NMEP Fall 2025

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 instructors this semester are Aaditya Agnihotri, Aditya Ghai and Tanmayi Dasari!

Schedule

Week Date Lecture Assignments Lecturer(s)
1 Sep 15 Intro + Background Review (slides) Lecture Exercise Rockfall - Sol.
Homework 1 (due 9/26) Numpy Pytorch
Aaditya, Tejas
2 Sep 22 Classical ML (slides) Homework 1 (due 9/26) Math Aaditya, Aditya, Tanmayi
3 Sep 29 Deep Learning (slides) Reading How to read a paper
Homework 2 (due 10/6) Word Embeddings
Aaditya, Aditya, Tanmayi
4 Oct 6 Computer Vision (slides) Lecture Exercise YOLO
Homework 3 (due 10/20) Model Zhu
Tim & Andrew
5 Oct 13 NLP + Transformers I (slides) Bharat, Tejas
6 Oct 20 Transformers II + LLMs (slides) Worksheet Transformer Basics
Solutions Transformer Basics Solutions
Homework 4 (due 3/28) Transformers!
Aaditya
7 TBD Midterm NMEP Midterm
10 Nov 3 State Space Models and Self-Supervised Learning(slides) Lecture Exercise Tejas, Julia
8 Nov 10 GANs and Diffusion(slides) Homework 5 Part 1 (due Nov 17) U-Nets and Diffusion! Aditya, Aaditya
9 Nov 17 RL(slides) Tanmayi
11 Nov 24 AI Safety Final Project Checkpoint Andrew
12 TBD Final project showcase Final Project Due