BAN495 Business Analytics Modeling: Optimization and Simulation

This course builds decision-making skill through management-science modeling. Students frame business problems, express them mathematically, and implement solutions using spreadsheet-based optimization, decision analysis, and Monte Carlo simulation. Coverage includes linear and integer formulations, sensitivity and scenario analysis, risk models, and effective technical reporting. The course also introduces machine-learning model tuning at a conceptual level to compare when optimization, simulation, or ML/AI methods are appropriate. An integrated “E-City” case synthesizes methods into actionable recommendations.

Prerequisites: BAN485