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1. IPS
2. News: 7/14/2023
Final Meeting of the AIF Research Project PrEPFlow

Schalksmühle. Here it could be shown which data points are necessary for a successful, data-based bottleneck analysis. JUNG has implemented the Dynamic Value Stream Analysis (DWSA) in the socket assembly in c [...] IPS engineers GmbH and evosoft GmbH, which accesses precisely these data points. Thus, the implementation of the bottleneck analysis into the DWSA was discussed during the final meeting. Here, too, il [...] illustrative impressions from the DWSA were presented to the participants. An IT tool for bottleneck analysis has also been developed in the research project. This will be made publicly available in the coming …
1. WiWi
2. Studies
3. Degree Programs
4. Business Administration and Economics (B. Sc.)
5. Examination Regulations 2025
6. Competence Profiles
Business Analytics and Operations Management

markets. Systematic analysis of data and decision contexts and creation of forecasts Formal modeling of business optimization tasks Applying and developing algorithms for data analysis and optimization [...] generation of new management tools. The methods portfolio includes mathematical modeling, classical data analysis and optimization algorithms as well as machine learning, matheuristics and agent-based modeling [...] companies using quantitative methods. To this end, existing or potential future processes and associated data are systematically structured, analyzed and recorded using formal models. The aim is to use computer-aided …
1. WiWi
2. Studies
3. Degree Programs
4. Business Administration and Economics (B. Sc.)
5. Examination Regulations 2019
6. Competence Profiles
Business Analytics and Operations Management

markets. Systematic analysis of data and decision contexts and creation of forecasts Formal modeling of business optimization tasks Applying and developing algorithms for data analysis and optimization [...] generation of new management tools. The methods portfolio includes mathematical modeling, classical data analysis and optimization algorithms as well as machine learning, matheuristics and agent-based modeling [...] companies using quantitative methods. To this end, existing or potential future processes and associated data are systematically structured, analyzed and recorded using formal models. The aim is to use computer-aided …
1. SMS
2. Research
Projects of chair sms, department of statistics

statistical methods for psychological diagnostics. This includes in particular methods for the analysis of data from psychometric achievement tests (such as mathematics tests from PISA or intelligence tests) [...] theory, structural equation models) Modeling of longitudinal data Machine learning methods in psychometrics Automatic item generation Meta-analysis of diagnostic procedures Meta-analyses Current Projects Completed …
1. IFS
2. News: 10/1/2024
FAIR Learning Analytics Workshop at the IFS

between the participants on various topics that were discussed, such as the selection of log data, data formats, analysis methods, and interpretation options. [...] Dortmund University from September 25–27. Learning analytics is the collection, analysis, and visualization of detailed data about learning processes, and aims to provide learners with information about [...] analyses on learning processes. In the first part of the workshop Effective dashboard design and data visualization for Learning Analytics , Junior-Professor Ioana Jivet from the FernUni in Hagen and …
1. DAES
2. Forschung
3. Forschungsprojekte
SFB 876

Resource-Constrained Data Analysis The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning [...] learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms [...] by LS8 at TU Dortmund Currently, active subprojects from LS12 as part of the SFB (external links): Data Mining for Ubiquitous System Software (Jan. 2019 - Dec. 2022) Methods for Efficient Resource Utilization …
1. MIKRO
2. News: 10/9/2025
Welcome to the winter semester 2025/26

semester with us. The Bachelor's programme offers the specialisation ‘Causal Analysis: Economics meets Data Science’. Causal analysis examines the extent to which the causal effect of a particular measure (e [...] (e.g. minimum wage) on a particular variable (e.g. unemployment) can be derived from observable data. In addition, the specialisation ‘Human Resource Economics: Economics meets Human Resource Management’ …
1. Fakultät Statistik
2. Event: 4/20/2023
Statistik im Beruf: Data Science in statutory health insurance: From financial planning to the development of innovative ML products

be used productively and explain to you what is important here apart from good statistical and data analysis skills. The presentation will take place on April 20, 2023 at 4:15 p.m. in M/E 21. [...] M/E 21 Dr. Sermad Abbas and Tobias Kassner (Data Scientists, BITMARCK Service GmbH, Essen) As a managed service provider for more than 80 percent of the statutory health insurance companies, BITMARCK sets [...] of the healthcare system. In this presentation, we will show you how statistics helps to enable a data-driven statutory health insurance. We will also show you how the MLOps process schema turns an idea …
1. WKF-SB
2. News: 12/10/2021
Interdisciplinary profile area FAIR starts work

brings together researchers from data sciences, statistics, education sciences, psychology, rehabilitation studies, and sociology to develop innovative methods of data analysis to address societal challenges [...] important because increasingly larger and more complex data, such as from longitudinal studies in empirical education research and life course data from sociological aging research, can contribute to s [...] understanding of interrelationships. In the social sciences, increasingly larger and more complex data are available that can contribute to more accurate predictive models (e.g., for outcomes such as school …
1. IFS
2. News: 12/10/2021
Interdisciplinary profile area FAIR starts work

brings together researchers from data sciences, statistics, education sciences, psychology, rehabilitation studies, and sociology to develop innovative methods of data analysis to address societal challenges [...] important because increasingly larger and more complex data, such as from longitudinal studies in empirical education research and life course data from sociological aging research, can contribute to s [...] understanding of interrelationships. In the social sciences, increasingly larger and more complex data are available that can contribute to more accurate predictive models (e.g., for outcomes such as school …