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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Summer 2021 Computer Science W4701 section 001
ARTIFICIAL INTELLIGENCE

Call Number 11361
Day & Time
Location
TR 4:10pm-6:40pm
ONLINE ONLY
Points 3
Grading Mode Standard
Approvals Required None
Instructor Tony B Dear
Type LECTURE
Method of Instruction On-Line Only
Course Description Prerequisites: (COMS W3134 or COMS W3136 or COMS W3137) and any course on probability. Prior knowledge of Python is recommended. Provides a broad understanding of the basic techniques for building intelligent computer systems. Topics include state-space problem representations, problem reduction and and-or graphs, game playing and heuristic search, predicate calculus, and resolution theorem proving, AI systems and languages for knowledge representation, machine learning and concept formation and other topics such as natural language processing may be included as time permits.
Web Site Vergil
Subterm 05/03-06/14 (A)
Department Computer Science
Enrollment 237 students (240 max) as of 4:03PM Wednesday, April 21, 2021
Subject Computer Science
Number W4701
Section 001
Division Interfaculty
Campus Morningside
Section key 20212COMS4701W001

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SIS update 04/21/21 16:03    web update 04/21/21 21:24