CSE473: Introduction to Artificial Intelligence

Credits

Catalog description

Principal ideas and developments in artificial intelligence: theorem proving, problem-solving methods, representation of knowledge, natural language analysis and synthesis, programming languages for artificial intelligence. Not open for credit to students who have completed 415.

Prerequisites

CSE 326; recommended: CSE 341.

Textbook(s) and/or other required material

S. Russell & P. Norvig, "Artificial Intelligence: A Modern Approach", Prentice Hall, 1995. S. Tanimoto, "Introduction to Python for Artificial Intelligence"

Course objectives

Mastery of the fundamental concepts and techniques of artificial intelligence.

Topics covered

Problem solving and search Knowledge representation and reasoning Reasoning under uncertainty Machine learning Planning

Course structure

Three 50-minute lectures/week.

Last edited by

tanimoto

Last modified

05:15pm 13 Apr 2007

Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
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