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Institution:
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Clemson University
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Subject:
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Mathematical Sciences
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Description:
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Introductory treatment of stochastic processes, finite-state Markov chains, queueing, dynamic programming, Markov decision processes, reliability, decision analysis, and simulation. Both theory and applications are stressed. Students are expected to have completed a Theory of Probability course before 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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