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1. UF
2. Professorship
3. Teamdaten
Data Boban Petrovic

Work & Organizational, Applied Social and Clinical Psychology at the Saarland University, Master of Science Studies of Psychology at the University of Freiburg, Bachelor of Science Professional experience …
1. ETIT
2. Studies and Teaching
3. Degree programs
4. Master AR (from WiSe 2025/26)
Description of the Program and Major Fields

namely the Electrical Engineering and Information Technology (EIT), Mechanical Engineering (ME), Computer Science (CS), Bio- and Chemical Engineering (BCI), Mathematics (Math). As a surplus, renowned research [...] admission requirements, it is assumed that the students have basic knowledge in mathematics and computer science. For specialization, the elective course area offers three specialisations from the 2nd semester [...] of the teaching units of the faculties of Electrical Engineering and Information Technology, Computer Science, Bio- and Chemical Engineering, Mathematics and Mechanical Engineering. In the chosen specialization …
1. GRK 3043
2. Members and Organization
Principal investigators

Bäumer is a certified medical physicist with a long-standing background in nuclear physics, computer science, radiation detector development and testing, tomographic imaging, and proton therapy. He has [...] improve decision-making at the point-of-care. Jens is an expert in developing and applying cutting edge biomedical Computer Vision and NLP algorithms in real-world settings." Dr. Elisabeth Kreidt Department [...] Abdelkhalek Hammi is a medical physicist with expertise in proton transmission imaging and in computation physics to solve radiation oncology physics related problems, especially the range uncertainty …
1. FAIR
2. Navigation
3. About
Advisory Board

Data Science, Algorithm Design and Computational Theory Prof. Jeff M. Phillips, Ph.D. © University of Utah University of Utah Algorithms for Big Data, Geometric Data Analysis Educational Data Science Prof [...] special education and learning analytics), psychology, sociology, statistics, data science (including educational data science), and research methods. The board members ensure that FAIR focuses on cutting-edge [...] Ph.D. © The University of North Carolina at Chapel Hill The University of North Carolina Learning Sciences, Interventions Empirical Social Research Prof. Dr. Andreas Diekmann © Wissenschaftskolleg zu Berlin …
1. UB
2. News: 11/27/2020
New: AIS eLibrary

to Ursula Helmkamp , subject librarian for economics or Lukas Lerche , subject specialist for computer science. For members of the TU Dortmund University, access is also possible off campus . …
1. BCI
2. News: 10/9/2020
Faculty BCI receives accreditation certificates for its degree programs

The Accreditation Agency for Study Programs in Engineering, Computer Science and Mathematics e.V. (ASIIN) has now officially accredited the bachelor's and master's degree programs in bioengineering and …
1. Computer Science
2. Studies
During studies

Studies During study You have received a place at the Department of Computer Science of TU Dortmund University and want to get started now? Here you will find all important information from the beginning …
1. DAES
2. Beschäftigte
3. Wissenschaftliche Mitarbeiter
M.Sc. Samanta Scharmacher

Automation for Embedded Systems Group M.Sc. Samanta Scharmacher Technische Universität Dortmund Computer Science 12 Otto-Hahn-Str. 16 44227 Dortmund Room: E05 Phone: +49 231 755 6121 E-Mail Research Interests: …
1. Computer Science
2. News: 10/31/2025
Open day 2025

shape the future and what study opportunities TU Dortmund University offers. The Department of Computer Science will be there again this year with a great program! Click here for the program …
1. Compstat
2. Research
3. Projects
Intuitive Joint Priors for Bayesian Multilevel Models

Regression models are ubiquitous in the quantitative sciences making up a big part of all statistical analysis performed on data. In the quantitative sciences, data often contains multilevel structure, for example [...] are designed specifically to account for the nested structure in multilevel data and are a widely applied class of regression models. From a Bayesian perspective, the widespread success of MLMs can be explained [...] I error rates. To solve these challenges, this project aims to develop, evaluate, implement, and apply intuitive joint priors for Bayesian MLMs. We hypothesize that our developed priors will enable the …