Cyber Risk Analysis and Advanced Tools. 3 credits

Catalog description

This course addresses cybersecurity risk analysis from the standpoint of systems engineers. It introduces core principles for modeling and measuring uncertainty and risk in the secure development lifecycle and risk. Topics include but are not limited to risk analysis, quantitative and qualitative methods for cybersecurity, risk models and frameworks, and support tools (Bayesian, Shafer-Dempster, and Fuzzy systems for probabilistic reasoning). The course also covers distinct technologies for assessing system vulnerabilities, measuring and modeling risk, reducing uncertainty in risk management, and applying engineering concepts to cybersecurity. The target audience consists of engineers who want to expand their skill sets to better align with the demands of current cybersecurity jobs and those who intend to work on cybersecurity research. It requires a consolidated skill, at least in one programming language (such as Java, C++, Python). Offered by Cyber Security Engineering . May not be repeated for credit.