Western Governors University 4 credits Information Security
Mathematics for AI Security provides the mathematical foundation required to understand, evaluate, and reason about AI-enabled systems in cybersecurity contexts. The course integrates linear algebra, optimization, Bayesian reasoning, and information theory to examine how machine learning systems represent data, learn from information, and make decisions under uncertainty. Through Python-based analysis of security-relevant datasets, students apply mathematical concepts to evaluate model behavior, assess risk, and interpret system performance. The course prepares students for advanced study in machine learning, deep learning, and AI security.
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