Archive of the autumn 2025 course. The template projects described here are not offered in 2026. The 2026 course, its project rules and materials are at unil-ada.github.io.

Weekly Materials

Lectures, practice sessions, and assignments for each week

NOW

Week 14: Wrap-up and project presentations

Final Projects • Presentations

Open Week 14 →

Part I: Foundations & Python

1 Sep 15

Introduction to ML

Machine Learning • Nuvolos Setup
2 Sep 22

No Class - Holiday

Swiss Federal Fast
3 Sep 29

Python Crash Course

Python • Jupyter • NumPy • SciPy • GitHub
4 Oct 6

Supervised Learning - Regression

Linear/Polynomial Regression • Gradient Descent
5 Oct 13

Generative AI & LLMs

Programming with AI • Autonomous Agents
6 Oct 20

Supervised Learning - Classification

k-NN • Naive Bayes • Decision Trees • Boosting

Part II: Deep Learning & Neural Networks

7 Oct 27

Deep Learning Basics

MLPs • Feed-forward • SGD • Backpropagation
8 Nov 3

Advanced Deep Learning

TensorFlow • PyTorch • RNNs • LSTMs
9 Nov 10

Recap Week

Review All Concepts • Q&A • NLP Applications
10 Nov 17

Gaussian Processes

GP Regression • Kernels • Option Pricing

Part III: Advanced Topics

11 Nov 24

Dimensionality & Active Learning

Curse of Dimensionality • PCA • Active Subspaces
12 Dec 1

Unsupervised Learning

k-Means • GMM • EM • Hierarchical/DBSCAN
13 Dec 8

Reinforcement Learning

RL Intro • Q-Learning • Portfolio Optimization
14 Dec 15

Applications & Wrap-up

Deep Uncertainty Quantification • Projects