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Online Course

Optimization Methods in Business Analytics

Massachusetts Institute of Technology via edX

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Overview

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.

Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15.053 Spring 2013. The topics of the 2013 subject were optimization modeling, algorithms, and theory. As a six week subject, 15.053x covers about half of the material of the 2013 subject. The primary focus of 15.053x is optimization modeling.

Taught by

James Orlin and Khizar Qureshi

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Review for edX's Optimization Methods in Business Analytics Based on 1 reviews

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Maxime Z
by Maxime completed this course, spending 3 hours a week on it and found the course difficulty to be easy.
This is a very valuable course, taught at a fairly accessible level. It provides an easy going introduction to optimization methods, that applies far beyond business analytics.

I registered for this course because I was about to work on an engineering problem that required some optimization step. I had little familiarity with optimization methods and not much interest in business analytics. Optimization is such a generic topic that I was pretty sure I would learn something from this course. I wasn't disappointed.

The course is very clear, and it provides plenty of opp…
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