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1. Department of Statistics
Landingpage

studies, you learn to make data-based decisions and find out how probabilities work. Standard period of study: 6 semesters (free admission) Data Science B.Sc. Studying Data Science gives you a hands-on [...] at a desk. Although statistics consists of a lot of applied mathematics and problem-oriented data analysis, it also requires interdisciplinary work . Today, hardly any subject in science and business can [...] set early on.“ Career prospects © Adobe Stock More and more data in all industries create a rapidly increasing demand for statisticians and data scientists . The career prospects are excellent due to the …
1. Department of Statistics
2. Department
3. Professors emeritus
Prof. Dr. Joachim Hartung

Reduction in Multivariate Data Structures". From 1997 to 2003 he was head of the project "Meta-Analysis in Biometry and Epidemiology". Numerous publications on meta-analysis were produced; one paper was [...] "Statistical Meta-Analysis with Applications" was published, of which he was a co-author. Since the mid-1980s, Joachim Hartung has repeatedly been involved in the design and analysis of clinical trials …
1. TU Dortmund
2. News: 7/1/2023
Universal Fascination

of 2021. 2022 – Data flood On 14 April 2022, the MAGIC consortium publishes its findings on the explosion of the vampire star in the journal Nature Astronomy. The demanding data analysis process takes place [...] suitable analysis methods for these huge sums of data for quite some time, including from 2011 to 2022 in the Collaborative Research Center 876 “Providing Information by Resource-Constrained Data Analysis” [...] the telescopes have to shoot a billion frames per second, so to speak. “This also explains the high data rate that our telescopes produce and that we then have to evaluate. We’re talking around one terabyte …
1. Spatial Modelling Lab
2. Team
Dr René Westerholt, Professor

around both spatial and place-related quantitative methods. Spatial analysis is my main focus, with a special emphasis on the analysis of user-generated geographical information. A second focus is place-based [...] »Coming from a background in geoinformatics, my research focuses on statistical methods for the analysis of spatiotemporal and place-based information. Using a wide range of approaches, my focus is on [...] . In addition to this statistical focus, my research is also dedicated to the understanding and analysis of place-based information, such as representations of how people perceive, live, and conceptualise …
1. IPS
2. Research & Consult
3. Research Projects
Completed Projects

ive data use in the beverage industry to enable data-driven process optimisations. The close cooperation between users, machine and plant manufacturers enables the development of innovative, data-driven [...] of the IPS. AKKORD 04/01/2019 - 03/31/2023 Networked and Integrated Application of Industrial Data Analysis for Value-Creating, Competence-Oriented Collaboration in Dynamic Value Networks Further information [...] low-effort methodology for the analysis, evaluation and visualisation of occurring physical stresses in order-picking systems, taking into account recognised work analysis procedures. GPS für LDL In view …
1. MSIND
2. Research
3. Events
Learning Session on Quantile-Based Covariate Adjustment

Quantile-Based Covariate Adjustment If you want to improve your knowledge in quantile regression and analysis of covariance , we invite you to our one-day Learning Session on Quantile-Based Covariate Adjustment [...] of quantile-based methods in-depth. We will deal with quantile regression as well as generalized analysis of covariance (ANCOVA) models. On both topics, experts will teach about the mathematical foundations [...] , postdoc at the University of Salzburg and team leader of the Team Biostatistics and Big Medical Data at the Paracelsus Medical University Salzburg, who proposed a semiparametric ANCOVA and dealt with …
1. CNI
2. News: 12/23/2021
CNI congratulates Melina Geis, Tim Gebauer, and Cedrik Schüler for receiving prestigious awards for their master’s theses

three-dimensional environmental model that is constructed from various data sources. By bringing together machine learning analysis with expert knowledge from the communications domain, a path loss correction [...] Within her thesis "Deep Learning-Based Radio Propagation Modeling and Prediction Using Geographical Data", she has investigated the usage of deep learning methods for extracting latent radio channel information [...] the scope of this work, a multi-scale simulation model was created for a comprehensive performance analysis of the numerous implementations of NB-loT. Based on this, realistic scenarios were investigated …
1. Compstat
Professorship

Room: Vogelpothsweg 87, Room 721 PostDocs Svenja Jedhoff Background: Data Science Project: Real-time spatio-temporal data analysis for monitoring logistics networks Co-Supervisor: Anne Meyer Room: Vog [...] tu-dortmund de Links: GitHub Room: Vogelpothsweg 87, Room 736 Aaysuh Mishra Background: Physics and Data Science Project: Simulation Intelligence with Deep Learning Email: aayush.mishra tu-dortmund de Links: [...] Soham Mukherjee Background: Statistics Project: Probabilistic Models for Single-Cell RNA Sequencing Data Links: Linkedin Co-Supervisor: Manfred Claassen Room: Vogelpothsweg 87, Room 711 …
1. Compstat
2. Professorship
Team

Links: GitHub Room: Vogelpothsweg 87, Room 711 Svenja Jedhoff Background: Data Science Project: Real-time spatio-temporal data analysis for monitoring logistics networks Co-Supervisor: Anne Meyer Room: Vog [...] tu-dortmund de Links: GitHub Room: Vogelpothsweg 87, Room 736 Aaysuh Mishra Background: Physics and Data Science Project: Simulation Intelligence with Deep Learning Email: aayush.mishra tu-dortmund de Links: [...] Soham Mukherjee Background: Statistics Project: Probabilistic Models for Single-Cell RNA Sequencing Data Links: Linkedin Co-Supervisor: Manfred Claassen Room: Vogelpothsweg 87, Room 711 …
1. TRR 391
2. Research
3. Projects
A06

Forecasting methods for spatio-temporal data: robust evaluation and inference A06 develops forecasting methods and forecast evaluation tools with a focus on panel data with a particular emphasis on robustness [...] of Duisburg-Essen Summary We develop forecasting tools able to cope with complex data structures that arise in panel data setups, in particular with any spatial relation between panel units. Moreover, for [...] robust to nuisance features of the data. Along these lines, we provide forecasting methods that are robust to the effect of parameter estimation, as well as to data properties such as high, but unknown …