Hours:
24L/12T
Theories and algorithms that capture (or approximate) some of the core elements of computational intelligence. Topics include: search; logical representations and reasoning, classical automated planning, representing and reasoning with uncertainty, learning, decision making (planning) under uncertainty. Assignments provide practical experience, in both theory and programming, of the core topics.
Prerequisite:
Recommended Preparation:
Distribution Requirements:
Science
Breadth Requirements:
The Physical and Mathematical Universes (5)
Program Area Section: