MIS555

043484

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.

GRD - Regular Grades A, B, C, D, E

Graduate

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.