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1. DT
2. Research
Research Projects - Digital Transformation - TU Dortmund

(flowAR) Information platform for refugees Optimizing informational sustainability for citizens in data ecosystems(Opt-IN) In the PlatformPower project, we explore the mechanisms and effects of power in [...] reality in production-related services MentorInn Next Generation Certification (BMBF) Real-time analysis and crowdsourcing for self-organized city logistics Center for Very Large Business Applications …
1. STE
2. Research
3. Projects
4. Completed projects
Child mobility Lünen

matched with the questionnaire data. Such data are extracted from digital sources, collected on site, and processed in the project. The results of the subsequent analysis will be published in academic papers [...] In a questionnaire survey conducted in the Master thesis by Stefan Lohmüller suitable, high quality data were collected in early 2017. Parents of children attending one of seven primary schools in Lünen …
1. IPS
2. Research & Consult
3. Research Projects
4. bis 2023
QU4LITY

development of interoperable digital infrastructures for ZDM by exploring industrial applications of data analysis. An essential aspect of consideration is the reduction of error costs of automatic process control [...] In this context, the EU project "QU4LITY" focuses on the realisation of an application-oriented and data-driven Zero Defect Manufacturing (ZDM). The focus is on the development of strategies to achieve [...] production processes to ensure detailed and at the same time digital documentation. The integration of Big Data Analytics and AI (Artificial Intelligence) processes in the Amberg electronics plant of Siemens AG …
1. dbis
2. Publications
3. 2020
4. Shared Load(ing)
CIDR 2020 Reviews

significant. Example of systems that preprocess the data to minimize load overhead: * Prepping data for a cloud data warehouse or for a data lake. Use of data preparation tools, e.g., Spark or ETL tools such [...] such as AWS Glue ETL or Databricks or Azure data factory is a common practice to transform data for data lakes. Many cloud data warehouses, such as Snowflake or Redshift or Azure SQL DW allow fast querying [...] S1. Data loading is important and consumes a considerable amount of execution time. The problem is well introduced, motivated and justified through the analysis. S2. The idea of shifting some data loading …
1. WiWi
2. Studies
3. Degree Programs
4. Business Administration and Economics (B. Sc.)
5. Examination Regulations 2025
6. Competence Profiles
Data, Decisions, Economic Policy

Data, Decisions, Economic Policy Profile In the competence profile Data, Decisions, Economic Policy, students develop a broad understanding of economic activity from both an overall societal and an individual [...] plash Another substantive focus of the Data, Decisions, Economic Policy competence profile lies in teaching versatile, applicable tools that enable the analysis of far-reaching economic (corporate) decisions: [...] digitalized and data-driven economy. Is this Competence Profile a Good Fit? This competency profile is a good choice for students interested in the following areas: Learning methods of data science/econometrics …
1. WiWi
2. Studies
3. Degree Programs
4. Business Administration and Economics (B. Sc.)
5. Examination Regulations 2019
6. Competence Profiles
Data, Decisions, Economic Policy

Data, Decisions, Economic Policy Profile In the competence profile Data, Decisions, Economic Policy, students develop a broad understanding of economic activity from both an overall societal and an individual [...] plash Another substantive focus of the Data, Decisions, Economic Policy competence profile lies in teaching versatile, applicable tools that enable the analysis of far-reaching economic (corporate) decisions: [...] digitalized and data-driven economy. Is this Competence Profile a Good Fit? This competency profile is a good choice for students interested in the following areas: Learning methods of data science/econometrics …
1. LWuS
2. Homepage
3. Chair
4. Team
M.Sc. Maxime Faymonville - TU Dortmund University

cs (WiSe 2020/21) Linear Models (SuSe 2019) Analysis I Tutorial for Statisticians (WiSe 2017/18) Analysis II Tutorial for Statisticians (SuSe 2017) Analysis I Tutorial for Statisticians (WiSe 2016/17) [...] Jentsch, C. and Paparoditis, E. (2025). Predictive inference for discrete-valued time series. arXiv. data. Faymonville, M. and Jentsch, C. (2025). Joint semi-parametric INAR bootstrap inference for model [...] autoregressive parameter range. IMS 2024 . Bochum, Germany (08/2024). Predictive inference for count data time series. SMSA 2024. Delft, Netherlands (03/2024), (invited). Goodness-of-fit testing for INAR …
1. STE
2. Research
3. Projects
4. Ongoing Projects
Primary school children on the move

children's spatial and transport environment will be carried out in the project. The data will be merged with the questionnaire data. Contact David Hölzel, david.hoelzel@tu-dortmund.de Telephone ++49 (0)231 755 [...] society and policy. The results of these discussions will enter the project in the form of an actor analysis. Methodology In a standardised questionnaire survey among twelve primary schools in Dortmund (n=1 …
1. RER
2. News: 4/5/2022
Evolving Regions – Update the regional climate impact analyses

and enable a "gamified" approach to the enormous depth of information in the analyses and the basic data. This approach also applies to users who have little experience with geographic information systems [...] heat, drought, heavy rainfall and floods. The integration of various filter functions - e.g. the analysis of different future scenarios or municipalities - and highlighting within the interactive dashboards [...] order to be able to better assess and evaluate the climate impacts in detail, maps with basic climatic data were added to the interactive dashboards, such as the water depths of various heavy rainfall scenarios …
1. ITL
2. News: 6/1/2010
Efficiency in logistics systems (ELA) - Sub-project: Increasing the efficiency of sorting systems while taking shipment characteristics into account

environment on the basis of automatic full data capture of consignments (barcode, volume, weight, image information, tracking). Approach The first step of the analysis focused on the manual processing steps [...] the evaluation of the shipment characteristics was the equipping of the study locations with full data acquisition systems, which was carried out by the project partner. The result of the first work step …