Master of Science Geodesy and Geoinformation Science … · 2019. 5. 27. ·...

Studiengangsbeschreibung: The Master's program Geodesy and Geoinformation Scienceis characterised by linking geodesy to areas of research and content of teaching in the field of geoinformation science. Geoinformationscience is based on geodetic reference systems, which are prerequisites for data acquisition, processing, updating, and analysis of spatialdatabases. These requirements are also important in modelling and visualisation, as well as for navigation and guidance techniques orlocation based services. Geodetic methods encompass the techniques of terrestrial surveying, photogrammetry, and remote sensingtechnology. Object modelling goes along with statistics and error estimation. The general emphasis is on data generation that is coordinatedto both well-defined reference systems withwell-known accuracy. The science of Geodesy forms the basis which allows for the organisationand utilisation of geoinformation systems that make up the basic discipline of geoinformation science.The Master's program Geodesy and Geoinformation Science takes four semesters and comprises a total of 120 creditpoints. During the first semester the students have to select their modules from a given basis catalogue, the modules must have a total amount ofat least 30 CP. This semester is important as it aims to take the students to a common standard and to build up the fundament for thescientific education during the course of the programme.In the 2nd and 3rd semester students have to select one field of specialisation (major subject) from the following thematic blocks:• Geoinformation Technology• Space Geodesy and Navigation• Engineering Surveying and Estimation Theory• Computer Vision and Remote Sensing.This major subject must have a total amount of at least 21 CP. This includes a project seminar with a value of at least 6 CP. Furthermore,students have to choose modules with an amount of 9 CP from each remaining thematic block (minor subjects).Due to the fact that the student can choose between 4 fields of specialisation in connection with various other compulsory and optionalmodules, each student can create his individual programme.The compulsory modules can be selected from acatalogue which is provided by the TU Berlin or fromother universities not necessarily located in Germany.

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Die Gewichtungsangabe '1.0' bedeutet, die Note wird nach dem Umfang in LP gewichtet (§ 47 Abs. 6 AllgStuPO); '0.0' bedeutet, die Notewird nicht gewichtet; jede andere Zahl ist ein Multiplikationsfaktor für den Umfang in LP. Weitere Hinweise zur Bildung der Gesamtnote sindder geltenden Studien- und Prüfungsordnung zu entnehmen.

Studiengang

Master of Science Geodesy and Geoinformation Science (Geodesy and GeoinformationScience)

Abschluss:

Master of ScienceKürzel:

Geodesy and GeoinformationScience

Immatrikulation zum:

Wintersemester

Fakultät:

Fakultät VIVerantwortlich:

Neitzel, Frank

Master of Science Geodesy and Geoinformation Science (Geodesy and Geoinformation Science)

StuPO (21.03.2007)

Datum:

21.03.2007Punkte:

120

20.03.2019 08:07 Uhr Geodesy and Geoinformation Science - StuPO (21.... Seite 1 von 9


1. Foundation subjects Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Alle untergeordneten Studiengangsbereiche müssen bestanden werden.

1. Basisbereich Unterbereich von 1. Foundation subjects Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 30 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

2.1 Major subject Geoinformation Technology Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Alle untergeordneten Studiengangsbereiche müssen bestanden werden.

Major subject Geoinformation Technology Unterbereich von 2.1 Major subject Geoinformation Technology Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 15 Leistungspunkte bestanden werden. Es dürfen höchstens 15 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Minor subject Computer Vision and Remote Sensing Unterbereich von 2.1 Major subject Geoinformation Technology Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 9 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Geodesy and Geoinformation Science (M. Sc.) - StuPO (21.03.2007)

Modulliste SS 2019

Titel LP Prüfungsform Benotet GewichtFOU Adjustment Calculation I 6 Schriftliche Prüfung ja 1.0FOU Geoinformatics 1 6 Schriftliche Prüfung ja 1.0FOU Introduction to Satellite Geodesy 6 Mündliche Prüfung ja 1.0FOU Spatial Databases and Infrastructures 6 Schriftliche Prüfung ja 1.0Geophysikalische Erkundung in Geotechnologien 6 Portfolioprüfung ja 1.0Photogrammetric Computer Vision 6 Schriftliche Prüfung ja 1.0

Titel LP Prüfungsform Benotet GewichtGIS Advanced Methods for Geospatial Analysis 6 Mündliche Prüfung ja 1.0GIS Geographical Information Systems A 6 Mündliche Prüfung ja 1.0GIS Geoinformatics 2 3 Schriftliche Prüfung ja 1.0GIS Geovisualization 6 Mündliche Prüfung ja 1.0GIS Internet, Mobile, and Distributed GIS 6 Mündliche Prüfung ja 1.0GIS Selected Sections of Geoinformatics 6 Mündliche Prüfung ja 1.0GIS Semantic 3D/4D City Models 6 Mündliche Prüfung ja 1.0


Minor subject Engineering Surveying and Estimation Theory Unterbereich von 2.1 Major subject Geoinformation Technology Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 9 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Minor subject Space Geodesy and Navigation Unterbereich von 2.1 Major subject Geoinformation Technology Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 9 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Project seminar Geoinformation Technology Unterbereich von 2.1 Major subject Geoinformation Technology Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 6 Leistungspunkte bestanden werden. Es dürfen höchstens 6 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

2.2 Major subject Space Geodesy and Navigation Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein:

Titel LP Prüfungsform Benotet GewichtAutomatic Image Analysis 6 Schriftliche Prüfung ja 1.0Digital Image Processing 6 Schriftliche Prüfung ja 1.0Hot Topics in Computer Vision Seminar 3 Portfolioprüfung ja 1.0Microwave and Radar Remote Sensing 6 Schriftliche Prüfung ja 1.0Optical Remote Sensing 6 Schriftliche Prüfung ja 1.0Photogrammetric Computer Vision 6 Schriftliche Prüfung ja 1.0Project Hot Topics in Computer Vision A 9 Portfolioprüfung ja 1.0Project Hot Topics in Computer Vision B 9 Portfolioprüfung ja 1.0

Titel LP Prüfungsform Benotet GewichtEGA Adjustment Calculation II 9 Portfolioprüfung ja 1.0EGA Analysis of Deformation Processes 3 Portfolioprüfung ja 1.0EGA Current Methods of Measurement Data Analysis in Geodesy 3 Mündliche Prüfung ja 1.0EGA Engineering Geodesy 9 Portfolioprüfung ja 1.0EGA Engineering Surveying and Estimation Theory I 9 Portfolioprüfung ja 1.0EGA Engineering Surveying and Estimation Theory II 9 Portfolioprüfung ja 1.0EGA Transformation of Geodetic Networks 3 Portfolioprüfung ja 1.0

Titel LP Prüfungsform Benotet GewichtSGN Calculation of Satellite Orbits 3 Mündliche Prüfung ja 1.0SGN Current and Future Methods of Navigation and Positioning 6 Mündliche Prüfung ja 1.0SGN Data Communication and Signal Processing in GNSS 3 Mündliche Prüfung ja 1.0SGN Geodetic Space Procedures in Earth System Research 6 Mündliche Prüfung ja 1.0SGN Geoscientific Aspects of Geodesy 3 Mündliche Prüfung ja 1.0SGN Global Navigation Satellite Systems (GNSS) 9 Portfolioprüfung ja 1.0SGN Physical Geodesy 3 Schriftliche Prüfung ja 1.0SGN Planetary Geodesy 6 Mündliche Prüfung ja 1.0SGN Space Geodesy and Navigation I 9 Mündliche Prüfung ja 1.0SGN Space Geodesy and Navigation II 9 Mündliche Prüfung ja 1.0SGN Space Geodesy and Navigation III 9 Mündliche Prüfung ja 1.0

Titel LP Prüfungsform Benotet GewichtGIS Project Geoinformatics 6 Portfolioprüfung ja 1.0


Alle untergeordneten Studiengangsbereiche müssen bestanden werden.

Major subject Space Geodesy and Navigation Unterbereich von 2.2 Major subject Space Geodesy and Navigation Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 15 Leistungspunkte bestanden werden. Es dürfen höchstens 15 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Minor subject Computer Vision and Remote Sensing Unterbereich von 2.2 Major subject Space Geodesy and Navigation Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:

Minor subject Engineering Surveying and Estimation Theory Unterbereich von 2.2 Major subject Space Geodesy and Navigation Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:

Minor subject Geoinformation Technology Unterbereich von 2.2 Major subject Space Geodesy and Navigation Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein:





Es müssen mindestens 9 Leistungspunkte bestanden werden. Es dürfen höchstens 9 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Project seminar Space Geodesy and Navigation Unterbereich von 2.2 Major subject Space Geodesy and Navigation Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 6 Leistungspunkte bestanden werden. Es dürfen höchstens 6 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

2.3 Major subject Engineering Surveying and Estimation Theory Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Alle untergeordneten Studiengangsbereiche müssen bestanden werden.

Major subject Engineering Surveying and Estimation Theory Unterbereich von 2.3 Major subject Engineering Surveying and Estimation Theory Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 15 Leistungspunkte bestanden werden. Es dürfen höchstens 15 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Minor subject Computer Vision and Remote Sensing Unterbereich von 2.3 Major subject Engineering Surveying and Estimation Theory Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:


Titel LP Prüfungsform Benotet GewichtSGN Planetary and Space Science Seminar 6 Portfolioprüfung ja 1.0



Minor subject Geoinformation Technology Unterbereich von 2.3 Major subject Engineering Surveying and Estimation Theory Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:

Minor subject Space Geodesy and Navigation Unterbereich von 2.3 Major subject Engineering Surveying and Estimation Theory Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:

Project seminar Engineering Surveying and Estimation Theory Unterbereich von 2.3 Major subject Engineering Surveying and Estimation Theory Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 6 Leistungspunkte bestanden werden. Es dürfen höchstens 6 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

2.4 Major subject Computer Vision and Remote Sensing Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein:




Titel LP Prüfungsform Benotet GewichtEGA Project Seminar Engineering Surveying and Estimation Theory 6 Portfolioprüfung ja 1.0


Alle untergeordneten Studiengangsbereiche müssen bestanden werden.

Major subject Computer Vision and Remote Sensing Unterbereich von 2.4 Major subject Computer Vision and Remote Sensing Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 15 Leistungspunkte bestanden werden. Es dürfen höchstens 15 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

Minor subject Engineering Surveying and Estimation Theory Unterbereich von 2.4 Major subject Computer Vision and Remote Sensing Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:

Minor subject Geoinformation Technology Unterbereich von 2.4 Major subject Computer Vision and Remote Sensing Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:

Minor subject Space Geodesy and Navigation Unterbereich von 2.4 Major subject Computer Vision and Remote Sensing Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Für diesen Studiengangsbereich sind keine Wahlregeln angegeben. Module in diesem Studiengangsbereich:

Titel LP Prüfungsform Benotet GewichtAutomatic Image Analysis 6 Schriftliche Prüfung ja 1.0Digital Image Processing 6 Schriftliche Prüfung ja 1.0Hot Topics in Computer Vision Seminar 3 Portfolioprüfung ja 1.0Microwave and Radar Remote Sensing 6 Schriftliche Prüfung ja 1.0Optical Remote Sensing 6 Schriftliche Prüfung ja 1.0Photogrammetric Computer Vision 6 Schriftliche Prüfung ja 1.0




Project seminar Computer Vision and Remote Sensing Unterbereich von 2.4 Major subject Computer Vision and Remote Sensing Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 6 Leistungspunkte bestanden werden. Es dürfen höchstens 6 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:

3. Elective subjects Modules from the course catalogue of the Berlin University of Technology or other universities. Thechoice of a language module as well as courses from the special catalogue of interdisciplinary courses(FÜS) is recommended. Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Freie Wahl (Siehe Beschreibung des Studiengangsbereiches)

3. Wahlbereich Unterbereich von 3. Elective subjects Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 12 Leistungspunkte bestanden werden. Es dürfen höchstens 12 Leistungspunkte bestanden werden.

4. Master Thesis Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Alle untergeordneten Studiengangsbereiche müssen bestanden werden.

4. Masterarbeit Unterbereich von 4. Master Thesis Um diesen Studiengangsbereich zu bestehen, müssen die folgenden Bedingungen erfüllt sein: Es müssen mindestens 30 Leistungspunkte bestanden werden. Es dürfen höchstens 30 Leistungspunkte bestanden werden. Module in diesem Studiengangsbereich:


Titel LP Prüfungsform Benotet GewichtProject Hot Topics in Computer Vision A 9 Portfolioprüfung ja 1.0Project Hot Topics in Computer Vision B 9 Portfolioprüfung ja 1.0

Titel LP Prüfungsform Benotet GewichtMasterarbeit Geodesy and Geoinformation Science 30 Abschlussarbeit ja 1.0


Learning Outcomes Project title: "Scientific Process in Computer Vision: From Ideas to Publications" Participants will gain significant insights into computer vision related problems and solutions. The goal is not to explore the whole field ofresearch completely, but rather to confront the participants with the full complexity of one specific problem and to challenge their owninitiative. Therefore we do not provide a pedagogically gentle introduction of the learners to the scientific area, but we allow insights andparticipation in research and development. The ability of the participants to work in a team shall be improved by this module.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Knowledge from the modules "Digital Image Processing" or "Automatic Image Analysis" or "Photogrammetric Computer Vision". Fluent inspoken and written English, programming and math skills

Mandatory requirements for the module test application: No information

Module completion

Project Hot Topics in Computer Vision A

Module title:

Project Hot Topics in Computer Vision A

Credits:

9

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Wöllhaf, Manuel Thomas

Website:

http://www.cv.tu-berlin.de

Display language:

Englisch

E-mail address:

[email protected]

Grading: Type of exam: Language:

graded Portfolio examination100 points in total

English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 86.0 82.0 78.0 74.0 70.0 66.0 62.0 58.0 54.0 50.0

Test description:

No information

Test elements Categorie Points Duration/ExtentPresentation Part II oral 10 5 minutesPresentation Part III oral 10 10 minutesSoftware practical 40 1 klocSummary Part I written 5 1/3 pageWritten report Part II written 10 5 pagesWritten report Part IV written 25 10 pages

20.03.2019 08:07 Uhr Modulbeschreibung #40047 / 9 Seite 1 von 1

Learning Outcomes The capacity for teamwork of the participants shall be strenghten through the module. They will be led to a research and industrially relevantsubject. It is not aspired to explore a specific area completely. The aim of the course is to confrontate the participants with the wholecomplexibility of one issue and to challenge their own initiative. Therefore we do not provide a pedagogically gentle introduction of thelearners to the scientific area, but we allow an insight and participation in research and development of the field.

Requirements for participation and examination Desirable prerequisites for participation in the courses: preferable: depends on topic; e.g. Photogrammetric Computer Vision, Digital Image Processing


Module completion

Project Hot Topics in Computer Vision B

Module title:

Project Hot Topics in Computer Vision B

Credits:

9

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Hellwich, Olaf

Website:


Display language:

Englisch

E-mail address:

[email protected]



German/English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 86.0 82.0 78.0 74.0 70.0 66.0 62.0 58.0 54.0 50.0

Test description:

No information

Test elements Categorie Points Duration/ExtentDocumentation written 35 10 pagesSummary written 5 3 pagesSoftware practical 40 108 hoursPresentation oral 20 2 x 15 minutes


Learning Outcomes The students acquire stepwise competence for the development of image understanding methods. According to computer vision paradigmknowledge-based image analysis methods are developed based on feature extraction. The module clarifies that the learned skills can beused within multifaceted application areas of automatic image understanding.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Knowledge according module „Digital Image Processing" or equivalent is preferable.


Module completion

Automatic Image Analysis

Module title:

Automatic Image Analysis

Credits:

6

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Wöllhaf, Manuel Thomas

Website:

http://www.cv.tu-berlin.de/

Display language:

Englisch

E-mail address:

[email protected]

Grading: Type of exam: Language: Duration/Extent:

graded Written exam English 90 minutes


Learning Outcomes Participants learn basic concepts, their theoretical foundation, and the most common algorithms used in digital image processing. Aftercompleting the module, participants understand strengths and limitations of different methods, are able to correctly and successfully applymethods and algorithms to real world problems, and are aware of performance criteria. More specifically, participants will be able to demonstrate 1) Knowledge of theory and methods of signal processing2) Application to problems of image enhancement and image restoration3) Understanding regarding concepts of feature extraction

Requirements for participation and examination Desirable prerequisites for participation in the courses: none


Module completion

Digital Image Processing

Module title:

Digital Image Processing

Credits:

6

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Hellwich, Olaf

Website:


Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes The participants will be led to a research and industrially relevant subject. It is not aspired to explore a specific area completely. The aim ofthe course is to confront the participants with the whole complexity of one issue and to challenge their own initiative. We provide an insightin the research and development projects of the field. Topics may also include more diverse scientific issues of major social significance.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Preferable: depends on topic; e.g. Module Photogrammetric Computer Vision, Module Digital Image Processing, Module Microwave andRadar Remote Sensing, Module Optical Remote Sensing.


Module completion

Hot Topics in Computer Vision Seminar

Module title:

Hot Topics in Computer Vision Seminar

Credits:

3

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Hänsch, Ronny

Website:


Display language:

Englisch

E-mail address:

[email protected]



English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 86.0 82.0 78.0 74.0 70.0 66.0 62.0 58.0 54.0 50.0

Test description:

No information

Test elements Categorie Points Duration/ExtentContribution to discussion oral 20 No information

Handout (Ergebnisprüfung) written 40 No information

Talk (Ergebnisprüfung) oral 40 15 minutes


Learning Outcomes Qualification aim of this module is to impart methods for signal processing, image enhancement, feature extraction and grouping. Thealumni have learned and practiced to use their skills in multifaceted application areas. The exploration of the relations between physicalreality of the environment and data collected with imaging sensors are emphasized, mathematical modells are used for description.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Knowledge from the module “Optical Remote Sensing” is preferable.


Module completion

Microwave and Radar Remote Sensing

Module title:

Microwave and Radar Remote Sensing

Credits:

6

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Hellwich, Olaf

Website:


Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes The module imparts primarily professional and methodological expertise in analyzing remote sensing data. The exploration of the contextbetween physical reality of the environment and data collected with imaging sensors are in the foreground. Mathematical modells are usedfor description. Data analysis, e.g. object extraction, is conducted with methods of the automatic image analysis. Remote sensing isconceived as an electronical-physically motivated area of computer vision. Interdisciplinary application of the contents are demonstratedusing various illustrative examples from e.g. manufacturing industries to geography, medicine and social sciences.

Requirements for participation and examination Desirable prerequisites for participation in the courses: none


Module completion

Optical Remote Sensing

Module title:

Optical Remote Sensing

Credits:

6

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Hellwich, Olaf

Website:


Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes The course deals with mathematic-physical modelling of a sensor by using the photographic camera as example. The modelling iscompletely expressed by algebraic projective geometry. Not only studying object reconstruction using image data of a multifaceted sensor,but and first of all the complete modelling of technically relevant issues in a homogeneous mathematical framework is important in thiscourse. This framework is also used for 3D-computer graphics. Interdisciplinary application of the contents are demonstrated using variousillustrative examples from e.g. manufacturing industries to geography, medicine and social sciences.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Modul 20363 (Lineare Algebra für Ingenieurwissenschaften)


Module completion

Photogrammetric Computer Vision

Module title:

Photogrammetric Computer Vision

Credits:

6

Responsible person:

Hellwich, Olaf

Office:

MAR 6-5

Contact person:

Hellwich, Olaf

Website:


Display language:

Englisch

E-mail address:

[email protected]




Lernergebnisse Fähigkeit zur Analyse geotechnologischer Probleme bzw. Projekte hinsichtlich der Anwendung geophysikalischer Erkundungs- undÜberwachungsmethoden. Fähigkeit zum Auswählen, Kombinieren und Bewerten der Methoden, zum richtigen Umgang mit Ergebnissen derbenutzten Methoden und Umsetzung der Ergebnisse in geotechnologische Aussagen. Die Veranstaltung vermittelt überwiegend:Fachkompetenz 30%, Methodenkompetenz 40%, Systemkompetenz 20%, Sozialkompetenz 10%

Voraussetzungen für die Teilnahme / Prüfung Wünschenswerte Voraussetzungen für die Teilnahme an den Lehrveranstaltungen: gem. Zugangsvoraussetzungen für das MSc.-Studium Geotechnologie (§ 3)

Verpflichtende Voraussetzungen für die Modulprüfungsanmeldung:

Abschluss des Moduls

Geophysikalische Erkundung in Geotechnologien

Titel des Moduls:

Geophysikalische Erkundung in Geotechnologien

Leistungspunkte:

6

Verantwortliche Person:

Börner, Frank

Sekretariat:

BH 1-1

Ansprechpartner:

Vogler, Horst

Webseite:

Keine Angabe

Anzeigesprache:

Deutsch

E-Mailadresse:

[email protected]

1.) Leistungsnachweis Erkundungsmethoden der Geophysik

2.) Leistungsnachweis Geophysikalische Erkundung in der Praxis

Benotung: Prüfungsform: Sprache:

benotet Portfolioprüfung100 Punkte insgesamt

Deutsch

Notenschlüssel:

Prüfungsbeschreibung:

Keine Angabe

Prüfungselemente Kategorie Punkte Dauer/UmfangHausarbeit schriftlich 25 ca. 5 DIN A4 SeitenKlausur schriftlich 50 90 minProjektpräsentation mündlich 25 10 min


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.

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


Module completion

FOU Adjustment Calculation I

Module title:

FOU Adjustment Calculation I

Credits:

6

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Written exam English 120 Minuten


Learning Outcomes Familiarize students with fundamentals in space and satellite geodesy. Communicate an understanding of the inertial and various globaland local reference and coordinate systems.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Specialised knowledge of maths and physics as well as computer literacy is desirable


Module completion

FOU Introduction to Satellite Geodesy

Module title:

FOU Introduction to Satellite Geodesy

Credits:

6

Responsible person:

Oberst, Jürgen

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Oral exam English 30 Min


Learning Outcomes This module teaches how to describe the gravity field of the Earth and its timely variations. The inner density structure of the Earth, as thecausal property of the Earth’ gravity field, is derived from gravity observations by satellites (f.e. GOCE, GRACE) or terrestrialmeasurements. Scientific methods and mathematical concepts for the functional description of gravity related parameters are introduced.Global Reference Systems based on the gravity potential are defined and used as a basis for the fixation of different (local or global) heightsystems.

Requirements for participation and examination Desirable prerequisites for participation in the courses: FOU Introduction to Satellite Geodesy with Geodetic Reference Systems; Scientific programming language (Matlab, Fortran, C).


Module completion

SGN Physical Geodesy

Module title:

SGN Physical Geodesy

Credits:

3

Responsible person:

Flechtner, Frank

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Written exam English 2 hours


Learning Outcomes After this module the students are familiar with the most important observation methods in space geodesy and how the data is analysed.They know the strengths and weaknesses of the individual techniques, how they contribute to measure the three pillars of geodesy (Earthshape, Earth rotation and Earth gravity field) and what type of phenomena and processes in the Earth system they can observe andmonitor. They understand that only the integrated analysis of a variety of complementary sensors allows the separation of differentprocesses of global change in the Earth system.

Requirements for participation and examination Desirable prerequisites for participation in the courses: FOU Introduction to Satellite Geodesy, knowledge of GNSS technology is desirable.


Module completion

SGN Geodetic Space Procedures in Earth System Research

Module title:

SGN Geodetic Space Procedures in Earth System Research

Credits:

6

Responsible person:

Schuh, Harald

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Oral exam English 30 Minuten


Learning Outcomes After this module the students have a detailed knowledge of the Global Navigation Satellite Systems (GNSS) that are operational today andplanned for the future: The mathematical and scientific strategies for positioning and navigation and the effects important for the errorbudget in navigation and positioning solutions are understood and can be applied to new scenarios.Regarding Mathematical Geodesy, the students will learn about different aspects of Differential Geometry and the Theory of Functions.

Requirements for participation and examination Desirable prerequisites for participation in the courses: FOU Adjustment Calculation I, FOU Introduction to Satellite Geodesy with Geodetic Reference Systems


Module completion

SGN Global Navigation Satellite Systems (GNSS)

Module title:

SGN Global Navigation Satellite Systems (GNSS)

Credits:

9

Responsible person:

Galas, Roman

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Portfolio examination English

Grading scale:

No grading scale given...

Test description:

No information

Test elements Categorie Duration/ExtentOral consultation 50 No information

Exercises 50 No information


Learning Outcomes The goal of this module is to familiarize the students with the basic concepts of celestial mechanics and how to apply these to calculatesatellite orbits. Integration methods for the computation of satellite orbits provide the basis for the evaluation of time series of highly exactmeasuring data, in the time domain as well as in the spectral domain, for the positioning as well as for the collection of the geodynamicchanges of the Earth's surface.

Requirements for participation and examination Desirable prerequisites for participation in the courses: The module SGN Physical Geodesy is strongly recommended; previous knowledge of general analytical and numerical integrationtechniques is mandatory; knowledge of a programming language is desirable.


Module completion

SGN Calculation of Satellite Orbits

Module title:

SGN Calculation of Satellite Orbits

Credits:

3

Responsible person:

Schuh, Harald

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes The module provides an introduction to selected fundamentals of the Global Navigation Satellite Systems including basics of navigation andpositioning in the first semester of the course. Within the second semester the innovative GNSS Earth Observation techniques as aprominent example of innovative developments for the usage of navigation satellites are introduced in detail to provide an advancedmethodological understanding. It include, e.g., ground and space based atmosphere sounding as well as reflectometry to derivegeophysical properties of the atmosphere and Earth surface. The lesson also focuses to related GNSS applications in Geodesy,Geophysics, Oceanography and other fields of Earth System Research including real-time aspects.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Module FOU Introduction to Satellite Geodesy is desirable.


Module completion

SGN Current and Future Methods of Navigation and Positioning

Module title:

SGN Current and Future Methods of Navigation and Positioning

Credits:

6

Responsible person:

Wickert, Jens

Office:

H 12

Contact person:

Wickert, Jens

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes After this module the students control scientific methods of data communication and signal evaluation in global navigation satellite systems.Current fields of research and future developments of data communication and evaluation of GNSS data are pointed out.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Knowledge of maths and computing skills are desirable.


Module completion

SGN Data Communication and Signal Processing in GNSS

Module title:

SGN Data Communication and Signal Processing in GNSS

Credits:

3

Responsible person:

Galas, Roman

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Oral exam English 30-40 Minuten


Learning Outcomes The participants will get familiar with the geoscientific research topics with special emphasis on global geodetic methods.

Requirements for participation and examination Desirable prerequisites for participation in the courses: The allocation of other modules from specialised subject space geodesy and navigation is desirable.


Module completion

SGN Geoscientific Aspects of Geodesy

Module title:

SGN Geoscientific Aspects of Geodesy

Credits:

3

Responsible person:

Wickert, Jens

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes This module enables the students to carry out scientific research, and it supports the social work competence within a team. The studentsare confronted with the full complexity of current research issues in the wider context of "space geodesy and navigation" and will receive anoverview of current research projects as well as currently used geodetic methods in Earth system- and planetary research by theinternational science community. Here, an important goal is to familiarize the students with current literature and publications in planetaryand space geodesy. This module encourages students to identify small and confined research projects and carry out structured work undertight schedule – which shall lead to highly qualified master thesis work later in the curriculum.

Requirements for participation and examination Desirable prerequisites for participation in the courses: The module SGN Physical Geodesy or previous knowledge is mandatory;other modules from the specialised subject space geodesy and navigation are desirable.


Module completion

SGN Planetary and Space Science Seminar

Module title:

SGN Planetary and Space Science Seminar

Credits:

6

Responsible person:

Oberst, Jürgen

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



Grading scale:


Test description:

No information

Test elements Categorie Duration/ExtentOral presentation 50 No information

Written report 50 No information


Learning Outcomes This module teaches how to describe the gravity field of the Earth and its timely variations. Scientific methods and mathematical conceptsfor the functional description of gravity related parameters are introduced. After this module the students control scientific methods ofdifferent navigation and positioning systems, e.g. celestial navigation, inertial navigation systems, satellite navigation systems, navigationwith radio waves, WiFi positioning. Current fields of research and future developments of navigation and positioning are pointed out.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Programming skills.


Module completion

SGN Space Geodesy and Navigation I

Module title:

SGN Space Geodesy and Navigation I

Credits:

9

Responsible person:

Wickert, Jens

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Oral exam English 30 - 40 Minuten


Learning Outcomes The goal of this module is to give students good working knowledge on the architecture and dynamics of the Solar System and to familiarizethem with science goals, methods, and current results of planetary research. In particular, the students are to obtain insights in the currentstate and acting processes of the planets, moons, asteroids, and comets. The course is strongly focused, but not limited to planetarygeodesy and planetary geophysics. The participants will learn the current geoscientific research project with special emphasis on geodeticmethods.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Good knowledge in mathematics and physics are desirable.


Module completion

SGN Space Geodesy and Navigation II

Module title:

SGN Space Geodesy and Navigation II

Credits:

9

Responsible person:

Oberst, Jürgen

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes After this module the students have a detailed knowledge of the Global Navigation Satellite Systems (GNSS) that are operational today andplanned for the future: The mathematical and scientific strategies for positioning and navigation and the effects important for the errorbudget in navigation and positioning solutions are understood and can be applied to new scenarios.Regarding Mathematical Geodesy, the students will learn about different aspects of Differential Geometry and the Theory of Functions.

Requirements for participation and examination Desirable prerequisites for participation in the courses: FOU Adjustment Calculation I, FOU Introduction to Satellite Geodesy, Programming skills.


Module completion

SGN Space Geodesy and Navigation III

Module title:

SGN Space Geodesy and Navigation III

Credits:

9

Responsible person:

Schuh, Harald

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes Students will have profound knowledge about different statistical distributions and how to apply them for hypothesis testing. They are able tosolve adjustment problems with a singular design matrix, e.g. free network adjustment. The students gain profound knowledge in qualityassessment of adjustment results with respect to precision and reliability. They are able to detect blunders in the observations and toevaluate the geometry of adjustment problems from partial redundancies. The main educational objective is that the students will be able tosolve 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 andadjustment calculation for analysis of stochastic processes, e.g. time series analysis.

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.


Module completion

EGA Adjustment Calculation II

Module title:

EGA Adjustment Calculation II

Credits:

9

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

Neitzel, Frank

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Portfolio examination100 points per element

English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 95.0 90.0 85.0 80.0 75.0 70.0 65.0 60.0 55.0 50.0

Test description:

No information

Test elements Categorie Weight Duration/ExtentOral Discussion (Analysis of Stochastic Processes) oral 2 30 MinutesIntermediate Test (Selected Sections of AdjustmentCalculation)

written 6 90 Minutes

Exercises (Analysis of Stochastic Processes) flexible 1 2 SWS


Learning Outcomes Students will have profound knowledge about different point-wise and areal measurement methods and their application in deformationmonitoring or determination of shape, alignment, orientation of structural elements. They are able to carry out the entire process chain fromgeodetic network planning, choice of appropriate sensors and performing measurements in the field. Furthermore the students are able toselect appropriate deformation models and to analyze and present the results, e.g. in interdisciplinary teams.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Participation in the course “Selected Sections of Adjustment Calculation”, profound knowledge of Applied Geodesy, programming skills


Module completion

EGA Engineering Geodesy

Module title:

EGA Engineering Geodesy

Credits:

9

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

Neitzel, Frank

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 95.0 90.0 85.0 80.0 75.0 70.0 65.0 60.0 55.0 50.0

Test description:

No information

Test elements Categorie Points Duration/ExtentOral discussion oral 67 30 MinutenExercises flexible 33 3 SWS


Learning Outcomes The students possess extensive scientific knowledge of the analysis of geodetic deformation measurements including modelling ofdeformation processes

Requirements for participation and examination Desirable prerequisites for participation in the courses: The modules FOU Adjustment Calculation I, FOU Geoinformation Technology, FOU Introduction to Satellite Geodesy with GeodeticReference Systems or previous knowledge are mandatory; knowledge of a programming language is desirable


Module completion

EGA Analysis of Deformation Processes

Module title:

EGA Analysis of Deformation Processes

Credits:

3

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



Grading scale:


Test description:

No information

Test elements Categorie Duration/ExtentWritten report 50 No information

Practical work 25 No information

Oral presentation 25 No information


Learning Outcomes Students will have profound knowledge about the general methodology of one-, two-, and three-dimensional transformation of geodeticnetworks. The main educational objective is the integration of baselines obtained from GNSS measurements and the common adjustmentof GNSS baselines and terrestrial measurements.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Participation in the course “Selected Sections of Adjustment Calculation”, profound knowledge of MatLab / Octave.


Module completion

EGA Transformation of Geodetic Networks

Module title:

EGA Transformation of Geodetic Networks

Credits:

3

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

Neitzel, Frank

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 95.0 90.0 85.0 80.0 75.0 70.0 65.0 60.0 55.0 50.0

Test description:

No information

Test elements Categorie Points Duration/ExtentExercises "Transformation of Geodetic Networks" flexible 1 2 SWSOral Discussion "Transformation of Geodetic Networks" oral 2 30 Minutes


Learning Outcomes The aim is to teach the students to consider the analysis of geoscientific data critically. This should help them to apply the method of leastsquares or some other suitable estimation method appropriately and to chose or develop practicable stable solution strategies.

Requirements for participation and examination Desirable prerequisites for participation in the courses: The module FOU Adjustment Calculation I is mandatory. Extensive knowledge in mathematics (linear algebra, analysis) is desirable.


Module completion

EGA Current Methods of Measurement Data Analysis in Geodesy

Module title:

EGA Current Methods of Measurement Data Analysis in Geodesy

Credits:

3

Responsible person:

Petrovic, Svetozar

Office:

H 20

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Oral exam English ca. 55 Minuten


Learning Outcomes This module is designed for strengthening the capability for scientific work and social competence (team work). In this module the studentsare challenged with the full complexity of a current research topic in the area of engineering geodesy and adjustment calculation. Thus thestudents acquire knowledge with respect to the concepts of the measuring system to be applied, the processing strategy, the data analysisand preparation of the results with respect to interdisciplinary needs. In the course the students get introduced to the tasks to be solved, inthe project they work together in small groups on relevant topics. They get insight to solution methods and to open problems, whichprovides the start for new research activities. This module is designed to introduce the students to current scientific questions, which canlead to high qualified master works.

Requirements for participation and examination Desirable prerequisites for participation in the courses: The module EGA Adjustment Calculation II or previous knowledge is mandatory; other modules from the specialised subject EngineeringGeodesy and Estimation Theory are desirable.


Module completion

EGA Project Seminar Engineering Surveying and Estimation Theory

Module title:

EGA Project Seminar Engineering Surveying and Estimation Theory

Credits:

6

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



Grading scale:


Test description:

No information

Test elements Categorie Duration/ExtentOral presentation 20 No information

Practical measurements 20 No information

Written report 60 No information


Learning Outcomes Students will have profound knowledge about different statistical distributions and how to apply them for hypothesis testing. They are able tosolve adjustment problems with a singular design matrix, e.g. free network adjustment. The students gain profound knowledge in qualityassessment of adjustment results with respect to precision and reliability. They are able to detect blunders in the observations and toevaluate the geometry of adjustment problems from partial redundancies. The main educational objective is that the students will be able tosolve 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 andadjustment calculation to one-, two-, and three-dimensional transformation of geodetic networks, the integration of baselines obtained fromGNSS measurements and the common adjustment of GNSS baselines and terrestrial measurements.



Module completion

EGA Engineering Surveying and Estimation Theory I

Module title:

EGA Engineering Surveying and Estimation Theory I

Credits:

9

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

Neitzel, Frank

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 95.0 90.0 85.0 80.0 75.0 70.0 65.0 60.0 55.0 50.0

Test description:

No information

Test elements Categorie Weight Duration/ExtentExercises (Transformation of Geodetic Networks) flexible 1 2 SWSSecond Test (Selected Sections of Adjustment Calculation) written 3 90 MinutesFirst Test (Selected Sections of Adjustment Calculation) written 3 90 MinutesOral Discussion (Transformation of Geodetic Networks) oral 2 30 Minutes


Learning Outcomes Students will have profound knowledge about different statistical distributions and how to apply them for hypothesis testing. They are able tosolve adjustment problems with a singular design matrix, e.g. free network adjustment. The students gain profound knowledge in qualityassessment of adjustment results with respect to precision and reliability. They are able to detect blunders in the observations and toevaluate the geometry of adjustment problems from partial redundancies. The main educational objective is that the students will be able tosolve 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 andadjustment calculation for calibration of geodetic sensor systems und for fusion of different sensors, e.g. for applications in Structural HealthMonitoring (SHM)



Module completion

EGA Engineering Surveying and Estimation Theory II

Module title:

EGA Engineering Surveying and Estimation Theory II

Credits:

9

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

Neitzel, Frank

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 95.0 90.0 85.0 80.0 75.0 70.0 65.0 60.0 55.0 50.0

Test description:

No information

Test elements Categorie Weight Duration/ExtentIntermediate Test (Selected Sections of AdjustmentCalculation)

written 6 90 Minutes

Exercises (Geodetic Sensors) flexible 1 2 SWSOral Discussion (Geodetic Sensors) oral 2 30 Minutes


Learning Outcomes The goal of this module is to give students good working knowledge on the architecture and dynamics of the Solar System and to familiarizethem with science goals, methods, and current results of planetary research. In particular, the students are to obtain insights in the currentstate and acting processes of the planets, moons, asteroids, and comets. The course is strongly focused, but not limited to planetarygeodesy and planetary geophysics.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Module SGN Physical Geodesy or equivalent (mandatory), good knowledge in mathematics and physics are desirable


Module completion

SGN Planetary Geodesy

Module title:

SGN Planetary Geodesy

Credits:

6

Responsible person:

Oberst, Jürgen

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes No information

Requirements for participation and examination Desirable prerequisites for participation in the courses: No information


Module completion

Masterarbeit Geodesy and Geoinformation Science

Module title:

Masterarbeit Geodesy and Geoinformation Science

Master's Thesis Geodesy and Geoinformation Science

Credits:

30

Responsible person:

Neitzel, Frank

Office:

H 20

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]


graded Thesis English No information

Test description:

No information


Learning Outcomes Students have profound knowledge about principles and methods of geoinformatics as well as geographical information including itsacquisition, modelling, management, processing, analysis, presentation, and dissemination. They are familiar with spatial data models, datastructures, and algorithms and are able to apply them to analytically solve geospatial problems. They understand the principles of object-oriented programming and are capable of implementing common spatial data structures and algorithms.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Computer literacy.

Mandatory requirements for the module test application:

Module completion

FOU Geoinformatics 1

Module title:

FOU Geoinformatics 1

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]

1.) Leistungsnachweis Geoinformatics 1


graded Written exam English 120 Minutes


Learning Outcomes Students understand advanced theoretic concepts of object-relational databases, abstract data types, and spatial and temporal databaseextensions. They are familiar with object-oriented spatial data modeling in the field of geographical information sciences, know how to mapthese models to relational database schemas, and can use spatial database querying languages. They understand the concept of serviceoriented architecture, interoperability in heterogeneous and distributed spatial data infrastructures, and know international standards forgeographical information and how to apply them.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Computer literacy.

Mandatory requirements for the module test application:

Module completion

FOU Spatial Databases and Infrastructures

Module title:

FOU Spatial Databases and Infrastructures

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]

1.) Leistungsnachweis Spatial Databases and Infrastructures




Learning Outcomes Students have a deeper understanding of the concepts and methods used to manage, analyse, and present (geo-)spatial data, theirproperties, and topological relations. They know advanced data models, data structures, and algorithmic techniques for geospatial data andare able to apply and develop these further for solving complex problems in the geospatial context. They are able to define multifaceteddata models and transform between different spatial data representations and data models. They have advanced object oriented designand programming skills.

Requirements for participation and examination Desirable prerequisites for participation in the courses: Successful completion of module FOU Geoinformatics 1.


Module completion

GIS Geoinformatics 2

Module title:

GIS Geoinformatics 2

Credits:

3

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes Students have a deeper understanding about geographical information systems, their architecture, components, and functionality. Theyknow different methods for geometric and topological modelling, various related spatial data structures with different degrees of geometricand topological information, and how to model geospatial data within geographical information systems. They are able to practically expresscomplex geospatial problems within geographical information systems and solve them with geospatial analysis methods. Students understand the main concepts of cartography and their technical implementations. They can distinguish between different forms ofdata and choose appropriate cartographic presentation methods. They are familiar with the concepts behind different cartographicprojection systems, know their applications, can interpret different forms of projections, understand their limitations, transform betweendifferent systems, and choose the appropriate projection for given geographical areas and tasks. They can work with standard geographicalinformation software technologies to generate classical paper maps, digital maps, and web applications in 2D.



Module completion

GIS Geographical Information Systems A

Module title:

GIS Geographical Information Systems A

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes Students understand advanced concepts and methods for geospatial data processing, analysis, and exploration. They know relevant spatialalgorithms and have fundamental knowledge of spatial statistics, spatial data mining as well as pattern analysis, machine learning andoptimization techniques related to spatial data analysis. They can model stochastic concepts of geospatial phenomena and implement themin an object oriented programming environment.



Module completion

GIS Advanced Methods for Geospatial Analysis

Module title:

GIS Advanced Methods for Geospatial Analysis

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes Students understand the concepts and technologies of how to prepare, visualize, and process spatial data on the web. They haveknowledge of internet technologies, web mapping methods, and related data exchange formats. Additionally, they understand advancedmethods for trajectory analysis and spatial data matching. Students are, furthermore, familiar with technologies of geo sensor networksincluding the standardized communication of sensors and complex event handling.



Module completion

GIS Internet, Mobile, and Distributed GIS

Module title:

GIS Internet, Mobile, and Distributed GIS

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes Students understand the concepts of automatic generation and reconstruction of 3D/4D city models. This includes the handling andorganizing of different data sources in suitable data structures and the automatic extraction of geometric, topological, and semanticinformation from 3D point clouds. Students are familiar with methods to automatically detect, extract, and reconstruct building outlines, floorplans, indoor models, and 3D/4D building models. Furthermore, they are capable of generating different levels of detail for variousapplications and they are able to provide models in standardized data exchange formats.



Module completion

GIS Semantic 3D/4D City Models

Module title:

GIS Semantic 3D/4D City Models

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes Students have profound knowledge about selected research topics in the field of geoinformatics. They are acquainted with current methods,algorithms, data structures and modelling techniques used to solve geospatial problems and are able to transfer their knowledge to openresearch questions.



Module completion

GIS Selected Sections of Geoinformatics

Module title:

GIS Selected Sections of Geoinformatics

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes Students understand the concepts of scene modelling in computer graphics, the 3D rendering pipeline, and have advanced knowledgeabout methods and algorithms for visualization and drawing in discrete space. They are familiar with 3D object modelling (including solidmodelling and curved surfaces), decompositions, interpolations, and texture mapping. Furthermore, they know how to apply the learnedmethods for effective presentations of different types of geographical information. Parallel to the given theoretical knowledge, studentsgained practical programming skills using common rendering libraries (e.g. OpenGL) and are capable to design and implement their owntools.



Module completion

GIS Geovisualization

Module title:

GIS Geovisualization

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]




Learning Outcomes This module is designed to impart an advanced level of knowledge and competence to students that is specific to scientific work in the fieldof geoinformatics, geographical information science, and geographical information systems. Students can apply project managementmethods and strategies within a research project, are able to theoretically and practically solve a research problem, and implement theirsolution in a software component.



Module completion

GIS Project Geoinformatics

Module title:

GIS Project Geoinformatics

Credits:

6

Responsible person:

Kada, Martin

Office:

H 12

Contact person:

No information

Website:

No information

Display language:

Englisch

E-mail address:

[email protected]



English

Grading scale:

Note: 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0Punkte: 85.0 80.0 75.0 70.0 65.0 60.0 55.0 50.0 45.0 40.0

Test description:

No information

Test elements Categorie Points Duration/ExtentReport written 85 20 SeitenPresentation and discussion oral 15 15 Minuten


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