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Вернуться к Optimization for Decision Making

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

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....

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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.


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.