ITCS 3153 - Introduction to Artificial Intelligence

Basic AI-related math fundamentals and AI concepts. Topics include: probability theory and information theory; basic search/problem-solving methods, such as uninformed search, informed search, adversarial search, local search, and constraint satisfaction problem; knowledge representation and reasoning, like propositional logic and inference; probabilistic reasoning such as Bayesian networks, sampling, and decision networks; sequential decision, such as Markov decision processes and reinforcement learning; and machine learning.

Credit Hours: (3)
Prerequisite(s): ITSC 2214 with grade of C or above and MATH 2112 with grade of C or above, or MATH 2164 and STAT 2122

Schedule of Classes