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Artificial Intelligence Survey CMPT 310 (3)
Provides a unified discussion of the fundamental approaches to the problems in artificial intelligence. The topics considered are: representational typology and search methods; game playing, heuristic programming; pattern recognition and classification; theorem-proving; question-answering systems; natural language understanding; computer vision. Prerequisite: CMPT 225 and MACM 101. Students with credit for CMPT 410 may not take this course for further credit.
Section | Instructor | Day/Time | Location |
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Oliver Schulte |
Sep 2 – Dec 1, 2014: Mon, Wed, Fri, 2:30–3:20 p.m.
|
Burnaby |