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Research
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Web-based Systems (Prof. Bizer)
Data Analytics (Prof. Gemulla)
Web Data Mining (Prof. Paulheim)
Natural Language Processing and Information Retrieval (Prof. Ponzetto)
Artificial Intelligence (Prof. Stuckenschmidt)
Master Thesis Topics in Artificial Intelligence
Process Analytics (Prof. Van der Aa)
Computer Vision & Machine Learning (Prof. Dr.-Ing. Margret Keuper)
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Current Projects
Completed Projects
Resources
People
Professors
Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr.-Ing. Margret Keuper
Prof. Dr. Heiko Paulheim
Prof. Dr. Simone Paolo Ponzetto
Prof. Dr. Heiner Stuckenschmidt
Prof. Dr. Philipp Kellmeyer
Dr. Sven Hertling
Researchers
Postdoctoral Research Fellows
Dr. Juan Cano de Benito
Dr. Ralph Peeters
Daniel Ruffinelli
Dr. Ines Rehbein
Dr. Christian Meilicke
Rita Torres de Sousa
PhD Students
Yuxuan Zhou
Tejaswini Medi
Aaron Steiner
Daniel Kerger
Shashank
Katharina Prasse
Mishal Fatima
Keyvan Amiri Elyasi
Darshit Pandya
Alexander Bubak
Patrick Betz
Lea Cohausz
Andreea Iana
Jakob Kappenberger
Christopher Klamm
Julie Naegelen
Keti Korini
Franz Krause
Steffen Jung
Alexander Kraus
Ricarda Link
Ines Reinig
Sotaro Takeshita
Simon Forbat
Julia Gastinger
Affiliated PhD Students
Patrick Müller
Administration
Alumni
Alexander Brinkmann
Dr. Federico Nanni
Dr. Melisachew Wudage Chekol
Dr. Ioana Hulpus
Samuel Broscheit
Dr. Chia-Chien Hung
Dr. Robert Litschko
Adrian Rebmann
Dr. Michael Schlechtinger
Fabian David Schmidt
Dr. Adrian Kochsiek
Dr. Nicolas Heist
Prof. Dr. Paul Swoboda
Dr. Pedro Ortiz Suarez
Dr. Sarah Alturki
Dr. Jovita Lukasik
Dr. Amirhossein Kardoost
Kiril Gashteovski
Prof. Dr. Goran Glavaš
Dr. Anna Primpeli
Dr. Anne Lauscher
Dr. Taha Alhersh
Dr. Jakob Huber
Dr. Jonathan Kobbe
Dr. Timo Sztyler
Dr. Dmitry Ustalov
Dr. Oliver Lehmberg
Dr. Yaser Oulabi
Alexander Diete
Dr. Kilian Theil
Career
Teaching
Large Computations
Lecture Videos
Thesis Guidelines
Course Details
Courses for Master Candidates
IE 500 Data Mining
IE 560 Decision Support
DS 203: Responsible AI
IE 650 Knowledge Graphs
IE 661 Text Analytics
IE 663 Information Retrieval and Web Search
IE 670 Web Data Integration
IE 671 Web Mining
IE 675b Machine Learning
IE 678 Deep Learning
IE 686 Large Language Models and Agents
IE 695 Reinforcement Learning
IE 696 Advanced Methods in Text Analytics
IE 689 Relational Learning
IE 692 Advanced Process Mining
IE 694 Industrial Applications of Artificial Intelligence
CS 560 Large-Scale Data Management
CS 460 Databases for Data Scientists
CS 646 Higher Level Computer Vision
CS 668 Generative Computer vision Models
CS 647 Image Processing
CS 704 Artificial Intelligence Seminar
CS 704 Social Simulation Seminar
CS 704 Traffic Forecasting with Neural Networks Seminar
CS 709 Text Analytics Seminar
CS 710 Seminar on Knowledge Graphs and Large Language Models
CS 715: Seminar on Solving Complex Tasks using Large Language Models
CS 717: Seminar on Computer Vision
SM 459: Seminar on Computer Vision
CS 718 AI and Data Science in Fiction and Society
CS 719 Process Analysis Seminar
Data Analytics Team Project – Your Project, Your Team
Colloquium
Team Projects
CS 717: Seminar on Causality and Neurosymbolic Learning
Course Archive
HWS25
Data Analytics Team Project – Your Project, Your Team
FSS 2025
HWS 2024
FSS 2024
HWS 2023
FSS 2023
HWS 2022
FSS 2022
HWS 2021
SM 445/
CS 707 Data and Web Science Seminar
FSS 2021
HWS 2020
FSS 2020
HWS 2019
HWS 2018
FSS 2018
FSS 2019
Courses for Bachelor Candidates
CS 303 Praktische Informatik II
SM 445 Data and Web Science Seminar
SM 451 Seminar Ethical AI
Wirtschaftsinformatik II
Einführung in Data Science
Künstliche Intelligenz
Wirtschaftsinformatik für WiPäds
Wirtschaftsinformatik für BaKuWis
KI Seminar
Course Archive
FSS 2025
HWS 2024
FSS 2024
HWS 2023
FSS 2023
HWS 2022
FSS 2022
HWS 2021
FSS 2021
HWS 2020
FSS 2020
HWS 2019
FSS 2019
HWS 2018
FSS 2018
HWS 2017
Courses for PhD Candidates
Colloquium FSS2023
Computational Text Analysis
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Universität Mannheim
Data and Web Science Group
Teaching
Course Details
Courses for Bachelor Candidates
Course Archive
FSS 2025
Bachelorkurse FSS 2025
CS 303: Praktische Informatik II
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