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Group formation and topic preferencesWritten on 12.04.25 by Till Koebe Dear students, thank you for your interest in participating in the Project Seminar DSAI! If you have already formed a group and submitted your topic preferences via email to me, you can ignore this email. For all other, a few notes on the group formation and the topic preferences: Dear students, thank you for your interest in participating in the Project Seminar DSAI! If you have already formed a group and submitted your topic preferences via email to me, you can ignore this email. For all other, a few notes on the group formation and the topic preferences: 2. Also, please share your topic preferences by Monday, April 14th, 23:59h CEST by sending me an email stating your top 3 topics: tkoebe@cs.uni-saarland.de 3. By the end of this week, I will notify you about the topic assigned to you and put you in touch with the respective project donor. Please do not hesitate to contact me in case of any questions. All the best,
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Projektseminar Data Science and Artificial Intelligence
The aim of this practical seminar is the realization of a complete pipeline of a project from the problem statement to finding solutions using methods of machine learning. The topics are proposed by groups from various fields of research, e.g. materials science, computer linguistics, bioinformatics, computer vision, but also (computational) social sciences. Each topic will be supervised by the group that proposed the topic. Up to three students will be working on one topic.
The project seminar consists of three parts. In the first part, the student group working on a topic will get acquainted with the topic, the input data, and research about potential solutions for the given problem. The second part is the implementation and testing of solutions for the problem. At the end of the course, the groups will present their topics and the solutions in a seminar. Successful completion of the seminar is rewarded with 9 CP for Data Science & Artificial Intelligence bachelor students.
Requirements
To participate in this seminar at least one of the following courses has to be passed
- Elements of Data Science and Artificial Intelligence
- Elements of Machine Learning
- Programming I or II
- or comparable
!Important!: By registering for the course via CMS, you confirm that you fulfil the course requirements.
Important Dates
Once finalized, all dates including time and place can also be found in our calendar.
| Events/Milestones | Date | Description |
|---|---|---|
| Kick-off Meeting | 09.04. | We present the available topics and discuss administrative matters. |
| CMS Registration | 14.04. | Students have to be registered for the seminar here in CMS. |
| Group Registration | 14.04. | Groups of two students have to be registered here in CMS. One group member creates a group and then invites the other members. |
| Topic Voting | 14.04. | Send an email containing your three favorite topics in ascending order of preference (one email per group). |
| LSF Registration | 06.05. | Students have to be registered for the seminar in LSF. |
| Interim update | 09.05. | Groups are asked to submit what they expect to be the main figure of their project with a detailed description via CMS. |
| Regular Meetings | Groups meet regularly with their supervisors to discuss the group's progress. | |
| Poster Submission | 27.06. | Groups submit their poster via CMS to be printed in time for the poster session. |
| Poster Session | 04.07. | Groups present their posters to the participants. |
| Code & Final Report Submission | 08.08. | Groups submit their final report and code via CMS. |
Passing
You pass the course if you complete the following milestones successfully.
- Active participation in the meetings
- Poster presentation and subsequent Q&A session
- Code and final report submissions