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 13:15-15:00) will take place in BCH 2201.
For best practices regarding course-related communication, please read the communication guidelines.
Lab session
Homework
Project
Quizzes
Lecture schedule [recordings]
| Week | Lecture Date | Lecture | Lab Session |
|---|---|---|---|
| 1 | 21 Sep 2022 | Intro [slides] | Intro to tools [GitHub] + Intro to lab session and tools [slides] |
| 2 | 28 Sep 2022 | Handling data [slides] | Quiz 1 (Test quiz) + FAQ + Handling data [GitHub] + Project Intro [slides] |
| 3 | 05 Oct 2022 | Visualizing data [slides] | Quiz 2 + FAQ + Data viz and data from the web [GitHub] + Project office hours |
| 4 | 12 Oct 2022 | Describing data [slides] | Quiz 3 + FAQ + Describing data [GitHub] |
| 5 | 19 Oct 2022 | Regression analysis [slides] | Quiz 4 + FAQ + Regression analysis [GitHub] + Homework office hours |
| 6 | 26 Oct 2022 | Observational studies [slides] | Quiz 5 + P2 release [slide] + FAQ + Observational studies [GitHub] |
| 7 | 02 Nov 2022 | Supervised learning [slides] | Quiz 6 + FAQ + Supervised learning [GitHub] + Project office hours |
| 8 | 09 Nov 2022 | Applied ML [slides] | Quiz 7 + FAQ + H1 postmortem [recording] + Applied ML [GitHub] + Project office hours |
| 9 | 16 Nov 2022 | Unsupervised learning [slides] | Quiz 8 + FAQ + Unsupervised learning [GitHub] |
| 10 | 23 Nov 2022 | Handling text data [slides] | Quiz 9 + Invited talks [recording] + Homework office hours |
| 11 | 30 Nov 2022 | Handling text data [slides] | Quiz 10 + FAQ + Handling text data [Github] |
| 12 | 07 Dec 2022 | Handling network data [slides] | Quiz 11 + FAQ + Handling network data [Github] + Project office hours |
| 13 | 14 Dec 2022 | Scaling to massive data [slides] | Quiz 12 + FAQ + H2 postmortem [recording] + Scaling up [GitHub] + Project office hours |
| 14 | 21 Dec 2022 | ADA in action [slides] | Holiday (No lab sesssion) |
Important Dates
- Homework
- Homework H1 [GitHub repo]
- Release: 14 Oct 2022
- Due: 29 Oct 2022
- Homework H2 [GitHub repo]
- Release: 18 Nov 2022
- Due: 02 Dec 2022
- Homework H1 [GitHub repo]
- Project deliverables
- Project milestone P1
- Due: 14 Oct 2022
- Project milestone P2
- Due: 18 Nov 2022
- Project milestone P3
- Due: 23 Dec 2022
- Project milestone P1
- Final exam: 17 Jan 2023 (15:15-18:15)
All deadlines are 23:59 CET
Instructor
Teaching assistants (TAs; PhD students)
- Akhil Arora (head TA)
- Manoel Horta Ribeiro (head TA)
- Aryo Lotfi
- Bhargav Srinivasa Desikan
- Chenyang Wang
- Halima Schede
- Lars Klein
- Marija Šakota
- Martin Josifoski
- Silin Gao
- Valentin Hartmann
Student assistants (SAs; MS students)
- Ana-Arina Raileanu
- Edvin Maid
- Erwan Serandour
- Eugénie Chabenat
- Francesco Salvi
- Giacomo Orsi
- Hugo Casademont
- Jozef Coldenhoff
- Margaux L’Eplattenier
- Marie Biolková
- Mete Ismayil
- Miloš Vujasinović
- Nicolas Baldwin
- Roberto Ceraolo
Resources
- Coursebook listing
- Fall 2021 edition
- Fall 2020 edition
- Fall 2019 edition
- Fall 2018 edition
- Fall 2017 edition
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.