Artificial Intelligence I. 3.0 Credits. Class-2.0. Clinical-0.0. Lab-3.0. Work-0.0

Catalog description

This course covers the study of intelligent agent design and rational decision making. Topics include goal-driven agents, search techniques, optimization, basic problem-solving methods, logic, knowledge-based agents, statistical and probabilistic reasoning, and the basics of machine learning. Upon completion, students should be able to demonstrate artificial intelligence design concepts.