This course teaches students to use optimization and decision models to recommend data-driven courses of action. The course topics include: Optimization techniques (linear programming, decision trees) to identify best solutions; Simulation techniques (Monte Carlo simulation) to explore potential relationships using hypothetical data; and Application of prescriptive analytics techniques (resource allocation, pricing, supply chain optimization) to recommend courses of action.
Required Prerequisite Courses