IEGR 462 - Artificial Intelligence: Principles and Techniques

3 Credits
Four lecture hours. Four lab hours.

Foundational principles that drive complex real-world problems applications and practice implementing some of the web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling systems. The goal of Artificial intelligence (AI) is to tackle these with rigorous mathematical tools. Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, and logic.

Prerequisite(s) IEGR 304 and IEGR 461. Student must pass each class with a grade of C or better.
Offered (OFFERED AS NEEDED)