CSCE 439: Data Analytics for Cybersecurity

Computer Science & Engineering Texas A & M University-College Station 3.0 credits

Course Description

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 inCSCE 221; grade of C or better inECEN 303,STAT 211,STAT 301,STAT 302, orSTAT 303.

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