Seminar on Applied Artificial Intelligence
This website provides information about the seminar for the summer semester 2026.
Content
This seminar covers a wide range of topics in the field of artificial intelligence, proposed by members of our research group. Students will learn how to write and present a scientific paper on a specific topic. They will also be introduced to conducting a literature review of scientific papers.
The seminar is offered to both Bachelor’s and Master’s students. Each student is assigned a topic and a tutor.
Registration and Admission
Registration for the seminar is handled via the Computer Science Department’s centralized distribution course in OLAT. As each student is assigned a topic and a tutor, the number of seminar places is limited by the number of available topics.
After the centralized assignment process has been completed by the Computer Science Department, you will be granted access to our OLAT course.
Topic assignment will take place via OLAT after the introductory meeting. Please do not email us beforehand to ask for specific topics.
Schedule and Course Format
There will be a mandatory introductory meeting at DFKI, where the course organization and seminar topics will be presented and the OLAT access code will be provided.
- Introductory meeting: 21.04.2026 (Tuesday), 11:00–12:00
During the lecture period, students will work on their assigned seminar topics with guidance from their supervisors. Discussions with supervisors will take place individually and may be held virtually or in person.
There will also be a mandatory one-hour course on scientific writing and working with LaTeX.
The paper must be written in English and should be 10 pages long (Bachelor’s students: 8 pages). Students should follow the provided templates for their seminar paper.
The final presentations will take place at the end of the semester as an in-person block event at the DFKI site in Kaiserslautern. Presentations must also be given in English and will last about 25 minutes each, including questions.
Topics
A list of topics, including descriptions and the preferred student level (Bachelor’s/Master’s/Any), will be posted here before the introductory meeting.
Note: Topics marked as {PRE-ASSIGNED} are not available for assignment.