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Вернуться к Optimization for Decision Making

Отзывы учащихся о курсе Optimization for Decision Making от партнера Миннесотский университет

4.7
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Оценки: 23

О курсе

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....

Лучшие рецензии

CL

15 мая 2021 г.

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 мая 2021 г.

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 из 6 отзывов о курсе Optimization for Decision Making

автор: Chananthorn S

15 сент. 2021 г.

автор: CHIN W L

16 мая 2021 г.

автор: J H

1 июня 2021 г.

автор: Noaman R

18 сент. 2021 г.

автор: jain m

16 июля 2021 г.

автор: carl w

16 апр. 2021 г.