University of Minnesota

Advanced Models for Decision Making

Soumya Sen

Instructor: Soumya Sen

6,177 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.8

(49 reviews)

Beginner level

Recommended experience

13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.8

(49 reviews)

Beginner level

Recommended experience

13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

8 assignments

Taught in English

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This course is part of the Analytics for Decision Making Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

In this module we will look at examples illustrating the application of linear optimization in finance. In particular, we will learn to formulate problems in investment portfolio optimization and multi-period cash flow management.

What's included

14 videos1 reading2 assignments

This module explores the use of linear optimization in supply chain decisions, particularly in the context of inventory transportation or logistics problems as well as in production and inventory management.

What's included

10 videos2 assignments

This module explores how human resource managers can use optimization as a prescriptive analytics tool to plan staff schedules, room allocation, and workforce size management.

What's included

11 videos1 reading2 assignments

Linear optimization plays an important role in the decision making process in the manufacturing sector. This module explores how optimization can be used to prescribe product mix and blending decisions.

What's included

11 videos3 readings2 assignments1 discussion prompt

Instructor

Instructor ratings
4.9 (9 ratings)
Soumya Sen
University of Minnesota
3 Courses39,657 learners

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4.8

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