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#60192 / #5

Seit WiSe 2021/22

English

Adjustment Theory I

6

Neitzel, Frank

benotet

Schriftliche Prüfung

Zugehörigkeit


Fakultät VI

Institut für Geodäsie und Geoinformationstechnik

36331200 FG Geodäsie und Ausgleichungsrechnung

Geodesy and Geoinformation Science

Kontakt


No information

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ega@geodesy.tu-berlin.de

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Learning Outcomes

Students will gain a profound theoretical and methodical knowledge in variance-covariance propagation and parameter estimation via least-squares adjustment. They are able to design functional and stochastic models and apply these on geodetic and general engineering tasks.

Content

Adjustment Theory I [IV 3633 L 201] Content - Distribution of a random variable - Mean value, expectation and true value of a random variable - Variance and standard deviation - Random vectors - Propagation of observation errors - Propagation of variances and covariances - The Gaussian or Normal Distribution - Introduction to least squares adjustment - Functional model and stochastic model - Observation equations - Linear functional models - Non-linear functional models - Variance-Covariance Matrices (VCM) for the results - Least squares adjustment with constraints for the unknown parameters - Applications of least squares adjustment Didactic concept -Lecture 50% -Exercise 50%

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Adjustment Theory IIV3633 L 201WiSeEnglish4

Workload and Credit Points

Adjustment Theory I (IV):

Workload descriptionMultiplierHoursTotal
Overall attendance15.04.0h60.0h
Preparation and planning15.02.0h30.0h
Homework4.015.0h60.0h
Examination preparation1.030.0h30.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

- Lecture 50% - Exercise 50%

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Profound knowledge of Linear Algebra, basic knowledge of Applied Geodesy, basic knowledge of MatLab / Octave

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Written exam

Language

English

Duration/Extent

120 Minuten

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

no information.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
See ISIS

 

Literature

Recommended literature
Ghilani C. & Wolf P. (2006): Adjustment Computations. New Jersey, John Wiley
Harvey, B.R. (2016): Practical Least Squares and Statistics for Surveyors. Monograph 13, Third Edition reprinted, Surveying, CVEN, The University of New South Wales, Australia, 332 + x pp., ISBN 0-7334-2339-6
Mikhail, E. & Ackerman, F. (1976): Observations and Least Squares. New York: University Press of America
Niemeier, W. (2008): Ausgleichungsrechnung. Walter de Gruyter, New York

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Geodesy and Geoinformation Science (M. Sc.)16WiSe 2021/22SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information