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 2024

Lectures

Section Capacity Class times Instructor(s)
LECTURE B1
(10900)
215
2024-01-08 - 2024-04-12 (MWF)
11:00 - 11:50
ESB 3-27
Primary Instructor: Levi Santana de Lelis

Labs

Section Capacity Class times Instructor(s)
LAB H01
(10901)
215
2024-01-08 - 2024-04-12 (R)
17:00 - 19:50
ETLC E1-003

Fall Term 2024

Lectures

Section Capacity Class times Instructor(s)
LECTURE A1
(47487)
215
2024-09-03 - 2024-12-09 (TR)
14:00 - 15:20
ETLC E1-017

Labs

Section Capacity Class times Instructor(s)
LAB D01
(47628)
215
2024-09-03 - 2024-12-09 (M)
17:00 - 19:50
CCIS L2-190