CAP 4630 - Artificial Intelligence

Credits: 3

Course Description: This course covers fundamental concepts such as search and knowledge representation and applied work in areas such as planning, game playing, and vision. Topics included: logical reasoning, constraint satisfaction problems, graph search algorithms, Bayes rule, Bayesian networks, multi-agent system, neural networks, decision trees, and natural language processing.
Prerequisites: (STA 2023 - Statistics 1 or STA 3032 Probability and Statistics) and (COP 3530 - Data Structures & Algorithms or COP 3415 - Data Structures)