Learn the basics of Monte Carlo and discrete-event simulation, how to identify real-world problem types appropriate for simulation, and develop skills and intuition for applying Monte Carlo and discrete-event simulation techniques.
- Become familiar with commonly-used techniques in simulation, such as random number and variate generation, input modeling, events and event types, run-length issues, autocorrelated output, and presentation of simulation results;
- Ability to identify problems from their specific domains suitable for simulation, and correctly approach the modeling of those problems, including identification of simulation goals and necessary real-world data;
- Understand how to implement and execute Monte Carlo and discrete-event simulation models and correctly interpret and present the results.
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.