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Institution:
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University of Michigan-Ann Arbor
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Subject:
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Description:
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This course introduces some basic techniques or operations research used in decision making and system performance evaluation in both deterministic and probabilistic environments. Topics in linear programming, especially the simplex method with duality theory and sensitivity analysis is included. Other topics include integer programming, deterministic dynamic programming, network problems, PERT-CPM, discrete-time and continuous-time Markov chain models of random processes, queuing theory and applications. (YR) 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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Credits:
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4.00
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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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(734) 764-1817
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Regional Accreditation:
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North Central Association of Colleges and Schools
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Calendar System:
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Trimester
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