2 credits
Spring 2026 Lecture Upper Division
The course emphasizes applications of optimization through cases and computer exercises. The applications are chosen to provide insights into business and economics. Areas covered include linear, network, integer, and nonlinear optimization. At the end of the course, the students should have the ability to model optimization problems work with software to solve optimization problems relate to optimization theory in a variety of application settings develop optimization insights into applications in marketing, finance, and operations and get some basic exposure to EXCEL automation. Prerequisites: Students are expected to have taken a basic MBA (core) course in business analytics (such as the masters core MGMT 67000).
Learning Outcomes1Train the students to write mathematical formulations of business problems and use solvers in excel spreadsheets to solve the problems. It requires critical thinking via the presentation of case assignments.
Restrictions
made by Purdue students.