• Classroom
Course Description

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.

Learning Objectives

  • 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.

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.