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Voltar para Optimization for Decision Making

Comentários e feedback de alunos de Optimization for Decision Making da instituição Universidade de MinnesotaUniversidade de Minnesota

4.7
estrelas
23 classificações

Sobre o curso

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....

Melhores avaliações

CL

15 de mai de 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 de mai de 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 de 6 Avaliações para o Optimization for Decision Making

por Chananthorn S

15 de set de 2021

por CHIN W L

16 de mai de 2021

por J H

1 de jun de 2021

por Noaman R

18 de set de 2021

por jain m

16 de jul de 2021

por carl w

16 de abr de 2021