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 here on the course website the day after the lecture at the latest.
  • Lab sessions (Fri 13:15-14:45) will take place in BCH 2201 and CE 1 106.

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

Lecture schedule [recordings]

Week Lecture Date Lecture Lab Session Watch-at-home Videos
1 20 Sep 2023 Intro [slides] Intro to tools [GitHub] Intro to lab sessions [slides] [recording]
2 27 Sep 2023 Handling data [slides] Quiz 1 (Test quiz) + Handling data [GitHub] Intro to project [slides] [recording]
3 04 Oct 2023 Visualizing data [slides] Quiz 2 + Data viz and data from the web [GitHub] + Project office hours [Zoom]  
4 11 Oct 2023 Describing data [slides] Quiz 3 + Describing data [GitHub]  
5 18 Oct 2023 Regression for disentangling data [slides] Quiz 4 + Regression for disentangling data [GitHub]+ Homework office hours [Zoom]  
6 25 Oct 2023 Causal analysis of observational data [slides] Quiz 5 + Causal analysis of observational data [GitHub]  
7 01 Nov 2023 Learning from data: Supervised learning [slides] Quiz 6 + Learning from data: Supervised learning [Github]  
8 08 Nov 2023 Learning from data: Applied ML [slides] Quiz 7 + Learning from data: Applied ML [Github] Homework 1 Post-mortem [recording]
9 15 Nov 2023 Learning from data: Unsupervised learning [slides] Quiz 8 + Learning from data: Unsupervised learning [Github]  
10 22 Nov 2023 Handling text data [slides] Quiz 9 [Github]  
11 29 Nov 2023 Handling text data (same as above) Quiz 10 + Handling text data (same as above)  
12 06 Dec 2023 Handling network data [slides] Quiz 11 + Handling network data [Github]  
13 13 Dec 2023 Scaling to massive data [slides] Quiz 12 + Scaling up [Github]  
14 20 Dec 2023 ADA in action [slides] Holiday (No lab sesssion) Homework 2 Post-mortem [recording]

Important Dates

  • Homework
  • Project deliverables
    • Project milestone P1
      • Due: 13 Oct 2023
    • Project milestone P2
      • Due: 17 Nov 2023
    • Project milestone P3
      • Due: 22 Dec 2023
  • Final exam: Tue 16 Jan 2024 (15:15–18:15)

All deadlines are 23:59 CET

Resources

Acknowledgment

The first edition of ADA took place in Fall 2016, created and taught by Michele Catasta. Over the years, the class has evolved from the starting point of that first edition, and a significant chunk of the material is still based on Michele’s original version. I am deeply obliged to Michele for laying this foundation.