AAAI 290 - AICE: Artificial Intelligence

When Offered: F, S, SS

3 Credit(s)
3 Lecture Hour(s)
0 Lab Hour(s)

This course presents the theory of artificial intelligence, and application of the principles of artificial intelligence to problems that cannot be solved, or cannot be solved efficiently, by standard algorithmic techniques. Knowledge representation, and Knowledge-based systems. Topics include search strategies, production systems, heuristic search, expert systems, inference rules, computational logic, natural language processing. Predicate calculus is discussed. An artificial intelligence language is presented as a vehicle for implementing concepts of artificial intelligence.

Prerequisite(s): COMP 280

MATH 351
Corequisite(s): none