CS 345 - Artificial Intelligence

Credits: 3
Credit Configuration: 2+1, 3 Cr.

An introduction to the concepts and computational techniques of artificial intelligence, including both modern techniques and techniques of historical interest. Topics include symbolic, neural, and numerical representations, along with their associated tools and algorithms for machine decision-making and machine learning. The interactions between current AI applications and society will be examined. Lab exercises include learning to use AI architectures and implementing fundamental algorithms.

Prerequisite(s): CS 158 or ECE 252, and one of MATH 126, MATH 131, STAT 140, STAT 240, PSY 201, BUS 205, or CE 202.