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Detailed Course Information

 

Date
Apr 23, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

CSC 660 - Art.Intellig.:Princip.&Techniq
The course covers computational approaches for modeling uncertainty and solving decision problems. Topics include search techniques, constraint satisfaction problems, game playing (including alpha-beta pruning), propositional logic, predicate logic, knowledge representation, planning, probabilistic reasoning, Bayesian networks and case-based reasoning. It also covers advanced topics in Artificial Intelligence such as natural language processing and robotics. [3-0, 3 cr.]
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Tutorial

Computer Science & Mathematics Division
Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
May not be enrolled in one of the following Degrees:     
      Executive MBA

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