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学生对 明尼苏达大学 提供的 Optimization for Decision Making 的评价和反馈

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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....



May 15, 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.


May 31, 2021

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


1 - Optimization for Decision Making 的 6 个评论(共 6 个)

创建者 Chananthorn S

Sep 15, 2021

创建者 CHIN W L

May 16, 2021

创建者 J H

Jun 1, 2021

创建者 Noaman R

Sep 18, 2021

创建者 jain m

Jul 16, 2021

创建者 carl w

Apr 16, 2021