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Bewertung und Feedback des Lernenden für Optimization for Decision Making von University of Minnesota

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Über den Kurs

In this data-driven world, companies are often interested in knowing what is the "best" course of action, given the data. For example, manufacturers need to decide how many units of a product to produce given the estimated demand and raw material availability? Should they make all the products in-house or buy some from a third-party to meet the demand? Prescriptive Analytics is the branch of analytics that can provide answers to these questions. It is used for prescribing data-based decisions. The most important method in the prescriptive analytics toolbox is optimization. This course will introduce students to the basic principles of linear optimization for decision-making. Using practical examples, this course teaches how to convert a problem scenario into a mathematical model that can be solved to get the best business outcome. We will learn to identify decision variables, objective function, and constraints of a problem, and use them to formulate and solve an optimization problem using Excel solver and spreadsheet....

Top-Bewertungen

CL

15. Mai 2021

Good teaching style with step by step guidance. Thanks for the connecting high school math (that I learned many years ago) to real life context. I look forward to the next course.

JH

31. Mai 2021

There are a lot of examples to work through and learn from which I find helps make the material easier to learn.

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1 - 6 von 6 Bewertungen für Optimization for Decision Making

von Chananthorn S

15. Sep. 2021

von CHIN W L

16. Mai 2021

von J H

1. Juni 2021

von Noaman R

18. Sep. 2021

von jain m

16. Juli 2021

von carl w

16. Apr. 2021