CMPUT 366 - Search and Planning in Artificial Intelligence

3 units (fi 6)(EITHER, 3-0-3)

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.

CMPUT 397 - Topics in Computing Science

3 units (fi 6)(VAR, VARIABLE)

This topics course is designed for new course offerings that may be offered in a given term. Prerequisites are determined by the instructor in the course outline. See Note (3) above.

CMPUT 261 - Introduction to Artificial Intelligence

3 units (fi 6)(EITHER, 3-0-3)

Introduction to artificial intelligence focusing on techniques for building intelligent software systems and agents. Topics include search and problem-solving techniques, knowledge representation and reasoning, reasoning and acting under uncertainty, machine learning and neural networks. Prerequisites: one of STAT 151, 161, 181, 235, 265, SCI 151, or MATH 181. Corequisites: CMPUT 204 or 275. Credit cannot be obtained for CMPUT 261 if credit has already been obtained for CMPUT 366, except with permission of the Department.

CMPUT 659 - Topics in Artificial Intelligence

3 units (fi 6)(EITHER, 3-0-0)