返回到 Advanced Models for Decision Making
學生對 明尼苏达大学 提供的 Advanced Models for Decision Making 的評價和反饋
36 個評分
課程概述
Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to formulate a solution. This course is designed to connect data and models to real world decision-making scenarios in manufacturing, supply chain, finance, human resource management, etc. In particular, we understand how linear optimization - a prescriptive analytics method - can be used to formulate decision problems and provide data-based optimal solutions. Throughout this course we will work on applied problems in different industries, such as:
(a) Finance Decisions: How should an investment manager create an optimal portfolio that maximizes net returns while not taking too much risks across various investments?
(b) Production Decisions: Given projected demand, supply of raw materials, and transportation costs, what would be the optimal volume of products to manufacture at different plant locations?
(c) HR Decisions: How many workers need to be hired or terminated over a planning horizon to minimize cost while meeting operational needs of a company?
(c) Manufacturing: What would be the profit maximizing product mix that should be produced, given the raw material availability and customer demand?
We will learn how to formulate these problems as mathematical models and solve them using Excel spreadsheet.
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NR
2021年9月18日
The concepts are explained well. The lectures are very detail oriented. I just wish there were more examples to follow.
JH
2021年6月2日
All of the courses in this series are very practical based and give a lot of practice in using the tools.
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1 - Advanced Models for Decision Making 的 6 個評論（共 6 個）
創建者 Noaman R
•2021年9月19日
創建者 J H
•2021年6月3日
創建者 Chow K M
•2021年10月8日
創建者 CHIN W L
•2021年5月19日
創建者 Zhengyi X
•2022年3月27日
創建者 Mohammad S
•2022年1月21日
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