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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
D100 Oliver Schulte
Mo, We, Fr 2:30 PM – 3:20 PM
REMOTE LEARNING, Burnaby
D200 Mo, We, Fr 2:30 PM – 3:20 PM
REMOTE LEARNING, Burnaby