Schedule
This schedule should be considered tentative, at least until it actually takes place! Consult the course staff in advance if needed.
Spring 2026
| Date | Lecture Title | Lecture Slides | Demos | Assignments |
|---|---|---|---|---|
| 02/11/26 | Lecture 1: Intro |
Slides
|
Demo |
A1 A1 (solution) |
| 02/18/26 | Lecture 2: Data Manipulation |
Slides
|
Demo Demo (filled) |
A2 A2 (data) |
| 02/25/26 | Lecture 3: Data Visualization |
Slides
|
Demo Demo (filled) |
A3 A3 (data) |
| 03/04/26 | Lecture 4: Elements of Machine Learning Pt. I |
Slides
|
Demo |
A4 A4 (data) |
| 03/09/26 | Web Scraping Workshop | - | - | - |
| 03/11/26 | Lecture 5: Elements of Machine Learning Pt. II | - | - | - |
| 03/18/26 | Lecture 6: Introduction to Classifiers | - | - | - |
| 03/25/26 | Lecture 7: Supervised Learning Pt. I | - | - | - |
| 04/08/26 | Lecture 8: Supervised Learning Pt. II | - | - | - |
| 04/15/26 | Lecture 9: Unsupervised Learning | - | - | - |
| 04/22/26 | Lecture 10: Data Science and ML in the World | - | - | - |
| 04/24/26 | Deep Learning Workshop | - | - | - |
| 04/29/26 | Final Project Due | - | - | - |