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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)), all with a minimum grade of C-. Students with credit for CMPT 410 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Mo 12:30 PM – 1:20 PM
Th 12:30 PM – 2:20 PM
SWH 10041, Burnaby
SSCK 9500, Burnaby