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 |
Jan 6 – Apr 13, 2015: Mon, 12:30–1:20 p.m.
Jan 6 – Apr 13, 2015: Wed, Fri, 12:30–1:20 p.m. |
Burnaby Burnaby |
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Jan 6 – Apr 13, 2015: Wed, 4:30–7:20 p.m.
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Surrey |