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1. Fakultät Statistik
2. News: 6/14/2024
"Causality" professorship at the Research Center Trustworthy Data Science and Security filled

networks in observational data. His work in this area is interdisciplinary and involves collaboration with medical professionals, for example: When looking at gene activity data, it is often unclear whether [...] Intelligent Systems (ELLIS) since 2024. Research Center of the UA Ruhr The Research Center Trustworthy Data Science and Security is a cross-university research center of the University Alliance Ruhr. On the initiative [...] erroneous conclusion that IQ influences weight. It is good at recognizing patterns in a large amount of data, but often confuses statistical correlations with causality. To avoid such errors and make pattern …
1. Master of Science (M.Sc.)
Medical Physics and Physics of Living Systems

living systems with the tools of natural science, if you want to develop new avenues to diagnose cancer and apply physical principles to treat it, the Master’s in Medical Physics and Physics of Living [...] One of the most important questions in science is the understanding of our body. How does the heart beat, the lungs breath and how do 1 billion cells act together to form that thing that we call a brain …
1. LWuS
2. Homepage
3. Chair
4. Team
Dr. Kai-Robin Lange - TU Dortmund University

Buisness and Social Statistics 2019-2021: M.Sc. Statistics with minor in Computer Science, TU Dortmund University Master Thesis: Resampling strategies for unsupervised sentiment analysis using lexicon-based [...] Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT) 2024. Amsterdam, Netherlands (05/2024). "SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments" [...] lexicon-based text embedding methods 2016-2019: B.Sc. Statistics with minor in Computer Science, TU Dortmund University Research Interests Research in Natural Language Processing Content analysis of political …
1. RDM
2. RDM at TU Dortmund
3. Data Champions
Data Champions - Alexander Schenk and Julia Dreilich

DATA CHAMPION: RESEARCH DATA MANAGEMENT AT THE INSTITUTE OF SPORT AND SPORT SCIENCE "The biggest advantage of electronic lab notebooks is that everything is bundled in one place" © Hesham Elsherif/TU [...] of Sport and Sports Science Further information: About research data management at TU Dortmund University About eLabFTW Dr. Alexander Schenk and Julia Dreilich are portrayed as Data Champions because they [...] eLabFTW at the Institute of Sport and Sport Science. Dr. Alexander Schenk is laboratory head of the sports medicine laboratory at the Institute of Sport and Sport Science. Together with scientific associate Julia …
1. STATML
2. Curriculum Vitae
Short Vita

Statistics (TU Dortmund) and Research Center Trustworthy Data Science and Security Oct. 2021 - Apr. 2023 Full professorship (W3) for Statistics and Data Science, Humboldt-Universität zu Berlin Nov. 2019 - Apr. [...] 2023 Emmy Noether Research Group Leader in Statistics & Data Science, Humboldt-Universität zu Berlin Oct. 2018 - Sep. 2021 (Non-tenured) Assistant professorship (W1) for Applied Statistics, Humboldt- [...] Mar. 2012 - Dec. 2014 Doctoral studies in Mathematics PhD school Georg-August University School of Science (GAUSS) Georg-August-Universität Göttingen Jan. 2012 Diploma in Mathematics with a minor in Physics …
1. IPS
2. Publications
Lectures

(2019): Success Factors for Industrial Data Science Projects. IDS - Industrial Data Science Conference. Dortmund, 13.03.2019. Deuse, Jochen (2019): Industrial Data Science. Wissensgewinn durch Datenanalyse [...] towards Industrial Data Science. IDS - Industrial Data Science Conference. IPS. Dortmund, 05.09.2017. Deuse, Jochen (2017): From Industrial Engineering towards Industrial Data Science. AIM 2017 Conference [...] Combining Industrial Domain Knowledge with Data Science. IDS - Industrial Data Science Conference. Dortmund, 21.10.2020. Deuse, Jochen; Wocker, Michael (2020): The next step after Predictive - "Prescriptive …
1. Master of Science (M.Sc.)
Computer Science

The Master's degree course in Computer Science at TU Dortmund University offers an excellent opportunity to specialize further in this exciting field. Students can set an individual study focus through …
1. WiWi
2. Prospective Students
Bachelor Business Administration and Economics

helping you succeed. Master's program Do you want to prepare yourself for challenging management tasks? Deepen your knowledge in a specialist area? Or are you interested in a career in science? There are many [...] many good reasons for a Master's degree! With a Master's in Business Administration and Economics at TU Dortmund University, you can choose from five study profiles and tailor your studies in accordance with [...] choosing a competence profile. Whether you're looking to follow up your bachelor's studies with a master's degree or get started on your career straight away - our degree program will have you ready for …
1. Computer Science
2. Studies
3. Before studies
4. Entry
5. Lectures
DAP 1

Computer Science and Applied Computer Science Module INF-BSc-102: Data Structures, Algorithms and Programming 1 (DAP 1) Subject Computer Science of the teaching bachelor programs Module INF-BL-101: Data Structures [...] Lectures Data Structures, Algorithms and Programming 1 (DAP1) The module Data Structures Algorithms and Programming 1 (DAP1) is recommended for all students of the bachelor programs Computer Science and Applied [...] Applied Computer Science as well as students of the subject Computer Science of the teaching bachelor programs in the first semester at the beginning of the winter semester. It consists of a lecture, an …
1. AI
2. Event: 2/4/2026
Lessons from Synthetic Health Data Generation: Fidelity, Privacy, Augmentation & Time

have arisen from our synthetic data work are issues with bias, even when working with comprehensive national data, and with concept drift where subsequent batches of data move away from current models and [...] hofer-Strasse 25, 3rd floor Abstract: Primary healthcare care data offers huge value in modelling disease and illness. However, this data holds extremely private information about individuals and privacy [...] limit the wide-spread use of such data, both by public research institutions and by the private health-tech sector. One possible solution is the use of synthetic data which mimics the underlying correlational …