Print Schedule
CS 330 -- Schedule (fall2026)
Tentative - subject to change as course progresses
| Date |
Description |
Weeks |
| 9/8/2026, 9/10/2026 | Introduction and machine learning basics, learning Python I | Week 1 |
| 9/15/2026, 9/17/2026 | Learning Python II, wrap-up and Lab 1 | Week 2 |
| 9/22/2026, 9/24/2026 | Quiz 1 on Python programming. Machine Learning basics and Probablistic theory and Naive Bayesian algorithm | Week 3 |
| 9/29/2026, 10/1/2026 | Quiz 2, review homework and labs. Lab 2 | Week 4 |
| 10/6/2026, 10/8/2026 | Model-based application; Lab 03 for data processing and Github. Course project | Week 5 |
| 10/13/2026, 10/15/2026 | Bayesian network learning, EM algorithm; Literature review and course project | Week 6 |
| 10/20/2026, 10/22/2026 | Decision tree; Lab 4 for decision tree | Week 7 |
| 10/27/2026, 10/29/2026 | Catch up | Week 8 |
| 11/3/2026, 11/5/2026 | Catch up day for Literature Review, and literature review presentation | Week 9 |
| 11/10/2026, 11/12/2026 | Literature review presentation and Logistic and Linear regression | Week 10 |
| 11/17/2026, 11/19/2026 | Practical machine learning and Introduction to Neural Network | Week 11 |
| 11/24/2026, 11/26/2026(Thanksgiving break) | Quiz 4, Deep learning, recurrent neural network, Support Vector Machine, Clustering | Week 12 |
| 12/1/2026, 12/3/2026 | Ethics in AI, and other selected topic(possible:reinforcement learning, genetic algorithm) | Week 13 |
| 12/8/2026, 12/10/2026 | Catch up | Week 14 |
| 12/15/2026, 12/17/2026 | Final project presentation | Week 15 |
| Final exam week | Monday, December, 8th 3:45 p.m. - 5:45 p.m. | Week 16 |
