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INDE 546See offeringsHas prerequisites

Computational Prescriptive Analytics

CT Score
1500
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INDE 545 Description: A continuation of INDE 545 that focuses on computational approaches to prescriptive analytics. Topics include decomposition approaches to large-scale optimization, modeling languages, decision analysis and discrete-even simulation software. Emphasis will be placed on using relevant software on practical problems. Instructor Permission Required. Graduate/Undergraduate Equivalency: CMOR 442 . Mutually Exclusive: Cannot register for INDE 546 if student has credit for CAAM 476INDE 546unlocks 1 courses

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