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1. VM
2. Research
3. Research focus
4. Current Projects
ClusterSim

and sustainable research data management will be established during the project. In this context, data storage, structure, formatting and labeling are particularly important. Data is always of central importance [...] c goals is explorative data mining, which is used to group milling operations into classes on the basis of characteristics for each high-resolution sampling of the process data by applying clustering methods [...] application-specific data often inhibits new and further developments of methods. To address this issue and to contribute to increasing the availability of application-specific data sets, all process and …
1. LRE
2. News: 12/9/2024
Dr. Marcos Valdebenito delivers a plenary lecture at VibSys 2024

plenary lecture, entitled " Advanced Simulation Methods for Analysis and Design in Stochastic Linear Dynamics ", addressed a key challenge in the analysis of structural systems subjected to dynamic stochastic [...] Additionally, he addressed epistemic uncertainties, which arise from limited knowledge or incomplete data, highlighting the need for robust approaches to ensure reliable structural performance. By blending [...] studies, Dr. Valdebenito demonstrated the significant potential of these tools for advancing both the analysis and design of engineering systems. Photo credit: M.Sc. Eng. Anita Kaczor. Conference details sourced …
1. TRR 391
2. Research
3. Projects
A03

- Chair of Business and Social Statistics TU Dortmund University Summary In spatio-temporal data analysis structural assumptions on the covariance function, such as symmetry, (spatial) isotropy or various [...] assumptions to develop new and more efficient resampling-based inference procedures for the analysis of spatio-temporal data. We will develop statistical methods to quantify deviations from such assumptions and [...] A03 Resampling and model validation for spatio-temporal data A03 employs complexity-reducing structural assumptions to construct resampling-based inference procedures and develops statistical tools to …
1. Graduiertenzentrum
2. Doctoral researchers
Graduate Center: Transferable skills training

Education of the zhb. Data Science & Data Literacy The TU Dortmund - Center for Data Science & Simulation (DoDaS) offers a wide range of events in the fields of data science and data literacy. Innovation [...] and Analysis (SBAZ) for questions concerning statistical methods. An overview of the services offered can be found on the SBAZ website . The zhb regularly offers an introduction to multivariate data analysis [...] Young Researchers Colloquium | Dortmund - Center for Data Science and Simulation Eine regelmäßige Veranstaltungsreihe des TU Dortmund - Center for Data Science and Simulation (DoDaS). Start: 09/24/2024 End: …
1. STABI
2. Staff
3. Prof. Dr. Christine Müller (Seniorprofessor)
Software Packages

Journal of Multivariate Analysis 92, 359-385. Garlipp, T. and Müller, Ch.H. (2006). Detection of linear and circular shapes in image analysis. Computational Statistics and Data Analysis 51, 1479-1490. Garlipp [...] g M-Estimators. In: Daniel Baier and Klaus-Dieter Wernecke (eds.): Innovations in Classification, Data Science, and Information Systems. Springer-Verlag, Heidelberg, 38-45. Müller, Ch.H. and T. Garlipp [...] 55-86. T. Garlipp (2004). On robust jump detection in regression surfaces with applications to image analysis. Ph.D. thesis, University of Oldenburg, Germany. 1. edci.zip is an old zip file of the old Window …
1. TU Dortmund
2. News: 2/19/2021
Reliable Predictions of Coronavirus Infections

task, into which various types of data from sometimes small case analyses are fed. For example, predictive models are based on binary data (yes/no) and/or time-to-event data that are collected in clusters [...] the basis of existing data. “In the process, we want to minimize the risk of wrong decisions and evaluate the quality of our predictive models with the help of innovative analysis methods,” says Professor [...] can support decision-making in intensive care “The predictive models we develop are then tested on data sets, such as those currently being collected at Charité, for example,” says Professor Konietschke …
1. SAG
2. Research
3. Projects
GeReAlt

health and transitions into retirement. By combining sociological theories with empirical analysis of SOEP and SHARE data, she aims to identify mechanisms in the interplay between health and retirement trajectories [...] Sociology (M.Sc.) at the Catholic University of Leuven in Belgium focused on quantitative analysis and social data science. Since February 2025, he has been working as a research assistant in the GeReAlt [...] contribute her expertise on the social situation of older people and their living conditions to the analysis of pension policy and draw on her experience in the methods of empirical age(ing) research. Dr. …
1. RIM
2. Teaching
3. Student projects
4. Bachelor (F)
F06

n to make newly gained knowledge and data available to the general public. In order to perform an accuracy assessment of the prior digital satellite image analysis as well as to gain important local experience [...] ision-analysis Knowledge about the terms resilience and smart city Digital Satellite-based remote sensing techniques Planning and implementation of field researches Digital storytelling and data management [...] resilience capacity can be evaluated with appropriate scientific methods like Multi Criteria Decision Analysis (MCDA). By calculating and combining a priori defined indicators in a Geographic Information System …
1. IFS
2. Research
3. Research Projects
4. Past Projects
digiVL

2022 - 30.09.2024 Improving learning and teaching by using digital trace data in higher education (digiVL) We use innovative data to investigate learning behavior and self-regulated learning of undergraduate [...] Digital trace data from learning management systems, that provide objective measures of students’ learning activities, duration of learning activities, and performance, Self-reported data on course-specific [...] successful learning. We use innovative data from the UCI-MUST Study , to identify (successful) self-regulated learning strategies in authentic university courses. We use data from about 8000 undergraduate students …
1. TRR 391
2. Research
3. Projects
B03

sensitivity analysis methods, and global optimization algorithms. The project addresses systems like container, parcel sorting, and less-than-truckload terminals. One source of uncertainty are data sets for [...] uncertainties in system load, process, and decision variables will be assessed by global sensitivity analysis. We will develop Sobol and Shapley type sensitivity measures for dependent spatio-temporal and [...] Applied to system load variables and process settings, this will allow a cost-oriented focus on the data sets to be collected from reality. Decisions in transport logistics systems are the choice of the …