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Last Call: Group Registration + Topic Preferences

Written on 21.04.26 by Till Koebe

Dear students,

for those of you that have *NOT* registered a group of two *OR* have *NOT*submitted their topic preferences to me, please do so asap or get in touch with me, latest at the end of the day. Otherwise, you will *NOT* be able to participate in this year's project seminar. Eligible are BSc students in the DSAI program and the Plus MINT program with the DSAI focus that fulfill the requirements outlined on the main page of this CMS course.

Best,
Till

p.s.: All those who have done both already will be introduced today to their assigned project donors.

Seminar Kickoff Tomorrow, Apr 15th, 2026, 10-12h in E1.3 HS002

Written on 14.04.26 by Till Koebe

Dear students,

a kind reminder that the seminar kickoff will take place tomorrow, April 15th from 10-12h in building E1.3 in lecture hall HS002.

Looking forward to meeting you all tomorrow!

Best,
Till

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

The seminar is for B.Sc. DSAI students only. To participate in this seminar you must be already enrolled in the DSAI or Plus MINT (with DSAI focus) program and 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	15.04.	We present the available topics and discuss administrative matters.
CMS Registration	20.04.	Students have to be registered for the seminar here in CMS.
Group Registration	20.04.	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	20.04.	Send an email containing your three favorite topics in ascending order of preference (one email per group).
LSF Registration	12.05.	Students have to be registered for the seminar in LSF.
Interim update	15.05.	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	17.06.	Groups submit their poster via CMS to be printed in time for the poster session.
Poster Session	24.06.	Groups present their posters to the participants.
Code & Final Report Submission	31.07.	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