• Classroom

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 NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Threat Analysis

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

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