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 ADA2024 Playlist (The link will be updated!) the day after the lecture at the latest.
  • Lab sessions (Fri 15:15-16:45) will take place in GCC330, CE14, and BCH2201.

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

Lab session

Homework

Project

Lecture schedule [recordings]

Week Lecture Date Lecture Lab Session Watch-at-home Videos
1 10 Sep 2025 Intro Intro to tools  
2 17 Sep 2025 Handling data Handling data  
3 24 Sep 2025 Visualizing data Data viz and data from the web + Project office hours  
4 01 Oct 2025 Describing data Describing data  
5 08 Oct 2025 Regression analysis for disentangling data Regression analysis for disentangling data  
6 15 Oct 2025 Causal analysis of observational data Causal analysis of observational data  
7 22 Oct 2025 Week Off    
7 29 Oct 2025 Learning from data: Supervised learning Learning from data: Supervised learning  
8 05 Nov 2025 Learning from data: Applied ML Learning from data: Applied ML  
9 12 Nov 2025 Learning from data: Unsupervised learning Learning from data: Unsupervised learning  
10 19 Nov 2025 Handling text data H2 office hours, invited talk  
11 26 Nov 2025 Handling text data Handling text data  
12 03 Dec 2025 Handling network data Handling network data  
13 10 Dec 2025 Scaling to massive data Scaling up  
14 17 Dec 2025 ADA in action Holiday (No lab sesssion)  

Important Dates

  • Homework
    • This year, we have only one graded homework.
      • Release: 05 Nov 2025
      • Due: 26 Nov 2025
  • Project deliverables
    • Project milestone P1
      • Due: 01 Oct 2025
    • Project milestone P2
      • Due: 05 Nov 2025
    • Project milestone P3
      • Due: 17 Dec 2025
  • Final exam: TBD

All deadlines are 23:59 CET

Resources

Acknowledgment

The first edition of ADA took place in Fall 2016, created and taught by Michele Catasta. The course has since been taught by Robert West.