Data Systems Research Seminars provides a forum for master students to discuss and generate ideas on various applied research issues. Students conduct an in-depth study of research in machine learning interpretability and knowledge graphs, work in discussion groups, and debate. In the research seminar, the students can integrate their knowledge, skills, and practical experience gained throughout their studies. These seminars can be used for 3 ECTS in the seminar module. 3 extra ECTS can be assigned to students who decide to carry on a project in the seminars' context.
Every student must choose 2 research papers. One to defend and one to oppose.
The presentation lasts 20 minutes followed by 15 minutes of defense. During the defense, anyone can ask questions, but the opponent is supposed to lead the discussion stressing on the work's weaknesses.
Defender and Opponent should write a common report for the paper in an object.
NOTABLY: Reading a paper always requires to read many of the references too. Both the defender and the opponent should focus on the literature.
Time: Thursday, 14:15-16:00 Room: Zoom Link Language: English
First Seminar Meeting: 10-Sep-2020: Introduction
This seminar is a "pass/fail" course. Presence during the lectures is mandatory unless explicitly agreed (then video must be switched on)
- Quality of final report -> Grades 1-5 possible;
- Quality of presentation (defense) (incl. slides) -> Grades 1-5 possible;
- Proper Use of Time; (2) Clarity & Speed; (3) Logical Flow of Argument / Content;
- Quality of the inquiry (opponent) as well as the other participants.
Inspired by https://courses.cs.ut.ee/2020/ResSemSE/fall/Main/Assignments: