Managerial Decision Modelling

Catalog description

This course explores advanced forecasting, simulation, and optimization techniques to support managerial decision-making across various business functions. Students will develop predictive and simulation models using AI-powered tools to address challenges in operations, marketing, and finance. Topics include time-series forecasting methods (e.g., ARIMA, machine learning-based approaches), Monte Carlo simulations, and discrete-event modeling. The course emphasizes practical applications of AI in decision modeling, through hands-on projects using Python and @Risk, to deliver impactful business solutions. Prerequisite Course(s): Prerequisites: DTSC 501/MIST 725 and QANT 620