Weekly Materials

Lectures, practice sessions, and assignments for each week

NOW

Week 0-1: Course Overview

Setup • Unix/Linux • Git

Open Week 0 →

Part I: Python Foundations

0-1 Sep 15

Course Overview

Setup • Unix/Linux • Git
2 Sep 22

No Class

Swiss Federal Fast
3 Sep 29

Python Fundamentals I

Variables • Control flow • Strings • Git
4 Oct 6

Python Fundamentals II

Functions • Data structures • Recursion
5 Oct 13

Special Session: Generative AI

LLMs • Autonomous agents (Anna)
6 Oct 20

Python Fundamentals III

OOP • Classes • Inheritance • Testing

Part II: Statistical Learning

7 Oct 27

Linear Regression

Supervised Learning • Gradient Descent
8 Nov 3

Classification

k-NN • Naive Bayes • Decision Trees
9 Nov 10

Unsupervised Machine Learning

k-Means • GMM • PCA • Clustering
10 Nov 17

Deep Learning Primer

MLPs • Backpropagation • TensorFlow

Part III: Advanced Topics

11 Nov 24

Best Practices in Data Science

Libraries • EDA • Feature Engineering
12 Dec 1

Introduction to HPC

Shared/Distributed Memory • Parallelization
13 Dec 8

HPC with Python

Numba • JAX • Multi-threading
14 Dec 15

Capstone Project Presentations

Final presentations • Course wrap-up