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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 or ENSC 251 and ENSC 252)). Students with credit for CMPT 410 may not take this course for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Yagiz Aksoy |
Jan 6 – Apr 9, 2020: Mon, Wed, Fri, 3:30–4:20 p.m.
|
Burnaby |
|
|
Toby Donaldson |
Jan 6 – Apr 9, 2020: Mon, Wed, Fri, 9:30–10:20 a.m.
|
Surrey |