— Decision Modeling & Optimization

Prerequisites & course information

Course Description: Learn linear, network, integer, and nonlinear optimization methods, along with decision tree approaches for managerial decision-making. Develops AI literacy by having students critique AI-generated optimization models for correctness, interpretability, and business relevance across applications in marketing, operations, finance, and strategy. Learning Activities: Lecture 2 hour(s). Credit Limitation(s): Not available for credit for students who have taken MGT 206 , MGP 206 , MGB 206 or MGV 206V . Grade Mode: Letter. Learning Activities: Lecture 2 hour(s). Credit Limitation(s): Not available for credit for students who have taken MGT 206 , MGP 206 , MGB 206 or MGV 206V . Grade Mode: Letter.