www.informatik.uni-wuerzburg.de
Open in
urlscan Pro
132.187.1.115
Public Scan
Submitted URL: http://professor-x.de/
Effective URL: https://www.informatik.uni-wuerzburg.de/datascience/
Submission: On November 21 via manual from DE — Scanned from DE
Effective URL: https://www.informatik.uni-wuerzburg.de/datascience/
Submission: On November 21 via manual from DE — Scanned from DE
Form analysis 2 forms found in the DOM
https://www.uni-wuerzburg.de/suche/
<form action="https://www.uni-wuerzburg.de/suche/" class="page-header__search-form" role="search">
<input type="hidden" name="ie" value="utf-8">
<input type="hidden" name="as_sitesearch" value="www.informatik.uni-wuerzburg.de//datascience">
<div class="page-header__search-form-input">
<input type="text" name="q" title="" class="page-header__search-input page-header__search-input-de" aria-label="Suche auf Webseite mit Google">
<!-- Some IE does not submit a form without a submit button -->
<input type="submit" value="Suche absenden" style="text-indent:-9999px" class="page-header__search-form-submit">
</div>
</form>https://www.uni-wuerzburg.de/suche/
<form action="https://www.uni-wuerzburg.de/suche/" class="page-header__search-form" role="search">
<input type="hidden" name="ie" value="utf-8">
<input type="hidden" name="as_sitesearch" value="www.informatik.uni-wuerzburg.de//datascience">
<div class="page-header__search-form-input">
<input type="text" name="q" title="" class="page-header__search-input page-header__search-input-de" aria-label="Suche auf Webseite mit Google">
<!-- Some IE does not submit a form without a submit button -->
<input type="submit" value="Suche absenden" style="text-indent:-9999px" class="page-header__search-form-submit">
</div>
</form>Text Content
Menu
* Home
* News
* Research
* Projects
* Lectures
* Theses & Practica
* Staff
* Open Positions
News
* Archiv
Research
* Publications
* Datasets
* Tools and Webpages
Datasets
* DynaBench
* NIDS-DS
* netflow-gan
* HarryMotions
Projects
* Natural Language Processing
* ML for Ecosystems and Climate Modeling
* ML on Publication Data
* ML for Recommender Systems
* Physics Informed Deep Learning
* ML for Network Security & Fraud Detection
* ML for Medical & Biological Data
Natural Language Processing
* LitBERT
* KILiMod
* MOTIV
* Detecting Scenes in Fiction
* Machine Learning and Knowledge Graphs
* Analysing Comments on Twitch.tv
* CLiGS (concluded)
* Kallimachos (concluded)
Kallimachos (concluded)
* Kallimachos - Publications
* German Novel Dataset
* TIR2015 Genre data
ML for Ecosystems and Climate Modeling
* BigData@Geo 2.0
* BigData@Geo
* BeeConnected
* we4bee
* p2Map (concluded)
* EveryAware (concluded)
ML on Publication Data
* BibSonomy
* HydrAS
* REGIO (concluded)
* PUMA (concluded)
* PoSTs I & II (concluded)
BibSonomy
* Publications
PoSTs I & II (concluded)
* Publications
* Bib100
ML for Recommender Systems
* Publications
* adidas (concluded)
Physics Informed Deep Learning
* MAGNET
* P-BIM
* KI@FlowChief
* AI@Knauf
* Mozart & KI (concluded)
Mozart & KI (concluded)
* Mozart Genom Web-App
ML for Network Security & Fraud Detection
* Occupational Fraud Detection
* DeepScan (concluded)
DeepScan (concluded)
* ERP Fraud Data
* ERP Fraud Game
* XAI Evaluation Datasets
ML for Medical & Biological Data
* TissueNet
* DZ.PTM
Lectures
* 2023 WS
* 2023 SS
* 2022 WS
* 2022 SS
* 2021 WS
* 2021 SS
* 2020 WS
* 2020 SS
* Archiv
2023 WS
* Machine Learning for Time Series and Anomaly Detection
* Sprachverarbeitung und Text Mining
* Grundlagen der Algorithmen und Datenstrukturen
* Interactive Artificial Intelligence
* Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
* Praktikum: Natural Language Processing
* XtAI Lab
2023 SS
* Data Science (ehemals Data Mining)
* Machine Learning for Natural Language Processing
* Praktikum: Machine Learning for Time Series Analysis
* Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
* XtAI Lab
2022 WS
* Grundlagen der Algorithmen und Datenstrukturen
* Interactive Artificial Intelligence
* Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
* Praktikum: Natural Language Processing
* XtAI Lab
* Datenbanken
2022 SS
* Machine Learning for Natural Language Processing
* Information Retrieval
* Data Mining
* Praktikum: Machine Learning for Time Series Analysis
* Seminar: Ausgewählte Themen des Machine Learning (BA)
* Seminar: Ausgewählte Themen des Machine Learning (MA)
* XtAI Lab
2021 WS
* Grundlagen der Algorithmen und Datenstrukturen
* Sprachverarbeitung und Text Mining
* Interactive Artificial Intelligence
* Praktikum: Natural Language Processing
* Seminar: Ausgewählte Themen des Machine Learning (BA)
* Seminar: Ausgewählte Themen des Machine Learning (MA)
* XtAI Lab
2021 SS
* Machine Learning for Natural Language Processing
* Information Retrieval
* Data Mining
* Praktikum: Machine Learning for Time Series Analysis
* Praktikum: Machine Learning for Recommendation
* Seminar: Ausgewählte Themen des Machine Learning (BA)
* Seminar: Ausgewählte Themen des Machine Learning (MA)
2020 WS
* Grundlagen der Algorithmen und Datenstrukturen
* Praktikum: Natural Language Processing
* Datenbanken
* Seminar: Ausgewählte Themen des Machine Learning
* Seminar: Musik und Maschinelles Lernen
2020 SS
* Praktikum: Natural Language Processing
* Seminar: Ausgewählte Themen des Machine Learning
* Information Retrieval
* Data Mining
* Machine Learning for Natural Language Processing
Archiv
* 2019 WS
* 2019 SS
* 2018 WS
* 2018 SS
* 2017 WS
* 2017 SS
* 2016 WS
* 2016 SS
* 2015 WS
* 2015 SS
* 2014 WS
* 2014 SS
* 2013 WS
* 2013 SS
* 2012 WS
* 2012 SS
* 2011 WS
2019 WS
* Grundlagen der Algorithmen und Datenstrukturen
* Informatik und Ethik
* Praktikum: Natural Language Processing
* Seminar: Ausgewählte Themen des Machine Learning
* Sprachverarbeitung und Text Mining
2019 SS
* Praktikum: Natural Language Processing
* Machine Learning for Natural Language Processing
* Seminar: Ausgewählte Themen des Machine Learning
* Data Mining
* Information Retrieval
2018 WS
* Grundlagen der Algorithmen und Datenstrukturen
* Datenbanken
* Seminar: Ausgewählte Themen des Machine Learning
* Praktikum: Natural Language Processing
2018 SS
* Data Mining
* Information Retrieval
* Machine Learning for Natural Language Processing
* Seminar: Ausgewählte Themen des Machine Learning
* Praktikum: Natural Language Processing
2017 WS
* Seminar: Ausgewählte Themen des Machine Learning
2017 SS
* Einführendes Programmierpraktikum (Wiinf/MCS/WiMa)
* Data Mining
* Information Retrieval
* Seminar: Ausgewählte Themen des Web 2.0
2016 WS
* Einführendes Programmierpraktikum (Wiinf/MCS/WiMa)
* Sprachverarbeitung und Text Mining
* Grundlagen der Algorithmen und Datenstrukturen
* Seminar: Ausgewählte Themen des Web 2.0
2016 SS
* Einführendes Programmierpraktikum (Wiinf/MCS/WiMa)
* Data Mining
* Information Retrieval
* Seminar: Ausgewählte Themen des Web 2.0
2015 WS
* Grundlagen der Algorithmen und Datenstrukturen
* Seminar: Ausgewählte Themen des Web 2.0
2015 SS
* Data Mining
* Information Retrieval
* Seminar: Ausgewählte Themen des Web 2.0
2014 WS
* Grundlagen der Algorithmen und Datenstrukturen
* Seminar: Ausgewählte Themen des Web 2.0
2014 SS
* Data Mining
* Information Retrieval
* Seminar: Ausgewählte Themen des Web 2.0
2013 WS
* Algorithmen und Datenstrukturen für Wirtschaftsinformatiker und
Mensch-Computer-Systeme
* Seminar: Ausgewählte Themen des Web 2.0
2013 SS
* Data Mining
* Information Retrieval
* Seminar: Ausgewählte Themen des Web 2.0
2012 WS
* Seminar: Ausgewählte Themen des Web 2.0
2012 SS
* Data Mining
* Information Retrieval
* Seminar: Ausgewählte Themen des Web 2.0
2011 WS
* Seminar
Theses & Practica
* Open Topics
* Completed Theses
Open Topics
* Natural Language Processing
* ML for Ecosystems & Climate Modeling
* ML for Publication Data
* Recommender Systems
* Physics Informed Deep Learning
* Security & Fraud
* ML for Biological & Medical Data
* Misc.
Staff
* Prof. Dr. Andreas Hotho
* Dr.-Ing. Anna Krause
* Dr. Melanie Schaller
* Dr. Daniel Schlör
* Lena Hettinger, Dipl.-Math.
* Padraig Davidson, M.Sc.
* Andrzej Dulny, M.Sc.
* Elisabeth Fischer, M.Sc.
* Pascal Janetzky, M.Sc.
* Jonas Kaiser, M.Sc.
* Tobias Koopmann, M.Sc.
* Janna Omeliyanenko, M.Sc.
* Jan Pfister, M.Sc.
* Martin Rackl, M.Sc.
* Julian Tritscher, M.Sc.
* Maximilian Wolf, M.Sc.
* Sebastian Wankerl, M.Sc.
* Albin Zehe, M.Sc.
* Former staff
Prof. Dr. Andreas Hotho
* Publications by Andreas Hotho
Dr.-Ing. Anna Krause
* Deep Learning for Dynamical Systems Group
Albin Zehe, M.Sc.
* Publications
Former staff
* Konstantin Kobs, M.Sc.
* Alexander Dallmann, Dipl. Inf.
* Dr. Michael Steininger, M.Sc.
* Florian Buckermann, M.Sc.
* Daniel Zoller, M.Sc.
* Florian Lautenschlager, M.Sc.
* Dr. Martin Becker
* Dr. Thomas Niebler
Daniel Zoller, M.Sc.
* Publications
* Teaching
Dr. Thomas Niebler
* Teaching
* Publications
* Supplementary Materials
Open Positions
* Open Position for Doctoral Researchers (m/w/d)
Intern
* Intern
*
*
*
*
* Home
* News
* Archiv
* Research
* Publications
* Datasets
* Tools and Webpages
* Projects
* Natural Language Processing
* ML for Ecosystems and Climate Modeling
* ML on Publication Data
* ML for Recommender Systems
* Physics Informed Deep Learning
* ML for Network Security & Fraud Detection
* ML for Medical & Biological Data
* Lectures
* 2023 WS
* 2023 SS
* 2022 WS
* 2022 SS
* 2021 WS
* 2021 SS
* 2020 WS
* 2020 SS
* Archiv
* Theses & Practica
* Open Topics
* Completed Theses
* Staff
* Prof. Dr. Andreas Hotho
* Dr.-Ing. Anna Krause
* Dr. Melanie Schaller
* Dr. Daniel Schlör
* Lena Hettinger, Dipl.-Math.
* Padraig Davidson, M.Sc.
* Andrzej Dulny, M.Sc.
* Elisabeth Fischer, M.Sc.
* Pascal Janetzky, M.Sc.
* Jonas Kaiser, M.Sc.
* Tobias Koopmann, M.Sc.
* Janna Omeliyanenko, M.Sc.
* Jan Pfister, M.Sc.
* Martin Rackl, M.Sc.
* Julian Tritscher, M.Sc.
* Maximilian Wolf, M.Sc.
* Sebastian Wankerl, M.Sc.
* Albin Zehe, M.Sc.
* Former staff
* Open Positions
* Open Position for Doctoral Researchers (m/w/d)
Animation stoppen
DATA SCIENCE CHAIR
DATA SCIENCE CHAIR
ABOUT US
The Data Science Chair (computer science institute JMU) is a highly
interdisciplinary group of researchers led by Prof. Andreas Hotho and member of
CAIDAS. We are active in data science and machine learning research with focus
on deep learning and applications in multiple domains.
ADDRESS
WE HAVE MOVED! WE'RE NOW LOCATED AT:
University of Würzburg
Data Science Chair (Computer Science X)
Emil-Fischer-Straße 50
97074 Würzburg
Phone.: +49 931 31-89675
sekretariat.lsx@uni-wuerzburg.de
WE ARE PART OF:
* Faculty of Mathematics and Computer Science
* Institute of Computer Science
* CAIDAS
LATEST PUBLICATIONS
* Optimizing Medical Service Request Processes through Language Modeling and
Semantic Search. Schl{ö}r, Daniel; Pfister, Jan; Hotho, Andreas. In 2023 the
7th International Conference on Medical and Health Informatics (ICMHI), of
ICMHI 2023, pp. 136–141. Association for Computing Machinery, Kyoto, Japan,
2023
* [ Download ]
* [ BibSonomy-Post ]
* Occupational Fraud Detection through Agent-based Data Generation. Tritscher,
Julian; Roos, Alexander; Schlör, Daniel; Hotho, Andreas; Krause, Anna. In The
8th Workshop on MIning DAta for financial applicationS MIDAS 2023 - to
appear. 2023
* [ Download ]
* [ BibSonomy-Post ]
* Feature relevance XAI in anomaly detection: Reviewing approaches and
challenges. Tritscher, Julian; Krause, Anna; Hotho, Andreas. In Frontiers in
Artificial Intelligence, Vol. 6. 2023
* [ Download ]
* [ BibSonomy-Post ]
* Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants
on Usage Behavior, User Experience, and Social Perceptions. Wienrich,
Carolin; Carolus, Astrid; Markus, André; Augustin, Yannik; Pfister, Jan;
Hotho, Andreas. In Computers, Vol. 12, Issue 4. 2023
* [ Download ]
* [ BibSonomy-Post ]
* Towards a Computational Analysis of Suspense: Detecting Dangerous Situations.
Zehe, Albin; Schröter, Julian; Hotho, Andreas. 2023
* [ Download ]
* [ BibSonomy-Post ]
* Can Neural Networks Distinguish High-school Level Mathematical Concepts?.
Wankerl, Sebastian; Dulny, Andrzej; Götz, Gerhard; Hotho, Andreas. In
Accepted at ICDM. 2023
* [ BibSonomy-Post ]
* Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data.
Janetzky, Pascal; Schaller, Melanie; Krause, Anna; Hotho, Andreas. In 2023
30th International Conference on Systems, Signals and Image Processing
(IWSSIP), pp. 1–5. 2023
* [ Download ]
* [ BibSonomy-Post ]
* CapsKG: Enabling Continual Knowledge Integration in Language Models for
Automatic Knowledge Graph Completion. Omeliyanenko, Janna; Zehe, Albin;
Hotho, Andreas; Schlör, Daniel. In International Semantic Web Conference ISWC
2023, to appear. 2023
* [ Download ]
* [ BibSonomy-Post ]
* Evaluating feature relevance XAI in network intrusion detection. Tritscher,
Julian; Wolf, Maximilian; Hotho, Andreas; Schlör, Daniel. In The World
Conference on eXplainable Artificial Intelligence (xAI 2023) - to appear.
2023
* [ Download ]
* [ BibSonomy-Post ]
* Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions. Wangsadirdja,
Dirk; Pfister, Jan; Kobs, Konstantin; Hotho, Andreas. In Proceedings of the
The 17th International Workshop on Semantic Evaluation (SemEval-2023), pp.
1090–1095. Association for Computational Linguistics, Toronto, Canada, 2023
* [ Download ]
* [ BibSonomy-Post ]
* ConvMOS: climate model output statistics with deep learning. Steininger,
Michael; Abel, Daniel; Ziegler, Katrin; Krause, Anna; Paeth, Heiko; Hotho,
Andreas. In Data Mining and Knowledge Discovery, Vol. 37, Issue 1, pp.
136–166. 2023
* [ Download ]
* [ BibSonomy-Post ]
* Higher-Order DeepTrails: Unified Approach to *Trails. Koopmann, Tobias;
Pfister, Jan; Markus, André; Carolus, Astrid; Wienrich, Carolin; Hotho,
Andreas. In Proceedings of the {LWDA} 2023 Workshops: FGWM, FGKD, and FGDB,
Marburg (Germany), Oktober 9-11th, 2023, of {CEUR} Workshop Proceedings, M.
Leyer, J. Wichmann (eds.). CEUR-WS.org, 2023
* [ BibSonomy-Post ]
* Automatic Speech Detection on a Smart Beehive’s Raspberry Pi. Janetzky,
Pascal; Lissmann, Philipp; Hotho, Andreas; Krause, Anna. In LWDA 2023 -
Learning, Knowledge, Data, and Analysis. 2023
* [ BibSonomy-Post ]
* DynaBench: A Benchmark Dataset for Learning Dynamical Systems from
Low-Resolution Data. Dulny, Andrzej; Hotho, Andreas; Krause, Anna. In Machine
Learning and Knowledge Discovery in Databases: Research Track, D. Koutra, C.
Plant, M. Gomez Rodriguez, E. Baralis, F. Bonchi (eds.), pp. 438–455.
Springer Nature Switzerland, Cham, 2023
* [ Download ]
* [ BibSonomy-Post ]
* TaylorPDENet: Learning PDEs from non-grid Data. Heinisch, Paul; Dulny,
Andrzej; Krause, Anna; Hotho, Andreas. 2023
* [ Download ]
* [ BibSonomy-Post ]
* Can Neural Networks Distinguish High-school Level Mathematical Concepts?.
Wankerl, Sebastian; Dulny, Andrzej; Goetz, Gerhard; Hotho, Andreas. In
Accepted at ICDM. 2023
* [ BibSonomy-Post ]
* Liquor-HGNN: A heterogeneous graph neural network for leakage detection in
water distribution networks. Schaller, Melanie; Steininger, Michael; Dulny,
Andrzej; Schlör, Daniel; Hotho, Andreas. In LWDA’23: Lernen, Wissen, Daten,
Analysen. October 09--11, 2023, Marburg, Germany, M. Leyer (ed.). 2023
* [ Download ]
* [ BibSonomy-Post ]
* Towards Responsible Medical Diagnostics Recommendation Systems. Schl{{ö}}r,
Daniel; Hotho, Andreas. In CoRR, Vol. abs/2209.03760. 2022
* [ BibSonomy-Post ]
* SenPoi at SemEval-2022 Task 10: Point me to your Opinion, SenPoi. Pfister,
Jan; Wankerl, Sebastian; Hotho, Andreas. In Proceedings of the 16th
International Workshop on Semantic Evaluation, SemEval@NAACL 2022, Seattle,
Washington, United States, July 14-15, 2022, G. Emerson, N. Schluter, G.
Stanovsky, R. Kumar, A. Palmer, N. Schneider, S. Singh, S. Ratan (eds.), pp.
1313–1323. Association for Computational Linguistics, 2022
* [ BibSonomy-Post ]
* Do Different Deep Metric Learning Losses Lead to Similar Learned Features?.
Kobs, Konstantin; Steininger, Michael; Dulny, Andrzej; Hotho, Andreas. In
CoRR, Vol. abs/2205.02698. 2022
* [ BibSonomy-Post ]
* The Impact of Different System Call Representations on Intrusion Detection.
Wunderlich, Sarah; Ring, Markus; Landes, Dieter; Hotho, Andreas. In Log. J.
{IGPL}, Vol. 30, Issue 2, pp. 239–251. 2022
* [ BibSonomy-Post ]
* On Learning Hierarchical Embeddings from Encrypted Network Traffic. Wehner,
Nikolas; Ring, Markus; Sch{{ü}}ler, Joshua; Hotho, Andreas; Hoßfeld, Tobias;
Seufert, Michael. In 2022 {IEEE/IFIP} Network Operations and Management
Symposium, {NOMS} 2022, Budapest, Hungary, April 25-29, 2022, pp. 1–7.
{IEEE}, 2022
* [ BibSonomy-Post ]
* Comparison of Data Representations and Machine Learning Architectures for
User Identification on Arbitrary Motion Sequences. Schell, Christian; Hotho,
Andreas; Latoschik, Marc Erich. In CoRR, Vol. abs/2210.00527. 2022
* [ BibSonomy-Post ]
* On Background Bias in Deep Metric Learning. Kobs, Konstantin; Hotho, Andreas.
In CoRR, Vol. abs/2210.01615. 2022
* [ BibSonomy-Post ]
* CLIP knows image aesthetics. Hentschel, Simon; Kobs, Konstantin; Hotho,
Andreas. In Frontiers in artificial intelligence, Vol. 5, p. 976235. 2022
* [ BibSonomy-Post ]
* Towards Explainable Occupational Fraud Detection. Tritscher, Julian; Schlör,
Daniel; Gwinner, Fabian; Krause, Anna; Hotho, Andreas. In Machine Learning
and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD
2022, Vol. Communications in Computer and Information Science, Issue 1753,
pp. 79–96. 2022
* [ Download ]
* [ BibSonomy-Post ]
* A sensor-driven approach for analyzing a beehive’s state. Davidson, Padraig;
Hotho, Andreas; Krause, Anna. 2022
* [ BibSonomy-Post ]
* Anomaly Detection in Beehives: An Algorithm Comparison. Davidson, Padraig;
Steininger, Michael; Lautenschlager, Florian; Krause, Anna; Hotho, Andreas.
In International Conference on Sensor Networks, Vol. 1674 of Communications
in Computer and Information Science, A. Ahrens, R. Prasad, C.
Benavente-Peces, N. Ansari (eds.), pp. 1–20. Springer, 2021
* [ Download ]
* [ BibSonomy-Post ]
* A financial game with opportunities for fraud. Tritscher, Julian; Krause,
Anna; Schl{ö}r, Daniel; Gwinner, Fabian; von Mammen, Sebastian; Hotho,
Andreas. In IEE COG 2021, Vol. 2021. 2021
* [ Download ]
* [ BibSonomy-Post ]
* Classification of text-types in german novels. Schl{ö}r, D; Sch{ö}ch, C;
Hotho, A. In Digital Humanities 2019: Conference Abstracts. 2019
* [ Download ]
* [ BibSonomy-Post ]
NEWS
THE ERLANGEN NATIONAL HIGH PERFORMANCE COMPUTING CENTER ACCEPTED OUR APPLICATION
FOR ADDITIONAL COMPUTE RESOURCES FOR THE MAGNET-PROJECT
The MAGNET4Cardiac7T Project has been granted 40.000 GPU-hours in the Erlangen
National High Performance Computing Center for training several deep learning
models for simulating electromagnetic fields.
Mehr
OUR BENCHMARK DATASET DYNABENCH IS NOW AVAILABLE FROM WUEDATA - THE RESEARCH
DATA REPOSITORY OF THE JULIUS-MAXIMILIANS-UNIVERSITÄT WÜRZBURG.
The dataset of 1TB has been published in our University's research repository
and is available for download.
Mehr
OUR PAPER "WHO IS ALYX? A NEW BEHAVIORAL BIOMETRIC DATASET FOR USER
IDENTIFICATION IN XR" HAS BEEN ACCEPTED AT FRONTIERS IN VIRTUAL REALITY
In this joint work with the Chair of Human-Computer Interaction (LS IX) , we
introduce a new dataset 'Who is Alyx?' with behaviometric and biometric data
from VR users to address a critical issue in this field, which is designed for
investigating user identification based on motion in XR environments.
Mehr
RESEARCH
Find out more about our research topics!
PROJECTS
Our projects and cooperations!
* Current Projects
* Concluded Projects
PUBLICATIONS
Check out our publication records!
STAFF
Get to know us!
* Head of Chair: Prof. Andreas Hotho
* Dr. Anna Krause
* Dr. Daniel Schlör
* Dr. Melanie Schaller
TEACHING
Check out our lectures and open topics for theses and practica!
* Lectures
* Theses & Practica
JOBS
We offer various jobs for interested BA and MA students - research related, help
with lectures or administrative tasks.
HINWEIS ZUM DATENSCHUTZ
Mit 'OK' verlassen Sie die Seiten der Universität Würzburg und werden zu
Facebook weitergeleitet. Informationen zu den dort erfassten Daten und deren
Verarbeitung finden Sie in deren Datenschutzerklärung.
OKAbbrechen
HINWEIS ZUM DATENSCHUTZ
Mit 'OK' verlassen Sie die Seiten der Universität Würzburg und werden zu Twitter
weitergeleitet. Informationen zu den dort erfassten Daten und deren Verarbeitung
finden Sie in deren Datenschutzerklärung.
OKAbbrechen
Social Media
* Facebook
* Twitter
Kontakt
Lehrstuhl für Informatik X (Data Science)
Campus Hubland Nord
Emil-Fischer-Straße 50
97074 Würzburg
E-Mail
Suche Ansprechpartner
Anfahrt
* Hubland Nord
Hubland Nord
* Home
* The University
* Studying at JMU
* Research
* Teaching
* Institutions
* International
* The University
* News
* Events
* Dates and Deadlines
* Degree Programmes and Subjects
* Vacancies
* Staff Members
* Glossary of Administrative Terms
* Services
* University Library
* IT Services
* University Sport
* Academic Advisory Service
* Examination Office
* Student Affairs
* Student Representation
* Career Centre
* Your JMU
* WueStudy
* WueCampus
* Class Schedule
* Online-Enrolment
* Library Catalogue
* Contact
* Phone and Address Directory
* How to Find Us
* Press
* Academic Advisory Service
* Technical Maintenance Service
* Need help quickly?
* Seitenoptionen
* Sitemap
* Bildnachweise
* Nach oben
Letzte Änderung:
20.10.2023
Seite: 121665/773
BILDNACHWEISE
Bild: Colourbox.de
projects | Bild: Colourbox.de
Bild: Picture by Colourbox.de
job offers | Bild: LS X @UniWue
Bild: Kartenbild hergestellt aus OpenStreetMap-Daten | Lizenz: Open Database
License (ODbL) | © OpenStreetMap-Mitwirkende
* Impressum
* Datenschutz
* Barrierefreiheit