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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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To continue from DS 300, during the first half of the course, the study of the concepts and methods in data analysis and statistical inference, as well as to introduce, in the second half of the course, basic linear optimization methods and models applied in the formulation, quantification, analysis, and solution of management decision problems. Topics include: simple and multiple linear regression, analysis of variance, sampling, correlation, formulation and solution of linear programming problems, transportation and transshipment models, utilization of software packages for statistical analysis and optimization. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Management Studies Department Course Attributes: Upper Division
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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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(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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