CMPUT 366 - Search and Planning in Artificial Intelligence

★ 3 (fi 6)(EITHER, 3-0-3)

Faculty of Science

This course provides an introduction to search and planning in artificial intelligence. The course covers deterministic single-agent and multi-agent problems. Students will learn how to model real-world problems as state-space search problems and how to solve such problems. The course covers algorithms for solving deterministic shortest path problems with factored and non-factored states, combinatorial optimization problems, constraint satisfaction problems, and multi- agent problems. Prerequisites: CMPUT 204 or 275, and CMPUT 272.

No syllabi

Winter Term 2023

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE B1
(41213)
200
2023-01-05 - 2023-04-12
MWF 11:00 - 11:50 (ETLC E1-007)
Primary Instructor: Levi Santana de Lelis

Labs

Section Capacity Dates + Times Instructor(s)
LAB H01
(41214)
200
2023-01-05 - 2023-04-12
H 17:00 - 19:50 (ETLC E1-007)