Course Schedule
Note this tentative schedule is subject to change. Please check the schedule regularly.
Last Updated: 06/29/2022
| Week | Starting | Topics | Reading | Notes | 
|---|---|---|---|---|
| 1 | 8/22/22 | T: Lec1 - Course introduction and data mining | Ch. 1 | Mon: HW1 out | 
| H: Lec2 - Data and data warehousing | ||||
| 2 | 8/29/22 | T: Lec3 - SQL and data extraction | Ch. 2 | |
| H: Lec4 - Data Preprocessing | ||||
| 3 | 9/5/22 | T: PE1 - Data Preprocessing Exercises | Ch. 5 | Mon: Quiz 1 Out; HW1 due | 
| H: Lec5 - Classification Part 1 | ||||
| 4 | 9/12/22 | T: Lec6 - Classification Part 2 | Ch. 6 | Mon: HW2 out | 
| H: PE2 - Classification Exercises | ||||
| 5 | 9/19/22 | T: Lec7 - Ensemble techniques | Ch. 7 | Mon: Quiz 2 Out | 
| H: PE3 - Ensemble Techniques Exercises | ||||
| 6 | 9/26/22 | T: Lec8 - Deep learning and Multi-layer Perceptrons | Ch. 10 | Mon: Quiz 3 Out; HW2 due | 
| H: PE4 - ANN Exercises | ||||
| 7 | 10/3/22 | T: Lec9 - Convolutional neural networks | Ch. 11 | Mon: Quiz 4 Out | 
| H: Fall Break, No Classes | ||||
| 8 | 10/10/22 | T: PE5 - CNN Exercises | Ch. 14 | Mon: HW3 out. | 
| H: Exam 1 | ||||
| 9 | 10/17/22 | T: Project milestone demo | Ch. 9 | Mon: Quiz 5 Out | 
| H: Lec10 - Clustering | ||||
| 10 | 10/24/22 | T: PE6 - Clustering Exercises | Medium Article | Mon: Quiz 6 Out | 
| H: Lec11 - Association Rule Learning | ||||
| 11 | 10/31/22 | T: PE7 - ARL Exercises | Ch. 8 | Mon: Quiz 7 Out; HW3 due; HW 4 out. | 
| H: Lec12 - Dimensionality Reduction | ||||
| 12 | 11/7/22 | T: PE8 - PCA Exercises | All Notes | |
| H: Exam 2 | Sun: Paper Presentation due | |||
| 13 | 11/14/22 | T: Paper Presentation Group 1 | Mon: Quiz 8 out, HW 4 due. | |
| H: Paper Presentation Group 2 | ||||
| 14 | 11/21/22 | T: Paper Presentation Group 3 (if needed) | ||
| H: Thanksgiving Break, No Classes | Sun: Final Project Due | |||
| 15 | 11/28/22 | T: Final Project Presentation Group 1 | ||
| H: Final Project Presentation Group 2 | ||||
| 16 | 12/5/22 | T: No Classes | Wed: Revised code and final paper due | |
| H: No Classes |