Schedule
The semester runs for 15 weeks. Materials for each week will be released as the semester progresses. Dates below follow the current lecture order, including the Monday replacement classes. All dates are in 2026. Weeks marked Coming Soon do not have published materials yet.
Week types: Lecture Lab Practical Project Exam
| Week | Topic | Type | Materials | Status | Date |
|---|---|---|---|---|---|
| 1 | Course Introduction and Overview of Applied Artificial Intelligence | Lecture | Notes, Slides | Available | |
| 2 | Machine Learning Strategy and Best Practices | Lecture | Notes, Slides | Available | |
| 3 | Deep Learning for Structured and Engineering Data | Lecture | Notes, Slides | Available | |
| 4 | Time-Series Forecasting and Anomaly Detection | Lecture | Notes, Slides | Available | |
| 5 | Practical Applications of Deep Learning | Practical | Papers | Available | |
| 6 | Practical Applications of Time-Series and Anomaly Detection | Practical | Papers | Available | |
| 7 | AI Project Proposal and Planning | Project | Guidelines | Available | |
| 8 | Midterm Examination | Exam | Guidelines | Available | |
| 9 | Hands-on Deep Learning | Lab | Lab | Available | |
| 10 | Hands-on Deep Learning II | Lab | Lab | Available | |
| 11 | Active Learning and Data-Efficient Artificial Intelligence | Lecture | TBD | Coming Soon | |
| 12 | Practical Applications of Generative Modeling | Practical | TBD | Coming Soon | |
| 13 | Practical Applications of Data-Efficient Artificial Intelligence | Practical | TBD | Coming Soon | |
| 14 | Final Project Presentation and Demonstration | Project | Guidelines | Available | |
| 15 | Final Examination | Exam | TBD | To be announced |
Key milestones
- Week 7 (October 14): AI project proposal and planning
- Week 8 (October 21): Midterm examination
- Week 14 (December 2): Final project presentation and demonstration
- Week 15 (December 9): Final examination