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.
Credit Hours Min
3
Instr. Method Load
2
Contact Hours
2
Name
Classroom Hours
Instr. Method Load
3
Contact Hours
3
Name
Lab/Shop Hours