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 |
|---|---|---|---|
|
James Delgrande |
Sep 6 – Dec 5, 2016: Mon, 1:30–2:20 p.m.
Sep 6 – Dec 5, 2016: Wed, Fri, 1:30–2:20 p.m. |
Burnaby Burnaby |