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Avis et commentaires pour d'étudiants pour Optimization for Decision Making par Université du Minnesota

17 évaluations

À propos du cours

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....

Meilleurs avis


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.


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 sur 6 Avis pour Optimization for Decision Making

par Chananthorn S

15 sept. 2021

par CHIN W L

16 mai 2021

par J H

1 juin 2021

par Noaman R

18 sept. 2021

par jain m

16 juil. 2021

par carl w

16 avr. 2021