NMEP Spring 2026
Welcome everyone! In the New Member Education Program (NMEP), we’ll be paving a sturdy ML foundation for you—from classical ML to diffusion models. Come hungry to learn and get to know the rest of your class!
Your instructor this semester is Surya Krishnapillai!
Schedule
| Week | Date | Lecture | Assignments | Lecturer(s) |
|---|---|---|---|---|
| 1 | Feb 9 | Introduction + Math Review (slides) | Lecture Exercise Rockfall Homework 1 (due Feb 23) Math NumPy PyTorch | Surya |
| 2 | Feb 16 | Classical Machine Learning (slides) (notes) | Surya | |
| 3 | Feb 23 | Deep Learning | Surya | |
| 4 | March 2 | Computer Vision | Tim, Andrew | |
| 5 | March 9 | Natural Language Processing + Transformers I | Surya, Saathvik | |
| 6 | March 16 | Transformers II + Large Language Models | Tejas | |
| 7 | TBD | Midterm | NMEP Midterm | |
| 8 | March 30 | Self-Supervised Learning + Elective | TBD | |
| 9 | Apr 6 | Generative Models | Tejas | |
| 10 | Apr 13 | Reinforcement Learning | Surya | |
| 11 | Apr 20 | AI Safety | Final Project Checkpoint | Prakrat |
| 12 | TBD | Final project showcase | Final Project Due |