Skip to content Skip to navigation

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 (M.S.)
B (Ph.D.)
Semesters: 
Fall, and Spring
Teaching Professors Names: 
Kostas Bekris
Casimir Kulikowski
Louis Steinberg
Matthew Stone