Roland Hohensinn: Catalogue data in Autumn Semester 2021

Name Dr. Roland Hohensinn
DepartmentCivil, Environmental and Geomatic Engineering

103-0139-00LGeodetic Networks and Data Analysis6 credits4GR. Hohensinn
AbstractThe lecture provides knowledge about the planning, computation and analysis of geodetic networks, as well as the use of data analysis methods in geodesy in general. The necessary mathematical and statistical methods are presented and applied using examples from geodesy.
ObjectiveAfter completing this course, the participants should be equipped with the necessary tools to plan, analyze and evalute geodetic networks as well as to evaluate and analyze geodetic data in general. For typical geodetic tasks the participants should be able to provide concepts of solutions as well as to do the necessary programming work.
ContentRecapitulation of basics in statistics and probability theory (density and distribution functions, random variables, correlations, Monte Carlo simulation, hypothesis tests), linear and nonlinear least squares estimation, terrestrial and satellite-based observation equations, reference frames and transformations (global, local, astronomical), geodetic datum (free/constrained networks, full/partial trace minimization), quality control of geodetic methods (precision, reliability), robust estimation, time series analysis (decomposition, stochastic processes, parametric/nonparametric methods, regression models, spectral analysis and filtering, significance tests), basics of Kalman filtering (state space representation, Kalman equations, quality control)
Lecture notesA script (in English) is being offered.
LiteratureO. Heunecke, H. Kuhlmann, W. Welsch, A. Eichhorn, H. Neuner: "Auswertung geodätischer Überwachungsmessungen", Wichmann-Verlag, 2013

Weitere Literaturquellen werden während des Kurses bekannt gegeben.
Prerequisites / NoticeLinear algebra, basics in statistics and probability theory, parameter estimation
103-0627-00LSpace Geodesy Lab5 credits3PG. Möller, R. Hohensinn, M. Rothacher, B. Soja
AbstractSpace Geodesy Lab allows you to deepen your knowledge about space-geodetic techniques, in particular of GNSS, VLBI, SLR, satellite altimetry and gravity missions for monitoring the environment and changes within the Earth system.
ObjectiveStudents enrolled in this course will be given the possibility to learn about space-geodetic methods to solve a specific research problem. As a result, you will become familiar with the entire processing chain from gathering of raw measurements to geodetic products like reference frames, station motions, Earth orientation parameters, atmospheric and climate variables, or the Earth gravity field and its variations.
ContentFor a small project based on space geodetic measurements and methods (or a related project of your choice), you or a group of 2-3 students will be provided with the necessary equipment, access to data and analysis tools for solving a research question. Therefore, we expect autonomous development, planning, data analysis and interpretation of the results. At the end of the semester you will be ask to present your findings and to submit a report summarizing your semester activities. As needed, further background will be given during the semester.
Lecture notesdiv. sources
LiteratureM. Rothacher – Space Geodesy lecture notes
Additional literature will be distributed during lectures
Prerequisites / NoticeBasic knowledge about satellite geodesy, reference frames and the Earth gravity field. Programming skills in Matlab, Python or similar.
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Media and Digital Technologiesfostered
Project Managementassessed
Social CompetenciesCommunicationassessed
Cooperation and Teamworkassessed
Customer Orientationfostered
Leadership and Responsibilityfostered
Self-presentation and Social Influence assessed
Sensitivity to Diversityfostered
Personal CompetenciesAdaptability and Flexibilityassessed
Creative Thinkingassessed
Critical Thinkingassessed
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered