Participants independently solve alone or in a small group an individually a given problem. The problems are usually programming projects inspired by the research performed at the Systems Group.
Possible areas are:
- from the area Security & Systems
- Secure Data Systems
- Trustworthy Databases
- Secure Analytics and Machine Learning
- from the area Machine Learning for Data Engineering
- Enterprise Data Engineering with LLMs
- Data Discovery in Data Lakes
- Foundation Models for Tabular Data
- Explainable Data Science
- from the area Future Data Systems
- Modern Hardware for Data Systems
- Learned Data Systems
- Systems for Machine Learning
- Cloud Data Systems
In this lab the students will realise a project defined by their advisor. Compared to the “Systems Lab”, the “Systems Extended Lab” requires more work and a written report
The groups agree among themselves and with the supervisors on how meetings will take place during the semester (in-person, online or both). However, synchronized meetings such as final presentations are in-person unless for a very good reason and previously discussed with the organizers.
All further information will be published in Moodle in the weeks before the start of lectures. Once opened, the Moodle course can be found in the Electives section of the current semester.
Quick Links
Organization
| Last offered | Summer Semester 2025 |
| Credits |
6CP – Systems Lab 9CP – Systems Extended Lab |
| Advisors | depending on project |
| Organizers | Johannes Wehrstein, Uelison dos Santos (systemslab(at)lists.systems.informatik.tu-darmstadt.de) |
| Examination | You are graded based on your project results, hand-in and final presentation (plus report for Extended Lab) |
Dates:
See Moodle link above for additional information |
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After discussion with your advisor: Familiarization, based on selected project and implementation of an individualized work plan. You hand in code, a project summary, documentation and in case of the extended lab a report at the end of the semesters. Projects will be presented in a session with all students at the end of the semester.
