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1. RER
2. News: 6/29/2021
Evolving Regions - Innovative and interactive tool for regional climate impact analysis

perceived impact and empirical values. The participants found that the wide range of climatic and spatial data as well as the innovative and interactive tool, Tableau (see the figure), very helpful and goal-oriented [...] spatially located with the help of the analyses. Parallel to the ongoing roadmap process, more detailed data was collected for the climate impact analyses in the districts and associated municipalities. These [...] into the new version of the climate impact analyses, which will include a wider range of sensitivity data as well as future projections regarding climatic and spatial developments. Furthermore, the remaining …
1. IPS
2. News: 4/21/2023
Successful completion of the agileKMU research project - The small PLM for SMEs

the Kanban board and knowledge management in the form of a wiki. The task-oriented data provision links the relevant data with the Kanban board and thus provides up-to-date information. The visualisation [...] s and to integrate stakeholders into the planning process. The research project started with an analysis of available open source and commercial project management software. In parallel, the requirements [...] available as a template. The development of the agile cooperation concept, the workflow management, the data provision functionality and the visualisation concept formed the central core of the research project …
1. Department of Statistics
2. Studies
3. Sustainability
Studium Oecologicum

(Spatial and Spatial-Temporal Statistics): Stochastic processes are applied, for example, in the analysis of data for flood statistics Qualitätssicherung (Reliability and Material Fatigue Statistics): Quality [...] and Technology, the Department of Statistics offered in the winter semester 2021/22: Data Literacy (Elementary Data Understanding) Further information on the studium oecologicum can be found on the pages …
1. ITPL
2. Teaching
3. Courses
Fallstudie Informationssysteme

practical field of production logistics. The tasks cover the areas of database development, data analysis, data mining as well as conceptual developments in the task field of information systems. The concrete [...] Datenbankentwicklung, Datenanalyse, Data Mining Fallstudie Informationssysteme Semester Credits Moodle course Date Location Start date Summer 5 Link to Moodle course - MB1 R323 15.04.2025 © itpl In this …
1. CNI
2. News: 9/21/2016
Client-Based Control Channel Analysis for Connectivity Estimation in LTE Networks

Information). In a subsequent step the data rates to be expected can be estimated in order to enable decision about the choice of network and the timing of the data offloading to the cloud. The proposed [...] y of network connectivity: in case of excellent connectivity, the off-loading of large amounts of data can be more efficient than the local processing on a resource- constraint platform, while this latter [...] is preferred in case of limited connectivity. This paper proposes a Client-Based Control Channel Analysis for Connectivity Estimation (C3ACE), a new passive probing mechanism to enable the client- side …
1. TRR 391
2. Research
3. Topic Circles
TC01

statistical analysis with a minimum amount of resources. It has its focus on robust and adaptive experimental design (e.g., A01 , B01 , B04 ), experimental design for tracking and mixed data (e.g., A01 [...] Robust Statistics and Experimental Design for Spatio-temporal Data The Workshop "Robust Statistics and Experimental Design for Spatio-temporal Data" took place from September 26 to 27, 2025, at TU Dortmund …
1. RIM
2. Event: Every Thursday at 10:15 - 11:45
SPRING Module 4: Spatial Data Analysis and Mapping

spatial data is now a central part of our daily life. One key to a sustainable future within the changing world is create and visualize of spatial data and access to spatial data and to reach information [...] GB III, R. 437 Spatial data are items of information related to a location on the Earth, e. g. topography, place names, height data, land cover, hydrology, cadastre, administrative boundaries, socio-economic [...] Spatial data are critical to promote economic development, improve our responsibility of natural resources and to protect the environment. One has estimated that approximately 80 % of governmental data has …
1. CNI
2. News: 6/19/2022
Scaling Dense NB-IoT Networks to the Max: Performance Benefits of Early Data Transmission

ion when using new features like Early Data Transmission for optimal cellular performance. Still, the analysis results show a great positive impact of Early Data Transmission on the overall performance [...] Cellular IoT Optimization, and Early Data Transmission, using a novel detailed implementation of NB-IoT in the NS-3 LTE simulation framework LENA. The results show that Early Data Transmission clearly outperforms [...] Cellular IoT Optimization, and Early Data Transmission scenarios is given. It is shown that the scalability is limited by downlink spectrum capacity for non-Early Data Transmission scenarios and Random Access …
1. PAS
2. Teaching
3. Teaching Offer
Machine Learning Methods for Engineers Course

n of the main challenges that arise when dealing with large data sets and presentations of different possibilities for data management, data cleaning and outlier detection. Basic definitions in artificial [...] field. Acquired competences The students can analyze the quality of data sets and perform simple operations to clean and prepare the data for the application of different machine learning techniques. The [...] classification. Usage of tools to efficiently implement machine learning methods. Interpretation and analysis of the results and presentation of the potential of machine learning with examples of the chemical …
1. AI
2. Event: 6/27/2024
Causal Discovery under Scaled Noise: Identifiability and Robust Estimation

Zürich, a postdoc fellow at the ETH AI Center, and part of the Medical Data Science Group. He did his PhD in the Exploratory Data Analysis group affiliated with the CISPA Helmholtz Center for Information Security [...] discovery aims to learn causal networks, i.e., directed acyclic graphs (DAGs), from observational data. Although the problem is non-identifiable in the most general form, we can achieve identifiability [...] focus on the estimation of Gaussian LSNMs (heteroscedastic regression) on moderately high dimensional data via deep neural networks. Connecting to prior work on Bayesian inference, we propose an efficient …