An introduction to the use of probabilistic methods for quantifying cyber risk. Includes Bayesian and Monte Carlo methods, an introduction to the risk analysis process, and hands-on work with mathematical models and vulnerability analysis.
Learning Objectives
The course aims to teach students how to use probabilistic methods and quantitative analysis to protect systems by incorporating cyber operations, resilience, risk assessment, and information assurance. Students will conduct risk analyses that include vulnerability and attack techniques to develop recommendations for enhancing system design and protections. Additionally, the course will focus on developing risk analysis findings and recommendations that comply with cyber law, ethics, governance, and policy. Students will also learn to educate stakeholders on the analytical methods, results, and recommendations.
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):
Feedback
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