CYBR 363 - Artificial Intelligence for Cybersecurity

Introduction to fundamental knowledge in applying AI and ML techniques to real-world datasets. Students are introduces to supervised and unsupervised learning models, applications to internet traffic and anomaly detection, and ethics, fairness, and bias in data-drive cybersecurity.

Credit Hours: 3

Prerequisite Courses: CSC 231 with a C or better or CYBR 251 with a C or better and STT 215 or BAN 280
Course Repeatability: Course may not be repeated.