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INTRODUCTION TO ARTIFICIAL INTELLIGENCE

COMPSCI 540
Course Description

Principles of knowledge-based search techniques, automatic deduction, knowledge representation using predicate logic, machine learning, probabilistic reasoning. Applications in tasks such as problem solving, data mining, game playing, natural language understanding, computer vision, speech recognition, and robotics.

Prerequisites

(COMPSCI 300 , COMPSCI 320 or 367) and (MATH 211 , 217, MATH 221 , or 275) or graduate/professional standing or declared in the Capstone Certificate in Computer Sciences for Professionals

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.53

9.61% from Historical

Completion Rate
99.46%

3.23% from Historical

A Rate
45.14%

29.97% from Historical

Class Size
556

135.76% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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