Navigation auf uzh.ch
Organization: Prof. Dr. Dan Olteanu, Prof. Dr. Michael Böhlen
This seminar overviews recent research development at the intersection of databases and machine learning. In particular, it considers two distinct lines of work:
Learning outcome: The goal of the seminar is to expose the students to the recent trends in academia and industry on rethinking database management systems and on how to effectively unify knowledge on both machine learning and databases to scale data science workloads.
Target audience: MSc in Data Science students (the maximum number of students is restricted to 18)
Semester: This seminar will be offered in Fall 2020.
Teaching format: Each participant writes a self-contained report of about 10 pages, gives a 30 minutes presentation, and answers follow-up technical questions in a 15-minutes Q&A session. Each participant has a buddy. Buddies read the report, make suggestions for improvements, and help with the presentation (e.g., dry runs). The first version of the report is due three weeks before the date of the presentation. This first version of the report and presentation will be discussed with the buddy and the teacher about two weeks before the presentation. The final versions of the report are due one week before the presentation.
Registration: Please register using the following form. This form will send your data (name, major, choice of three research papers from the list below) to seminar organizers. Confirmation of participation and assigned research paper will be received by email and the list below will be updated to highlight the papers that remain available. There are still open places!
Meetings: The first meeting will be on Monday, September 14, 2020 from 17:00 until 18:30. This will be in room BIN 2.A.10. The meeting will feature a presentation by the organizers overviewing the topics to be investigated in the seminar and it will answer questions from the participants. The slides of the first meeting can be found here (PDF, 183 KB).
The student presentations will take place on Saturdays December 5 and 12, 2020 in Room BIN 2.A.01.
Participation at all three meetings is compulsory. The assessment depends on the quality of the report, presentation, active participation during the seminar, and input as a buddy.
How to read papers:
How to give talks:
The following are individual paper assignments organized by topics. Whenever an entry has two papers, this means that both papers can be presented together (as they use similar ideas), or only one of them can be presented.
Paper | Name | Buddy | Supervisor |
---|---|---|---|
1.1 | Yang Menz | Maximilian Tornow | Dan Olteanu |
1.2 | Joel Leupp | Xiaozhe Yao | Dan Olteanu |
1.3 | Padmapriya Raghu | Aditi Thakur | Dan Olteanu |
1.4 | Aditi Thakur | Padmapriya Raghu | Dan Olteanu |
1.5 | Xiaozhe Yao | Joel Leupp | Ahmet Kara |
2.1 | Clive Charles Javara | Syed Shahvaiz Ahmed | Ahmet Kara |
2.2 | Dominique Hässig | Ankush Panwar | Ahmet Kara |
2.3 | Syed Shahvaiz Ahmed | Clive Charles Javara | Ahmet Kara |
2.4 | Maximilian Tornow | Yang Menz | Michael Böhlen |
2.5 | Ankush Panwar | Dominique Hässig | Michael Böhlen |
3.1 | Ming Yi | YingYing Chen | Michael Böhlen |
3.2 | Ratanak Hy | Nazim Bayram | Michael Böhlen |
3.3 | Yu Linghu | Christoph Mayer | Nils Vortmeier |
3.4 | YingYing Chen | Ming Yi | Nils Vortmeier |
3.5 | Christoph Mayer | Yu Linghu | Nils Vortmeier |
3.6 | Nazim Bayram | Ratanak Hy | Nils Vortmeier |
Papers 1.1 to 2.3 will be presented on Saturday, December 5, 2020
Papers 2.4 to 3.6 will be presented on Saturday, December 12, 2020