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1. TIE
2. Institute
3. Teamdata
Data Michael Amroudi

Management at the TIE Institute, TU Dortmund University Master (M.Sc.) in Management & Technology at TU Munich with major in Finance & Computer Science Bachelor (B.Sc.) in Management & Technology at TU Munich …
1. DoCMA
2. Team
3. Research Associates
DoCMA - Kai-Robin Lange

Research Assistant at TU Dortmund University 2016-2021: Study of Statisitics with minor in computer science, Master Thesis: "Resampling strategies for unsupervised sentiment analysis using lexicon-based text embedding …
1. ZBT
2. News: 4/19/2024
Internships available at BwA

is aimed at students from the Rehabilitation Education (Bachelor of Arts) and Rehabilitation Sciences (Master of Arts) degree programs with an interest in the fields of movement education/movement therapy …
1. IFS
2. News: 5/8/2024
Paper published in Technology, Knowledge and Learning

Schwerter, J., Brahm, T. (2024). Voluntary E-Learning Exercises Support Students in Mastering Statistics. Technology, Knowledge and Learning https://doi.org/10.1007/s10758-023-09714-1 In this article, [...] feedback can help the students. The study is based on interviews with 67 bachelor students of social sciences and the analysis uses, among other things, a causal machine learning method. The results suggest …
1. IPS
2. Research & Consult
3. Research Projects
4. bis 2023
ADiFa

both product development and production, time data become a connecting element in the data network of product creation. Despite the great importance of time data in product creation, there is a lack of concepts [...] for the exchange of time data are analysed. This includes determining which time data must be available in which planning step and with what accuracy. Based on this, the data model or the application protocol [...] planning data consistently in a heterogeneous system landscape. This fact is due to the lack of conformity of the interfaces and the resulting lack of integration of all necessary planning data. Furthermore …
1. Compstat
2. Research
Projects

sed prior distributions Data-driven statistical modeling plays a crucial role in almost all quantitative sciences. Despite continuous increases in the amount of available data, the addition of further …
1. Compstat
2. Research
3. Projects
Simulation-based prior distributions

sed prior distributions Data-driven statistical modeling plays a crucial role in almost all quantitative sciences. Despite continuous increases in the amount of available data, the addition of further …
1. STABI
2. Staff
3. Former academic staff
M.Sc. Hendrik Dohme

tools for core drilling of concrete by force measurements“ in: Artiﬁcial Intelligence, Big Data, Data Science and Machine Learning in Statistics, Springer Verlag (angenommen) „K-depth tests for testing …
1. MB
2. News: 11/30/2022
Festive Colloquium at the Department of IT in Production and Logistics

examples. Related topics, such as data analytics, digital twin or data farming, were also highlighted. In addition to insights into formal scientific work, the first ITPL Science Slam summarized recent research …
1. Arbeitsgruppe Albrecht
2. Event: Summer semester 2024
Particle colloquium: Transparency, reproducibility and the democratization of an ecosystem - the benefits of Snakemake 8

citations per week (>2000 in total), Snakemake is a widely used and accepted standard for reproducible data science that has powered numerous high impact publications and is used in many important projects, from [...] workflow management system is a tool to create reproducible, scalable, transparent, and adaptable data analyses. Workflows are described via a human readable, Python based language. They can be seamlessly …