Course Schedule
Note this tentative schedule is subject to change. Please check the schedule regularly.
Last Updated: 01/12/2026
| Week | Starting | Topics | Reading | Notes |
|---|---|---|---|---|
| 1 | 1/12/26 | T: Lec1 - Course intro and data mining | Ch. 1 | Mon: HW1 out |
| H: Lec2 - Data and data warehousing | ||||
| 2 | 1/19/26 | T: Lec3: Data preprocessing | Ch. 2 | Mon: Lab 1 week |
| H: PE1 - Data preprocessing | ||||
| 3 | 1/26/26 | T: Lec4 - Classification | Ch. 5 | Mon: HW1 due; HW2 out; Lab 2 week |
| H: Lec5 - Decision trees | ||||
| 4 | 2/2/26 | T: Lec6 - Ensemble techniques | Ch. 6 | Mon: Lab 3 week |
| H: PE2 - Classification Exercises | Fri: Project kick-off meeting due | |||
| 5 | 2/9/26 | T: Lec7 - Deep learning; ANN | Ch. 7 | Mon: HW2 due; HW 3 out |
| H: PE3 - ANN | ||||
| 6 | 2/16/26 | T: Lec8 - CNN | Ch. 10 | Mon: Project proposal due; Lab 4 week |
| H: PE4 - CNN | ||||
| 7 | 2/23/26 | T: Module 1 Review and Exam Preview | Ch. 11 | Mon: HW 3 due |
| H: Exam 1 | ||||
| 8 | 3/2/26 | T: Spring Break, No Classes | Ch. 14 | |
| H: Spring Break, No Classes | ||||
| 9 | 3/9/26 | T: Lec9 - Clustering | Ch. 9 | Mon: HW 4 out; Lab 5 week |
| H: PE5 - Clustering Exercises | ||||
| 10 | 3/16/26 | T: Lec10 - NLP | ||
| H: Lec11 - LLM | Fri: Project milestone due. | |||
| 11 | 3/23/26 | T: PE6 - NLP | Ch. 8 | Mon: HW 4 due; HW 5 out; Lab 6 week |
| H: Lec12 - Dimensionality Reduction | ||||
| 12 | 3/30/26 | T: PE7 - PCA | ||
| H: Easter Break; No Classes | ||||
| 13 | 4/6/26 | T: Lec13 - Association Rule Learning | Medium Article | Mon: HW5 due |
| H: PE8 - ARL Exercises | ||||
| 14 | 4/13/26 | T: Module 2 Review and Exam Preview | ||
| H: Exam 2 | ||||
| 15 | 4/20/26 | T: Final Project Presentation at SCAD | Mon: Final project slides and code due | |
| H: Final Project Presentation Buffer | ||||
| 16 | 4/27/26 | T: Final Project Presentation Buffer | ||
| H: Reading Day, No Classes | Fri: Revised code and final paper due |