Conducting research in the areas of data engineering, data management, and machine learning systems requires the ability to deal with scientific literature in these areas as well as to design, implement, and evaluate prototypes. To facilitate these skills, the DAMS Lab group (FG Big Data Engineering) at TU Berlin offers a seminar and a programming project on Large-scale Data Engineering as a combined module (12 ECTS), which can be taken by bachelor and master students. Taking both seminar and project is the ideal preparation for a bachelor/master thesis with our group. Alternatively, only bachelor students may take the seminar as a separate module (3 ECTS) and the project as a separate module (9 ECTS).
For more information, please visit the course website.
A registration for the ISIS course does not mean a seat in the module, since the capacity of the module is limited.
To apply for a seat in the module, please proceed as follows:
- Large-scale Data Engineering (module #41086, 12 ECTS): seminar and project
There will be a poll for your required registration details here in the ISIS course. To apply for a seat in the module, please fill in the poll (details tba).
Deadline: Oct 12, 23:59 CEST.
Notification of admission: Among all students who filled in the poll in time, we will select the admitted students in accordance with §48 (3) AllgStuPO (ranking classes and random draw, in case of too many registrations), and notify all students on Oct 13. - Seminar Large-scale Data Engineering (module #41095, 3 ECTS): seminar only
The registration is organized centrally by Faculty IV via an ISIS meta course.
Deadline: Sep 20, 10:00 CEST.
Notification of admission: centrally by Faculty IV on Oct 02.
After all students have been notified of their admission status, we will remove all students who could not be admitted from the ISIS course.
- Trainer/in: Matthias Böhm
- Trainer/in: Patrick Damme