Theoretical foundations, algorithms and methods of data analytics for cybersecurity; study of data analytics including cluster analysis, supervised machine learning, anomaly detection, and visualization applied to cyber attacks, anomaly detection, vulnerability analysis, strategic manipulation, propaganda and other topics. Prerequisites: Grade of C or better in CSCE 221; grade of C or better in ECEN 303, STAT 211, STAT 301, STAT 302, or STAT 303 Credits 3. 3 Lecture Hours.
Theoretical foundations, algorithms and methods of data analytics for cybersecurity; study of data analytics including cluster analysis, supervised machine learning, anomaly detection, and visualization applied to cyber attacks, anomaly detection, vulnerability analysis, strategic manipulation, propaganda and other topics. Prerequisites: Grade of C or better in CSCE 221; grade of C or better in ECEN 303, STAT 211, STAT 301, STAT 302, or STAT 303 Credits 3. 3 Lecture Hours.
