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CS 330 -- Schedule (fall2025)
Tentative - subject to change as course progresses
Date |
Description |
Weeks |
9/2/2025, 9/4/2025 | Introduction and machine learning basics, learning Python I | Week 1 |
9/9/2025, 9/11/2025 | Learning Python II, wrap-up and Lab 1 | Week 2 |
9/16/2025, 9/18/2025 | Quiz 1 on Python programming. Machine Learning basics and Probablistic theory and Naive Bayesian algorithm | Week 3 |
9/23/2025, 9/25/2025 | Quiz 2, review homework and labs. Lab 2 | Week 4 |
9/30/2025, 10/2/2025 | Model-based application; Lab 03 for data processing and Github. Course project | Week 5 |
10/7/2025, 10/9/2025 | Bayesian network learning, EM algorithm; Literature review and course project | Week 6 |
10/14/2025, 10/16/2025 | Decision tree; Lab 4 for decision tree | Week 7 |
10/21/2025, 10/23/2025 | Logistic and Linear regression; Practical machine learning and work on Lab 4, literature review | Week 8 |
10/28/2025, 10/30/2025(Mid-term) | Literature Review presentation and course project proposal presentation on Zoom | Week 9 |
11/4/2025, 11/6/2025 | Quiz 3 and review final course project; Introduction to Neural Network; Deep learning, recurrent neural network | Week 10 |
11/11/2025, 11/13/2025 | Support Vector Machine, Clustering | Week 11 |
11/18/2025, 11/20/2025 | Quiz 4, Catch up for classes and projects. | Week 12 |
11/25/2025, 11/27/2025(Thanks giving break) | Ethics in AI, and other selected topic(possible:reinforcement learning, genetic algorithm) | Week 13 |
12/2/2025, 12/4/2025 | Final project presentation (Report due on Dec 12th) | Week 14 |
Final exam week | Tuesday, December 12th, 2:00pm - 4:00pm | Week 15 |
| | Week 16 |