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1. TRR 391
2. Research
3. Projects
B03

sensitivity analysis methods, and global optimization algorithms. The project addresses systems like container, parcel sorting, and less-than-truckload terminals. One source of uncertainty are data sets for [...] uncertainties in system load, process, and decision variables will be assessed by global sensitivity analysis. We will develop Sobol and Shapley type sensitivity measures for dependent spatio-temporal and [...] Applied to system load variables and process settings, this will allow a cost-oriented focus on the data sets to be collected from reality. Decisions in transport logistics systems are the choice of the …
1. CNI
2. Research
3. Projects
4. Completed Projects
5. National Projects
InVerSiV

enables a more detailed view of the environment compared to the cars own sensors and furthermore this data can be enriched with additional local or global knowledge. By this project the complex scenario of [...] CNI/Consortium Play video Please confirm video activation. After activation, cookies will be set and data is sent to YouTube (Google). To the Google Privacy Policy Yes, play the video! No, do not play the [...] networks presented at IEEE VTC-Fall 2019 Key results of the vehicular research projects "SFB 876 (B4): Analysis and Communication for Dynamic Traffic Prognosis" and "Intelligente… 06/19/2019 InVerSiV project …
1. RCS
2. Teaching
3. Courses
CME

each): Introduction to Matlab and proper coding hygiene Data visualization: Graphs, surface plots, and visualizing multidimensional datasets Data analysis: Fourier transformation, regression, error bars Simulation: [...] challenging to comprehend. These methods encompass a wide range of disciplines, including finite element analysis, optimization techniques, and machine learning. Although computational methods offer numerous advantages [...] Simulation: First encounter with computer-assisted analysis of simple ODEs and PDEs Optimization: Applying and analyzing linear programming Machine learning: Supervised and unsupervised using neural networks …
1. TU Dortmund
2. News: 2/19/2021
Reliable Predictions of Coronavirus Infections

task, into which various types of data from sometimes small case analyses are fed. For example, predictive models are based on binary data (yes/no) and/or time-to-event data that are collected in clusters [...] the basis of existing data. “In the process, we want to minimize the risk of wrong decisions and evaluate the quality of our predictive models with the help of innovative analysis methods,” says Professor [...] can support decision-making in intensive care “The predictive models we develop are then tested on data sets, such as those currently being collected at Charité, for example,” says Professor Konietschke …
1. AFE
2. Forschung
Algorithmic Foundations

lies in the ability to process or index massive datasets ( big data ), which requires the use of succinct data structures. The goal of these data structures is staying close to the theoretically optimal memory [...] and memory requirements. Algorithm Engineering can be understood as a cycle: after analysis of a newly designed data structure, it is implemented and investigated in practice via experiments . Aside from [...] distributed systems (clusters). As part of the chair for Algorithm Engineering, we implement many of the data structures we design with the goal of being competitive with existing solutions in terms of running …
1. IW
2. Teaching
3. Theses
Application Form

evaluation of empirical studies Own empirical analysis Language * German English Suggested topic * Other comments Data protection * I have read the data protection declaration linked at the bottom of [...] of the page with further information on data protection and accept the processing of the data entered in accordance with the regulations. Your data will only be used within TU Dortmund University to answer [...] / Competence Profile: Business Analytics and Operations Management Bachelor / Competence Profile: Data, Decisions, Economic Policy Bachelor / Competence Profile: Finance, Accounting, Controlling, Taxation …
1. IFS
2. Research
3. Research Projects
4. Past Projects
digiVL

2022 - 30.09.2024 Improving learning and teaching by using digital trace data in higher education (digiVL) We use innovative data to investigate learning behavior and self-regulated learning of undergraduate [...] Digital trace data from learning management systems, that provide objective measures of students’ learning activities, duration of learning activities, and performance, Self-reported data on course-specific [...] successful learning. We use innovative data from the UCI-MUST Study , to identify (successful) self-regulated learning strategies in authentic university courses. We use data from about 8000 undergraduate students …
1. IFS
2. News: 7/29/2022
Promoting young talent at the IFS: Advanced curriculum

using Mplus. Multilevel analyses are among the most relevant analysis methods in educational research due to the nested design of the data (learners in classes/schools). In the second workshop, held July [...] the topics and were also able to test their newly acquired knowledge directly in exercises on sample data sets. The advanced curriculum is part of the structured doctoral program at IFS, which pursues a …
1. Physik
2. Event: 8/23/2022
Thesis defense of Alexander Battig

full LHCb dataset, adding to the above the data collected in 2017 and 2018, effectively doubling the amount of B mesons in the analysed dataset. As the analysis is not yet published, the status as of the [...] scenarios of physics beyond the Standard Model. The search for the decays Bs0 → e+e- and B0 → e+e- uses data collected by the LHCb experiment in the years 2011, 2012,2015 and 2016, it is the first search for …
1. AG Kröninger
Group

transfer between these research areas. In the field of particle physics, we primarily work on the analysis of data from the ATLAS experiment, which is installed at the Large Hadron Collider (LHC) of the CERN [...] search for previously unknown processes involving heavy particles. At the same time, we interpret these data in the framework of effective field theories, using advanced statistical methods and tools. In addition [...] and Plasma Physics Center (RAPP Center) , and the PUNCH4NFDI consortium of the National Research Data Infrastructure (NFDI). We also lead a MERCUR-funded graduate school in proton therapy and are part …