INFO550

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INFO550 - Artificial Intelligence

School of Information Graduate UA - UA General

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). Graduate-level requirements include additional reading of supplementary material, more rigorous tests and homework assignments, and a more sophisticated course project.sophisticated application and technique.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Course Attributes

GIDP - COGS (Cognitive Science)

May be convened with

ISTA450

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Fall