Probability review, reliability, queueing theory, inventory systems, Markov chain models and Markov decision processes, and discrete-event simulation are covered. Studies omputer simulation as a scientific methodology in operations analysis, with emphasis on model development, implementation, and analysis of results. Discrete-event models, specialized languages, experimental design and output statistics are covered. The capstone course for both the master's program in operations research, and the certificate in computational modeling. Focuses on model development and implementation involved in the practice of operational modeling.
Work includes project proposal, planning, completion, documentation and presentation.
Discusses numerical methods for such problems as regression, analysis of variance, nonlinear equations, differential and difference equations, and nonlinear optimization. Applications in statistics and engineering are emphasized. Examines a wide variety of case studies illustrating data-driven model building and statistical analysis. Various methods of data management and presentation, statistical analysis, and report writing are compared. Exercises and games are used to demonstrate the value of properly developed modules in combat simulation.