How can I attend lectures and lab sessions?

ADA will be run as a hybrid offline/online course: Lectures (Wed 8:15-10:00) will take place in the Rolex Forum. Additionally, the lectures will be live-streamed on Zoom, as well as recorded and made available here on the course website the day after the lecture at the latest. Lab sessions (Fri 13:15-15:00) will be held online only.

For additional details on how to connect via Zoom, please refer to the communication guidelines.

Lab session

Homework

Project

Quizzes

Lecture schedule [recordings (lectures + lab sessions)]

Week Lecture Date Lecture Lab Session
1 22 Sep 2021 Intro [slides] Intro to tools [GitHub] + Intro to lab session and tools [slides]
2 29 Sep 2021 Handling data [slides] Test quiz + Handling data [GitHub] + Project office hours
3 06 Oct 2021 Visualizing data [slides] Quiz 1 + Data viz and data from the web [GitHub]
4 13 Oct 2021 Describing data [slides] Quiz 2 + Describing data [GitHub] + H1 office hours
5 20 Oct 2021 Regression analysis [slides] Quiz 3 + Regression analysis [GitHub] + Project office hours
6 27 Oct 2021 Observational studies [slides] Quiz 4 + Observational studies [GitHub] + H1 postmortem + Project office hours
7 03 Nov 2021 Supervised learning  
8 10 Nov 2021 Applied ML  
9 17 Nov 2021 Unsupervised learning  
10 24 Nov 2021 Handling text  
11 01 Dec 2021 Handling text  
12 08 Dec 2021 Handling networks  
13 15 Dec 2021 Scaling up  
14 22 Dec 2021 ADA in action  

Important Dates

  • Homework
    • Homework H1 [GitHub repo]
      • Release: 08 Oct 2021
      • Due: 22 Oct 2021
    • Homework H2 [GitHub repo TBA]
      • Release: 12 Nov 2021
      • Due: 26 Nov 2021
  • Project deliverables
    • Project milestone P1
      • Due: 08 Oct 2021
    • Project milestone P2
      • Due: 12 Nov 2021
    • Project milestone P3
      • Due: 17 Dec 2021
  • Final exam: TBA

All deadlines are 23:59 CET

Instructor

Teaching assistants (TAs; PhD students)

  • Kristina Gligorić (executive TA)
  • Akhil Arora (head TA)
  • Manoel Horta Ribeiro (head TA)
  • Anastasiia Kucherenko
  • Ekaterina Svikhnushina
  • Halima Schede
  • Marija Šakota
  • Martin Josifoski
  • Paola Mejia
  • Valentin Hartmann
  • Vinitra Swamy

Student assistants (SAs; MS students)

  • Alexander Apostolov
  • Francesco Posa
  • Giorgio Mannarini
  • Léopaul Boesinger
  • Lin Yuan
  • Ludovica Schaerf
  • Matthias Zeller
  • Neil Scheidwasser-Clow
  • Pierre Bouquet

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.