Advanced Analytics and Reporting

Catalog description

The student is introduced to deterministic and stochastic decision tools used by leading corporations and applied researchers. The student utilizes these tools to solve complex, real-world problems, building on the basic theoretical understanding of optimization, simulation and predictive modeling obtained in prerequisite courses. The student works with commercial decision modeling programs such as Premium Solver professional (linear, integer and non-linear optimization), TreePlan (decision-trees), Crystal Ball (simulation), and OptQuest (optimization under uncertainty). Throughout the course, the importance of outside-the-model considerations, model limitations, and sources of modeling error are stressed while general frameworks for approaching particular problem types are developed.