Syllabus: AINS6302 AI for Risk Assessment

Catalog Description

Models cyber risk using assets, likelihood, impact, vulnerability prioritization, controls, reporting, and audit evidence.

Course Structure

Each week includes readings, a lecture/slide sequence, an executable lab, and an applied deliverable. Students maintain a reproducible project record and submit work through the LMS or GitHub workflow selected by the instructor.

Weekly Schedule

Week	Topic	Essential Question	Deliverable
1	Cyber risk concepts and assets	What is at risk, and how is it valued?	Lab notebook + assignment brief
2	Threat likelihood and impact modeling	How can AI support risk estimation?	Lab notebook + assignment brief
3	Vulnerability prioritization	Which weaknesses matter most now?	Lab notebook + assignment brief
4	Scenario analysis and stress testing	How do we reason about uncertain attacks?	Lab notebook + assignment brief
5	Controls and residual risk	How do mitigations change risk?	Lab notebook + assignment brief
6	Executive reporting and risk communication	How should cyber risk be communicated to leaders?	Lab notebook + assignment brief
7	Governance, compliance, and audit	How do AI risk tools support formal obligations?	Lab notebook + assignment brief
8	Cyber risk assessment portfolio	What evidence supports risk decisions?	Lab notebook + assignment brief

Assessment

Component	Weight
Weekly labs and notebooks	30%
Applied assignments	35%
Participation and technical critique	15%
Final synthesis portfolio	20%

Graduate Expectations

Submissions must show technical reasoning, evidence awareness, clear limitations, and responsible use of AI assistance. Code and analysis should be reproducible enough for instructor review.