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Geodetic Data Analysis
Geodätische Datenanalyse
Last Updated: 2026-02-05 16:30:02
Abstract
The lecture provides knowledge about the analysis of geodetic time series and their modeling as stochastic processes.Besides, Fourier analysis is also discussed in detail, and basic concepts for parameter estimation, significance, and quality control are laid out.Finally, Monte Carlo simulations are discussed as well.
Objective
After completing the course, participants should have the necessary knowledge to analyze geodetic time series and decompose them into their components. They will also be able to perform hypothesis tests and apply Monte Carlo simulations.
Content
- Time series analysis (component decomposition, stochastic processes, parametric and non-parametric methods, regression models, significance tests) - Fourier analysis (discrete/continuous, sampling frequency, frequency resolution, aliasing, leakage effects, window functions) - Recapitulation of basics from statistics and probability calculations (density and distribution functions, random variables, correlation, hypothesis tests) - Monte Carlo simulations
Resources
Lecture Notes
English script and slides are provided.
Literature
Literaturquellen werden während des Kurses bekannt gegeben.
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Geodätische Datenanalyse
Hinweis: Vormals 103-0139-00 Geodätische Netze und Datenanalyse (6KP). Ab HS22 neue Aufteilung: 103-0139-00 Geodätische Datenanalyse (HS, 3KP) und 103-0156-10 Navigation (FS, 3KP). Die 103-0139-01 kann nicht noch zusätzlich zur 103-0139-00 (6KP) angerechnet werden für Studierende mit Belegung vor HS22.
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2 h weekly |