CS 5100 Artificial Intelligence

A study of classical Artificial Intelligence (AI), leading to modern Adaptive AI (Computational Intelligence), and Generative AI, using methodologies such as knowledge representation, search strategies, inference systems, logic programming, list processing, probabilistic models, machine learning, neural nets, and natural language processing. Exercises in programming will use current languages like Python and classical AI ones like Prolog and Lisp. Recent tools such as ChatGPT and its variants will be explored, experimented with, appreciated, and contrasted at rudimentary levels.

Prerequisite(s): A course in Data Structures and a course in Statistics and/or Probability with grades of C- or better.
Credits: 3.0