CISC 450 - Security Analytics and Visualization

    Recent Professors
    Nour Hassan Ali
    Recent Semesters
    Fall 2026, Fall 2025
    Class Size
    60–65 students
    Credits
    3
    Prerequisite
    CISC 179 with a Grade of "C" or better, or equivalent
    Fall 2026 Sections
    View Fall 2026 sections of CISC 450
    Transfers To
    Not transferable
    Description
    This course is a study of the process of using data collection, aggregation, and analysis tools for security monitoring and threat detection. Emphasis is placed on essential technical knowledge used for predictive analytics and the visualization of information to detect behaviors that indicate malicious activity. Topics include predictive modeling, data analytics, machine learning, automation, and understanding data through graphical representation. This course is designed for students in the Cyber Defense and Analysis program.