m. MTuW or appt.), keller@turing.cs.hmc.edu, x 18483
Knowledge representation, including rule-based systems and neural networks, learning paradigms, and philosophical challenges to artificial intelligence. Discussion of areas of current research: natural language processing, robotics, vision, cognitive modeling, case-based-reasoning. Prerequisite: Computer Science 131. 3 credit hours. (Second semester.)
In the short span of one semester, we wish to gain exposure to as broad a range of AI ideas as possible, exercising some of these ideas through programming assignments. We also wish to pursue in greater depth one or more topics of individual interest, in the form of a project which entails implementation.
35% programming assignments
15% tutorial presentation
35% project
15% project presentations (proposal and final presentation)
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