Info about the start of the semester
You will find current information on the start of the semester here. Information specific to your study program can be found at the bottom of the page in the dropdown for the corresponding study programs.
Introductory Sessions
The welcome of the first semester students and the subject-specific introductory events will take place on Friday, 7 February at 11:00. You can find the rooms in the information on your respective degree programmes. There will be further events at the beginning of the first week of lectures. For detailed information, please refer to the drop-down menu of your degree programme.
Welcome Letter Mannheim Master in Data Science and Business Informatics
B.Sc. Wirtschaftsinformatik
Semesterzeiten
Semester: 01.02.2025–31.07.2025
Rückmeldungen: 15.10.2024–01.12.2024
Vorlesungszeit: 10.02.2025–30.05.2025
Prüfungszeit: Ersttermin: 31.05.2025–14.06.2025
Prüfungen Zweittermin: 01.02.2025–08.02.2025Wichtige Unterlagen rund um den Studiengang finden Sie hier.
Seminare im FSS 2025
Die Anmeldung für die Seminare unserer Fakultät (Achtung: nicht die IS-Seminare der Area Information Systems der Fakultät für BWL) im FSS 2025 erfolgt zentral über Portal2. Sie können sich voraussichtlich ab dem 15.01. bis zum 10.02.2025 anmelden.
Es gibt kein First come – first serve. Allerdings werden Studierende höherer Fachsemester ggf. vorrangig berücksichtigt.
Die Anmeldung finden Sie hier:
Bitte beachten Sie: Sie müssen mind. 3 Prioritäten angeben!
Achten Sie außerdem darauf, dass Sie die Voraussetzungen für die jeweiligen Seminare erfüllen.
Die Zuteilung erfolgt ab dem 11.02.2025.
B.Sc. Wirtschaftsmathematik
M.Sc. Wirtschaftsmathematik und M.Sc. Mathematik
M.Sc. Business Informatics and M.Sc. Data Science
Welcome at the University of Mannheim!
Introductory Session
We are excited to welcome you to the University of Mannheim! The introductory session for new Master students in Business Informatics and Mannheim Master in Data Science will take place on Friday, February 7, 2025. The event will start at 11:00 AM in A5 Room C014.
From this semester onwards, we will upload presentations that cover essential information about studying at the University of Mannheim, along with subject-specific introductions. These presentations are available below. We highly recommend that you review these materials beforehand.
During the introductory session on February 7, we will hold a Q&A segment. Please come prepared with any questions you may have based on the uploaded presentations.
Course Registration
- Course registration: In the FSS25, registration is only mandatory for courses with a limitation on attendance. Make sure to register for your courses within the time frames mentioned below, otherwise, you will not be admitted to them. You can also register for the other courses.
- You can register for courses with limited attendance from Januar 15 to February 10, 2025. This only applies to a few courses from M.Sc. Business Informatics and M.Sc. Data Science, the seminars and the team projects. Please note that we cannot guarantee spots for limited courses. Here is a list of courses with limited capacity:
- IE 500 – Data Mining
- IE 694 – Artificial Intelligence Applications in Industry
- CS 668 – Generative Computer Vision Models
- IE 684 – Web mining project
- IE 686 – Large Language Models and Agents
- You can register for courses with limited attendance from Januar 15 to February 10, 2025. This only applies to a few courses from M.Sc. Business Informatics and M.Sc. Data Science, the seminars and the team projects. Please note that we cannot guarantee spots for limited courses. Here is a list of courses with limited capacity:
- Please note: The course registration is NOT automatically an exam registration. You must register separately for your exams during the exam registration period.
- Master Seminars: The registration will be open from January 15, 2025 on. You can register for the Master Seminars in Portal2 until February 10: https://portal2.uni-mannheim.de:443/portal2/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=48897&periodId=932&navigationPosition=hisinoneLehrorganisation,hisinoneLectures,editCourse
You must prioritize at least three seminars. There is no first come first serve. The allocation will take place from September 3 on.
- Registration period for Master's courses of the Business School with obligatory registration and restricted course capacity: please take care of differnt deadlines according Portal2.
Team Projects Spring 2025
Teamproject Presentations FSS 2025
- 1. AI-based Research Platform for Human-AI Creativity.pdf( PDF , 466 KB )
- 2. TaxoGen Innovating WebIsA Taxonomies.pdf( PDF , 476 KB )
- 3. BlockCaffeine Building an Etereum-based paymend system for coffee makers.pdf( PDF , 384 KB )
- 4. Building Bridges Aligning embeddings for biomedical applications.pdf( PDF , 911 KB )
- 5. Enhancing patient care Mobile patient app integration for hospital admission and medical consent.pdf( PDF , 392 KB )
- 6. Agent-driven Code Recommendation Service ACRS using LangChain and LASSO.pdf( PDF , 634 KB )
- 7. KnowRAG A Benchmark for Knowledge Graph-based Retrieval Augmented Generation.pdf( PDF , 601 KB )
- 8. Implementation of an AI Sandbox for the E-Learning Platform of the Software Engineering Chair.pdf( PDF , 768 KB )
- 9. Investigating Multilingual Mismatches in Cuisine related Discussions with Large Language Models.pdf( PDF , 1 MB )
- 10. Simulation of TV debates with Large Language Models.pdf( PDF , 359 KB )
- 11. What do LLMs know about social networks.pdf( PDF , 251 KB )
- 12. Self-Organization Among Large Language Model Agents.pdf( PDF , 389 KB )
- 13. Modeling Human Mobility Behavior with societies of LLM agents.pdf( PDF , 553 KB )
- 14. LowCode Factory.pdf( PDF , 821 KB )
- 15. Practically Efficient Computer Vision Models using Image Quantization.pdf( PDF , 575 KB )
- 16. Practical aspects and implications of certified robustness.pdf( PDF , 4 MB )
- 17. Make your company data SPARQL.pdf( PDF , 2 MB )
- 18. Never miss -understand an opportunity – Enrich opportunity related data using Large Language Models.pdf( PDF , 2 MB )
- 19. Evaluating Fairness versus Robustness of Computer Vision Models.pdf( PDF , 601 KB )
Introductory Presentations for Students
To help you get off to a great start at the University of Mannheim, we've prepared an essential presentation that covers everything you need to know about studying here, including detailed subject-specific introductions. It's crucial that you review this presentation before our introductory session on August 30th. This will ensure you're well-prepared and able to make the most of the session by addressing any remaining questions you might have. We look forward to welcoming you and supporting your academic journey at the University of Mannheim!
- Course registration: In the FSS25, registration is only mandatory for courses with a limitation on attendance. Make sure to register for your courses within the time frames mentioned below, otherwise, you will not be admitted to them. You can also register for the other courses.
M.Sc. Social Data Science
Welcome at the University of Mannheim!
Introductory Session
The Introductory Session for Master Students in Mannheim Master in Social Date Science will take place on Friday, August 30, 2024.
We will start at 11:00 a.m in A5, Room B144From this semester onwards, we will upload presentations that cover essential information about studying at the University of Mannheim, along with subject-specific introductions. These presentations will be available as soon as possible. We highly recommend that you review these materials beforehand.
During the introductory session on August 30, we will hold a Q&A segment. Please come prepared with any questions you may have based on the uploaded presentations.
Introductory Presentations for Students
To help you get off to a great start at the University of Mannheim, we've prepared an essential presentation that covers everything you need to know about studying here, including detailed subject-specific introductions. It's crucial that you review this presentation before our introductory session on August 30th. This will ensure you're well-prepared and able to make the most of the session by addressing any remaining questions you might have. We look forward to welcoming you and supporting your academic journey at the University of Mannheim!