CST 211 - Artificial Intelligence

This course explores AI’s historical roots in philosophy and psychology using AI research tools, including predicate calculus, search algorithms, heuristics, stochastic methods, and software architectures. Students will study knowledge representation schemes and reasoning approaches, such as rule-based, case-based, and model-based reasoning. Advanced models for reasoning under uncertainty and machine learning techniques like neural networks and genetic algorithms are included. Practical applications in automated reasoning, natural language understanding, and programming in LISP and PROLOG will be emphasized.
Prerequisite(s): ENG 097, MAT 144 or MAT 155, CST 206, and CST 161 or Division Approval.
2 lecture hours and 2 laboratory hours per week
3 credit hours