Lecture Notes
Per-week lecture notes — objectives, session summaries, and the week’s lab and
quiz focus. These pages live inside this site, so they are covered by the same
login as the rest of the course. Detailed slides are filled in over the term
with the lecture-builder skill.
- Week 1: Welcome to Cybersecurity Notes
- Week 2: Data, the Fuel of AI Notes
- Week 3: Supervised Learning: Teaching with Labels Notes
- Week 4: Regression and Model Evaluation Notes
- Week 5: Unsupervised Learning and Exam 1 Notes
- Week 6: Unsupervised Learning: Finding Hidden Patterns Notes
- Week 7: Semi-Supervised and Reinforcement Learning Notes
- Week 8: Threats from the Inside: How Attackers Use AI Notes
- Week 9: Spring Break and Exam 2 Notes
- Week 10: Adversarial Examples and Data Poisoning Notes
- Week 11: Prompt Injection and LLM Security Notes
- Week 12: AI Ethics, Bias, Fairness, and Governance Notes
- Week 13: Privacy in ML Pipelines and Trade-Offs, plus Exam 3 Notes
- Week 14: Trustworthy AI and Responsible AI in Practice Notes
- Week 15: Advanced Topics and Course Wrap-Up Notes
- Week 16: Final Q&A and Exam Preparation Notes
- Week 17: Final Exam Week Notes