Course Description:
Knowledge representation; knowledge engineering; reasoning; parallel and distributed AI; connectionist models; machine learning and intelligent databases; implementation of systems in high-level AI languages.Prerequisite:
C or higher in CS 3358: Data Structures
Course Objectives:
1. Artificial Intelligence (AI) has grown from a small scale laboratory science into a technological and industrial success. We now possess an arsenal of techniques for creating intelligent systems that control manufacturing processes, diagnose computer and other equipment faults and human diseases, design machines, underwrite insurance, play grandmaster-level chess, and so on. The objective of this course is to provide an introduction to the problems and to study solutions through techniques of Artificial Intelligence.
Course Notes:
None.
Section Info:
Lecture/Lab Hours: 3 hours lecture, 0 hours lab
Offered: Frequently (typically Fall).