Optimization Modelling

3 credits · Graduate

Managers and business leaders should be constantly seeking ways to optimize resources and efficiencies; minimize risks, costs and waste; and thereby maximize both their organization’s as well as their own professional and personal success. With these same goals in mind, this course will show how optimization can be used to guide managerial decisions or inform best policies in many different situations and business analytics applications. Several case studies or examples will come from finance, management, marketing, operations and production, or supply chain sustainability, and will be chosen to cover a wide spectrum of modeling dichotomies including linear vs. nonlinear, discrete vs. continuous, static vs. dynamic, and deterministic vs. stochastic.