Computer Science 140 - Artificial Intelligence

Institution:

University of California-Santa Cruz

Subject:

Description:

Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, machine learning, optimization problems, computational methods and models of search, game playing and theorem proving. Emphasis may be on any formal method of perceiving, learning, reasoning, and problem solving which proves to be effective. This includes both symbolic and neural network approaches to artificial intelligence. Issues discussed include symbolic versus nonsymbolic methods, local versus global methods, hierarchical organization and control, and brain modeling versus engineering approaches. Lisp or Prolog may be introduced. Involves one major project or regular programming assignments. Prerequisite(s): course 101 and one of the following: course 130, Computer Engineering 177, or Mathematics 115. I. Pohl, R. Levinson

Credits:

1.25

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.ucsc.edu/

Phone Number:

(831) 459-0111

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Quarter

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