Optimization Methods for Business Analytics

Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization.

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Optimization Methods for Business Analytics: Learn how to use optimization methodologies and modeling approaches to effectively analyze data with this free online course from the Massachusetts Institute of Technology (MIT).

Course description – Optimization Methods for Business Analytics

Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization. Linear and integer programming will be taught both algebraically and geometrically, and then applied to problems involving data. Students will develop an understanding of algebraic formulations, and use Julia/JuMP for computation. Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus.

The recommended audience for this course is undergraduates, as well as professionals interested in using optimization software. The content in this course has applications in logistics, marketing, project management, finance, statistics and machine learning.
Most of the course material will be covered in lecture and recitation videos, and only an optional textbook, available at no cost, will be used.

What you’ll learn

  • Theoretical aspects of Linear Programming
  • Basic Julia programming
  • Proficiency with linear and nonlinear solvers

Course content

  • Linear programming
  • Geometry of linear programming
  • Integer programming I
  • Integer programming II
  • Sensitivity Analysis
  • Nonlinear programming

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Optimization Methods for Business Analytics
Optimization Methods for Business Analytics
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