How can I attend lectures and lab sessions?

  • Lectures (Wed 8:15-10:00) will take place in the Rolex Forum. Lectures will be recorded and the recordings will be made available on EPFL MediaSpace Playlist the day after the lecture at the latest.
  • Lab sessions (Fri 15:15-16:45) will take place in CE14, GCC330, and BCH 2201.

For best practices regarding course-related communication, please read the communication guidelines.

Lab session

Project

Lecture schedule [recordings]

Week Lecture Date Lecture Lab Session Watch-at-home Videos
1 09 Sep 2026 Intro [slides][recording] Intro to tools Intro to lab sessions
2 16 Sep 2026 Handling data [slides] [recording] Handling data  
3 23 Sep 2026 Visualizing data [slides] [recording] Data viz and data from the web + Project office hours  
4 30 Sep 2026 Describing data Describing data  
5 07 Oct 2026 Regression analysis for disentangling data Regression analysis for disentangling data  
6 14 Oct 2026 Causal analysis of observational data Causal analysis of observational data  
7 21 Oct 2026 Week Off    
7 28 Oct 2026 Learning from data: Supervised learning Learning from data: Supervised learning  
8 04 Nov 2026 Learning from data: Applied ML Learning from data: Applied ML  
9 11 Nov 2026 Learning from data: Unsupervised learning Learning from data: Unsupervised learning  
10 18 Nov 2026 Handling text data Handling text data  
11 25 Nov 2026 Handling text data Handling text data  
12 02 Dec 2026 Scaling to massive data Scaling up  
13 09 Dec 2026 Handling network data Handling network data  
14 16 Dec 2026 ADA in action Holiday (No lab sesssion)  

Important dates

  • Registration Form (to be done by each team member individually):
    • [Form] by Fri 25 Sep 23:59
  • Homework assignments
  • Project deliverables

All deadlines are 23:59 CET.

  • Final exam
    • 60% - date TBD


Resources