Artificial Intelligence Methods For Cybersecurity

This course provides engineers with an overview of the core principles of applying ar-tificial intelligence to cybersecurity. It covers approaches for predicting, detecting, and responding to cyber threats using technologies such as Bayesian networks, multi-entity Bayesian networks, search-based methods, decision making, causal learning, reinforcement learning, and others that can be applied to the security of cyber physi-cal systems. It requires familiarity with basic concepts in probability and statistics, discrete mathematics, and optimization algorithms. Programming and software de-velopment skills in languages such as Python and Java are expected, although not at an advanced level. Offered by Cyber Security Engineering. May not be repeated for credit.