Labs

Twelve hands-on, guided Python labs in Google Colab (35% of your grade), released Mondays in Weeks 1–8 and 10–13. You build and evaluate beginner ML models and security applications. Each lab is worth 50 points. Work individually or in groups of 2; submit the completed .ipynb notebook in Canvas.

🔒 Labs are locked until released. Each lab's starter notebook link goes live only when the instructor or a TA unlocks it. Late labs: 10% penalty per day, up to 48 hours.

🔒 Lab 1: Hello, Colab · Week 1 Locked
🔒 Lab 2: Exploring Security Data · Week 2 Locked
🔒 Lab 3: Build Your First Spam Classifier · Week 3 Locked
🔒 Lab 4: Judging a Phishing URL Detector · Week 4 Locked
🔒 Lab 5: Clustering and Anomaly Detection · Week 6 Locked
🔒 Lab 6: Semi-Supervised Classification · Week 7 Locked
🔒 Lab 7: Adversarial Email Generation · Week 8 Locked
🔒 Lab 8: Adversarial Example Explorer · Week 10 Locked
🔒 Lab 9: CTF Challenge · Week 11 Locked
🔒 Lab 10: Bias Detection in Models · Week 12 Locked
🔒 Lab 11: Differential Privacy · Week 13 Locked
🔒 Lab 12: Tabletop Incident Response Exercise · Week 14 Locked

Labs are graded on (1) code correctness and successful execution, (2) code quality, and (3) interpretation of results. AI tools are not permitted; your code must be your own work.