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 |
|---|---|---|---|
|
Maxwell Libbrecht |
Jan 3 – Apr 8, 2019: Mon, Wed, Fri, 9:30–10:20 a.m.
|
Burnaby |
|
|
Maxwell Libbrecht |
Jan 3 – Apr 8, 2019: Mon, Wed, Fri, 12:30–1:20 p.m.
|
Burnaby |