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.
Lab session
Homework
Project
Quizzes
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] | |
| 3 | 04 Oct 2023 | Visualizing data | Quiz 2 + Data viz and data from the web | |
| 4 | 11 Oct 2023 | Describing data | Quiz 3 + Describing data | |
| 5 | 18 Oct 2023 | Regression analysis for disentangling data | Quiz 4 + Regression analysis for disentangling data | |
| 6 | 25 Oct 2023 | Causal analysis of observational data | Quiz 5 + Causal analysis of observational data | |
| 7 | 01 Nov 2023 | Learning from data: Supervised learning | Quiz 6 + Learning from data: Supervised learning | |
| 8 | 08 Nov 2023 | Learning from data: Applied ML | Quiz 7 + Learning from data: Applied ML | |
| 9 | 15 Nov 2023 | Learning from data: Unsupervised learning | Quiz 8 + Learning from data: Unsupervised learning | |
| 10 | 22 Nov 2023 | Handling text data | Quiz 9 | |
| 11 | 29 Nov 2023 | Handling text data | Quiz 10 + Handling text data | |
| 12 | 06 Dec 2023 | Handling network data | Quiz 11 + Handling network data | |
| 13 | 13 Dec 2023 | Scaling to massive data | Quiz 12 + Scaling up | |
| 14 | 20 Dec 2023 | ADA in action | Holiday (No lab sesssion) |
Important Dates
- Homework
- Homework H1 [GitHub repo]
- Release: 13 Oct 2023
- Due: 27 Oct 2023
- Homework H2 [GitHub repo]
- Release: 17 Nov 2023
- Due: 01 Dec 2023
- Homework H1 [GitHub repo]
- Project deliverables
- Project milestone P1
- Due: 13 Oct 2023
- Project milestone P2
- Due: 17 Nov 2023
- Project milestone P3
- Due: 22 Dec 2023
- Project milestone P1
- Final exam: TBD
All deadlines are 23:59 CET
Instructor
Teaching assistants (TAs; PhD students)
- Akhil Arora (head TA)
- Manoel Horta Ribeiro (head TA)
- Aoxiang Fan
- Beatriz Borges
- Marija Šakota
- Martin Josifoski
- Mohammad Amani
- Saibo Geng
- Sepideh Mamooler
- Silin Gao
- Tianzong “Terry” Zhang
- Tim Davidson
Student assistants (SAs; MS students)
- Ali Waseem
- Berkay Döner
- Boukil Farouk
- Da Silva Gameiro Henrique
- Elif Sema Balcioglu
- Emanuele Nevali
- Federico Di Gennaro
- Hugo May
- Lucas Burget
- Nearchos Potamitis
- Pau Romeu Llordella
- Riccardo Brioschi
- Tommaso Martorella
Resources
- Coursebook listing
- Fall 2022 edition
- 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.