ISTA450
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ISTA450 - Artificial Intelligence
Course Description
The methods and tools of Artificial Intelligence used to provide systems with the ability to autonomously problem solve and reason with uncertain information. Topics include: problem solving (search spaces, uninformed and informed search, games, constraint satisfaction), principles of knowledge representation and reasoning (propositional and first-order logic, logical inference, planning), and representing and reasoning with uncertainty (Bayesian networks, probabilistic inference, decision theory).
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Enrollment Requirements
017262
May be convened with
INFO550
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Spring
Typically Offered Distance Campus
Not Offered
Typically Offered UA Online Campus
Not Offered
Typically Offered Phoenix Campus
Not Offered
Typically Offered South Campus
Not Offered
Typically Offered Community Campus
Not Offered