- Course Number: 16:198:520
- Course Type: Graduate
- Semester 1: Fall
- Semester 2: Spring
- Credits: 3
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.
- M.S. Course Category: AI/Machine Learning
- Category: B (M.S.), B (Ph.D.)