Catalog Description: Ideas and techniques underlying the design of intelligent computer systems. Topics include search, game playing, knowledge representation, inference, planning, reasoning under uncertainty, machine learning, robotics, perception, and language understanding.

Units: 4

Prerequisites: COMPSCI 61A, COMPSCI 61B, and COMPSCI 70.

Formats:
Summer: 6.0-6.0 hours of lecture and 2.0-3.0 hours of discussion per week
Fall: 3.0-3.0 hours of lecture and 1.0-1.5 hours of discussion per week
Spring: 3.0-3.0 hours of lecture and 1.0-1.5 hours of discussion per week

Grading basis: letter

Final exam status: Written final exam conducted during the scheduled final exam period


Class Schedule (Spring 2024):
CS 188 – TuTh 12:30-13:59, Wheeler 150 – Cameron Allen, Michael Cohen

Class homepage on inst.eecs


Department Notes:

Course objectives: An introduction to the full range of topics studied in artificial intelligence, with emphasis on the "core competences" of intelligent systems - problem solving, reasoning, decision making, and learning - and on the logical and probabilistic foundations of these activities.

Topics covered:

Related Areas: