Discrete-event models, specialized languages, experimental design and output statistics are covered. Extensive computational work is required. This course is designed to be the capstone course for both the Masters program in Operations Research and the capstone course for the certificate in computational modeling. The focus is on model development and implementation involved in the practice of operational modeling. A key activity is the completion of a major applied group project.
Work includes project proposal, planning, completion, documentation and presentation.
Application of analytic reasoning and skills to practical problems in decision making. Topics include problem structure, and analysis and solution implementation, emphasizing contemporary approach to decision analytic techniques. Numerical methods have been developed to solve mathematical problems that lack explicit closed-form solutions or have solutions that are not amenable to computer calculations. Examples include solving differential equations or computing probabilities. This course discusses numerical methods for such problems as regression, analysis of variance, nonlinear equations, differential and difference equations, and nonlinear optimization.