Moses - EGA Adjustment Calculation II

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SoSe 2020 - SoSe 2021.

Module / Version:
#60283 / #4

Validity:
SoSe 2020 - SoSe 2021

Default display language:
English

Module title:
EGA Adjustment Calculation II

Credits:
9

Responsible person:
Neitzel, Frank

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät VI

Institute:
Institut für Geodäsie und Geoinformationstechnik

Area of expertise:
36331200 FG Geodäsie und Ausgleichungsrechnung

Prüfungsausschuss:
Geodesy and Geoinformation Science

Kontakt

Office:
H 20

Contact person:
Neitzel, Frank

E-mail address:
ega@geodesy.tu-berlin.de

Website:
No information

Learning Outcomes

Students will have profound knowledge about different statistical distributions and how to apply them for hypothesis testing. They are able to solve adjustment problems with a singular design matrix, e.g. free network adjustment. The students gain profound knowledge in quality assessment of adjustment results with respect to precision and reliability. They are able to detect blunders in the observations and to evaluate the geometry of adjustment problems from partial redundancies. The main educational objective is that the students will be able to solve arbitrary adjustment problems with conditions and constraints, e.g. from a rigorous solution of the nonlinear Gauss-Helmert model. They know the concept of robust parameter estimation and when to apply it. The students know how to apply the concepts of statistic and adjustment calculation for analysis of stochastic processes, e.g. time series analysis.

Content

Selected Sections of Adjustment Calculation VL 3633 L 223, UE 3633 L 224 - Statistical distributions and confidence intervals - Gaussian normal distribution - Chi-squared distribution - t-Distribution - F-Distribution - Hypothesis Testing - Least-squares adjustment with singular design matrix - S-Transformation - Quality assessment of adjustment results - Precision measures - Reliability measures - Global test - Data-snooping - Variance component estimation - Adjustment models with conditions and constraints - Rigorous solution of the non-linear Gauss-Helmert model - Rigorous solution of the adjustment with condition equations - Applications of adjustment with conditions and constraints - Robust parameter estimation Analysis of Stochastic Processes IV 3633 L 231 - Auto-covariance and auto-correlation - Cross-covariance and cross-correlation - Decomposition of time series - Regression analysis - Filtering in the time and frequency domain - Analysis of cyclic oscillations, e.g. Fourier analysis - Kalman filtering

Module Components

Pflichtteil:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS
Adjustment Theory II	VL	3633 L 223	SoSe	No information	2
Analysis of Stochastic Processes	IV	3633 L 231	WiSe	No information	2
Adjustment Theory II	UE	3633 L 224	SoSe	English	2

Workload and Credit Points

Adjustment Theory II (VL):

Workload description	Multiplier	Hours	Total
Overall attendance	15.0	2.0h	30.0h
			30.0h(~1 LP)

Analysis of Stochastic Processes (IV):

Workload description	Multiplier	Hours	Total
Overall attendance	15.0	2.0h	30.0h
			30.0h(~1 LP)

Adjustment Theory II (UE):

Workload description	Multiplier	Hours	Total
Overall attendance	15.0	2.0h	30.0h
			30.0h(~1 LP)

Course-independent workload:

Workload description	Multiplier	Hours	Total
Preparation and post - processing	15.0	7.0h	105.0h
Project processing	15.0	5.0h	75.0h
			180.0h(~6 LP)

The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

Selected Sections of Adjustment Calculation - Lecture (50%) - Exercises (50%) Analysis of Stochastic Processes - Lecture (50%) - Exercises (50%)

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Participation in the module “FOU Adjustment Calculation I”, profound knowledge of Linear Algebra, knowledge of Applied Geodesy, knowledge of MatLab / Octave.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte pro Element

Language

English

Test elements

Name	Weight	Categorie	Duration/Extent
Exercises (Analysis of Stochastic Processes)	1	flexible	2 SWS
Intermediate Test (Analysis of Stochastic Processes)	2	written	90 Minutes
Intermediate Test (Selected Sections of Adjustment Calculation)	6	written	90 Minutes

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

Test description (Module completion)

No information

Duration of the Module

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

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

no information.

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

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

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

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

Miscellaneous