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Institution:
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Clemson University
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Subject:
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Computer Science
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Description:
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This course presents fundamental concepts in Artificial Intelligence. Specific topics include uninformed and informed search techniques, game playing, Markov decision processes, reinforcement learning, uncertain knowledge and probabilistic reasoning, constraint satisfaction problems, and supervised learning. Students must be familiar with principles of probability and statistics and must have programming experience when enrolling in this course.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(864) 656-4636
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Regional Accreditation:
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Southern Association of Colleges and Schools
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Calendar System:
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Semester
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