CSC-481 Machine Learning for Cybersecurity (3)

Machine learning for cybersecurity is the field of computer science pertaining to the protection of software, host systems, and networks using machine learning techniques. This course covers a number of important topics including a general introduction to machine learning and cybersecurity, an in-depth study of the machine learning and deep-learning techniques best suited for cybersecurity, and an examination of malware analysis and network traffic analysis. Crosslist: CSC-681. Usually Offered: spring. Prerequisite: CSC-208 and completion of Quantitative Literacy I requirement. Recommendation: CSC-447.