MIS555
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MIS555 - Artificial Intelligence for Cybersecurity
Course Description
This graduate level course is designed to provide students with a hands-on introduction to the fundamental concepts and tools of artificial intelligence and its application in cybersecurity. Students will become familiar with the fundamentals of AI, Deep Learning, Transformers, Large Language Models, and Reinforcement Learning. Students will learn how to apply these AI techniques to create novel, high-impact cybersecurity research. In addition to AI research knowledge, this course will deliver cutting edge research examples of the application of AI in several cybersecurity domains. These domains include Dark Web Analytics, Smart Vulnerability Assessment, Privacy Analytics, and Adversarial Malware Generation and Defense. Students will gain significant experiences in implementing and evaluating AI by creating a novel AI research project and paper utilizing the aforementioned AI techniques.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Requisites
Technical knowledge: DBMS (SQL), Python, Data and Web Mining principles
Non-Technical knowledge: Capability, aspiration, and positive attitude for learning. Strong work ethic. Willingness and ability to self-teach and learn new technologies.
Non-Technical knowledge: Capability, aspiration, and positive attitude for learning. Strong work ethic. Willingness and ability to self-teach and learn new technologies.
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Fall
Typically Offered Distance Campus
Not Offered
Typically Offered Online Campus
Fall
Typically Offered Phoenix Campus
Not Offered
Typically Offered Sierra Vista Campus
Not Offered
Typically Offered Community Campus
Not Offered