Informatics and Engineering Systems Faculty Publications and Presentations
Document Type
Conference Proceeding
Publication Date
6-2025
Abstract
As our newly designed degree in Cybersecurity enters its fourth year, students in the program are starting to take courses beyond the basic ones, including senior courses, technical electives, and capstone projects. While Cybersecurity is at the heart of our degree that addresses the national need for cybersecurity specialists, how we approach the education and pedagogy of cybersecurity in the era of Big Data and AI/ML (Artificial Intelligence/Machine Learning) is a question that we are addressing in real-time as techniques and measures and countermeasures of cybersecurity attacks keep evolving and taking advantages of the rapid advancements in computing, memory, storage, networking, and virtualization technologies.
Educational modules with hands-on labs are available at different junctions to give students in the program multiple chances to incorporate the latest techniques in AI/ML into their degree. Whether it is advising and orientation sessions, faculty-led seminars, student-club workshops, technical electives, or capstone projects, custom-tailored material has been created specifically for our cybersecurity students. This paper presents our systematic efforts to pervade the curriculum with a hands-on, immersive approach to integrating AI/ML.
Recommended Citation
Quweider, Mahmoud K., Liyu Zhang, Jorge Castillo, and Ala Qubbaj. "The Weaving of Machine Learning and Artificial Intelligence into the Fabric of Cybersecurity Curriculum: From Degree Plan to Capstone Projects." In 2025 ASEE Annual Conference & Exposition. 2025. https://doi.org/10.18260/1-2--57279
DOI
10.18260/1-2--57279
Comments
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