Computational Thinking in 15.053, Optimization Methods in Business Analytics

Principal Investigator
Prof. James Orlin, Sloan School of Management
Fund: d'Arbeloff Fund
Funding Period: AY2018
Department/Lab/Center: Sloan School of Management

This project concerns enhancements to 15.053 Optimization Methods in Business Analytics. This project has five objectives: to increase the focus on computational thinking as a fundamental aspect of the course, move much of the lecture part of the course to edX studio so that the lectures can use blended learning, develop a collection of online exercises (using edX Studio) so that students can make sure that they are understanding basic concepts correctly, develop many additional Excel spreadsheets for optimization as well as Jupyter notebooks using Julia and JuMP for optimization, and develop extensive supporting materials so that interested students can learn additional topics in optimization beyond what is taught in the course.