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Introduction To Artificial Intelligence

16:198:520

Overview of artificial intelligence. Basic problems and methods; deductive inference, declarative programming, heuristic search; reasoning and representation in perception, planning, and learning.

This course is a pre-requisite for several machine learning and AI courses.

Credits for this course can not be combined with 440. Students cannot get credit for both courses counting towards their MS/Ph.D. degrees.

Credits: 
3
Category: 
B
Professor: 
Kostas Bekris
Casimir Kulikowski
Louis Steinberg
Matthew Stone
Semester: 
Fall
Spring
Course Type: 
Graduate

Check the University Schedule of Classes to see if this course is open.

Request a Special Permission Number here if the class is full.