Introduction to Artificial Intelligence
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Displaying course information from Spring 2014.
|Q3||LCD||1100 - 1215||T R||1404 Siebel Center for Comp Sci||Gerald DeJong
|Q4||LCD||1100 - 1215||T R||1404 Siebel Center for Comp Sci||Gerald DeJong
|Official Description||Course Information: Same as CS 440. See CS 440.|
|Course Prerequisites||Credit in ECE 391 or CS 225|
Department of Computer Science
|Detailed Description and Outline
This course is designed to give students an overview of major results and current research directions in artificial intelligence, along with an in-depth treatment of a member of representative systems, through programming exercises and class discussions.
Same as: CS 440
||Design and implementation of LISP programs for: (1) recursive algorithms; (2) a problem solving system; (3) means-ends analysis; (4) pattern matching; (5) interactive natural language processing; (6) syntactic parsing of a natural language; (7) interactive frame-based dialog; (8) inference on a semantic network database.|
Engineering Science: 2 credits or 67%
Engineering Design: 1 credit or 33%