Print Schedule
CS 330 -- Schedule (fall2023)
Tentative - subject to change as course progresses
Date |
Description |
Weeks |
9/5/2023, 9/7/2023 | Introduction and machine learning basics, learning Python I | Week 1 |
9/12/2023, 9/14/2023 | Learning Python II, wrap-up and Lab 1 | Week 2 |
9/19/2023, 9/21/2023 | Quiz 1 on Python programming. Machine Learning basics and Probablistic theory and Naive Bayesian algorithm | Week 3 |
9/26/2023, 9/28/2023 | Quiz 2, review homework and labs. Lab 2 | Week 4 |
10/3/2023, 10/5/2023 | Model-based application; Lab 03 for data processing and Github. Course project | Week 5 |
10/10/2023, 10/12/2023 | Bayesian network learning, EM algorithm; Literature review and course project | Week 6 |
10/17/2023, 10/19/2023 | Decision tree; Lab 4 for decision tree | Week 7 |
10/24/2023, 10/26/2023 | Logistic and Linear regression; Practical machine learning and work on Lab 4, literature review | Week 8 |
10/31/2023, 11/2/2023(Mid-term) | Literature Review presentation and course project proposal presentation on Zoom | Week 9 |
11/7/2023, 11/9/2023 | Quiz 3 and review final course project; Introduction to Neural Network; Deep learning, recurrent neural network | Week 10 |
11/14/2023, 11/16/2023 | Support Vector Machine, Clustering | Week 11 |
11/21/2023, 11/23/2023(Thanks giving break) | Quiz 4, Catch up for classes and projects. Thanks giving break at 11/22 | Week 12 |
11/28/2023, 11/30/2023 | Ethics in AI, and other selected topic(possible:reinforcement learning, genetic algorithm) | Week 13 |
12/5/2023, 12/7/2023 | Final project presentation (Report due on Dec 12th) | Week 14 |
Final exam week | Tuesday, December 12th, 2:00pm - 4:00pm | Week 15 |
| | Week 16 |