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Machine Learning for Behavioral Data 2026 @ EPFL (CS-421)

Introduction

Computer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will cover the core methods of user modeling and personalization, with a focus on educational data.

Structure

This repository contains the slides, in-class demonstrations, and interactive notebooks for each lecture in the lectures folder, organized by week.

Contributing

This code is provided for educational purposes and aims to facilitate reproduction of lab sessions. We have done our best to document, refactor, and test the code before publication.

Spring 2026 Teaching Team

  • Professor Tanja Käser, ML4ED Laboratory
  • TAs Marta Knežević, Seyed Parsa Neshaei and Jiaxu Zhao

About

Course Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2026.

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