| Topic |
| Session 1 | Python review |
| Session 2 | Numpy, pandas, matplotlib |
| Session 3 | Regression |
| Session 4 | Classification basics 1 |
| Session 5 | Classification basics 2 |
| Session 6 | Clustering |
| Sesson 7 | Ensemble learning |
| Session 8 | Kernel method |
| Session 9 | Bayesian inference |
| Session 10 | Image classification 1 |
| Session 11 | Image classification 2 |
| Session 12 | Language processing |
| session 13 | Comprehensive exercise (competition task) 1 |
| Session 14 | Comprehensive exercise (competition task) 2 |
**This content is based on April 1, 2025. For the latest syllabus information and details, please check the