University of Minnesota

Optimization for Decision Making

This course is part of Analytics for Decision Making Specialization

Taught in English

Some content may not be translated

Soumya Sen

Instructor: Soumya Sen

5,432 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(57 reviews)

Beginner level

Recommended experience

13 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

8 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(57 reviews)

Beginner level

Recommended experience

13 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

Prescriptive analytics is a part of business analytics that is aimed at prescribing solutions to decision problems. The most important modeling technique within prescriptive analytics is optimization. In this module, we will learn how to recognize contexts where it can be applied and get introduced to the basics of linear optimization.

What's included

11 videos1 reading2 quizzes1 discussion prompt

In order to solve linear optimization problems (i.e., linear programs), we can use graphical methods for basic example problems. For higher dimensional problems, we will use tools like Excel Solver later in the course. The benefit of using graphical methods is that it gives us an intuition into how these problems can be solved.

What's included

8 videos2 quizzes

In this module we will explore what happens when the model parameters are changed. We will also look at special cases of linear optimization problems.

What's included

7 videos2 quizzes

Having learned how to formulate linear optimization problem and the graphical methods for solving them, we are now going to start solving larger problems using Excel Solver. This module provides an overview of how to set up and solve these decision problems using Excel.

What's included

13 videos2 readings2 quizzes

Instructor

Instructor ratings
4.9 (20 ratings)
Soumya Sen
University of Minnesota
3 Courses34,330 learners

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4.8

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