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CS 330 -- Schedule (spring2025)
Tentative - subject to change as course progresses
| Date |
Description |
Weeks |
| 2/6/2025 | Introduction and machine learning basics, learning Python I | Week 1 |
| 2/11/2025, 2/13/2025 | Learning Python II, wrap-up and Lab 1 | Week 2 |
| 2/18/2025, 2/20/2025 | Quiz 1 on Python programming. Machine Learning basics and Probablistic theory and Naive Bayesian algorithm | Week 3 |
| 2/25/2025, 2/27/2025 | Quiz 2, review homework and labs. Lab 2 | Week 4 |
| 3/4/2025, 3/6/2025 | Model-based application; Lab 03 for data processing and Github. Course project | Week 5 |
| 3/11/2025, 3/13/2025 | Bayesian network learning, EM algorithm; Literature review and course project | Week 6 |
| 3/18/2025, 3/20/2025 | Decision tree; Lab 4 for decision tree | Week 7 |
| 3/25/2025, 3/27/2025 (Spring break, no class) | Spring Break | Week 8 |
| 4/1/2025, 4/3/2025 | Catch up day for Literature Review, and literature review presentation | Week 9 |
| 4/8/2025, 4/10/2025 | Literature review presentation and Logistic and Linear regression | Week 10 |
| 4/15/2025, 4/17/2025 | Practical machine learning and Introduction to Neural Network | Week 11 |
| 4/22/2025, 4/24/2025 | Quiz 4, Deep learning, recurrent neural network, Support Vector Machine, Clustering | Week 12 |
| 4/29/2025, 5/1/2025 | Ethics in AI, and other selected topic(possible:reinforcement learning, genetic algorithm) | Week 13 |
| 5/6/2025, 5/8/2025 | Catch up | Week 14 |
| 5/13/2025, 5/15/2025 | Final project presentation | Week 15 |
| Final exam week | Tuesday, May 20th, 15:30 p.m. - 17:30 p.m. | Week 16 |
