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Handbook for the Master programme

Geodesy and Geoinformatics Faculty for Civil Engineering and Geodetic Science 2015

PREVIEW This handbook is available on our homepage: www.gug.uni-hannover.de Date: 31.03.2015

Impressum Publisher Faculty for Civil Engineering and Geodetic Science Leibniz Universität Hannover Dean of studies: Prof. Dr.-Ing. S. Schön Adress: Institut für Erdmessung Schneiderberg 50, 30167 Hannover Telefone: +49 511 762-3362 Fax: +49 511 762-4006 E-Mail: [email protected] Student coordinator: Dipl.-Ing. Tanja Grönefeld Adress: c/o Geodätisches Institut Nienburger Str. 1, 30167 Hannover Telefon: +49 511 762-4408 Fax: +49 511 762-2468 E-Mail: [email protected]

Handbook 2015 Geodesy and Geoinformatics 3

Content

1. MASTER PROGRAMME 5

1.1 Structure of the Master programme 5

2. MODULE DESCRIPTION OF THE MASTER DEGREE PROGRAMME 10

2.1 Compulsory modules in the Master programme 11

2.2 Lectures for the elective module Geodesy 19

2.3 Lectures for the elective module Geoinformatics 27

2.4 Lectures for the elective module „Studium Generale“ 35

2.5 Additional study achievements in master programme 36

3. ADRESSES AND CONTACT PERSONS 38

4 Handbook 2015 Geodesy and Geoinformatics

Register of modules and lectures BASIC SUBJECTS GEODESY

Kinematic Measurement Processes in Engineering Geodesy 11

Methods and Applications of Physical Geodesy 12

Positioning und Navigation II 13

BASIC SUBJECTS GEOINFORMATICS Photogrammetric Computer Vision 14

Internet GIS 15

Land Management and Real Estate Calculation II 16

PROJEKT SEMINAR Project seminar 17

MASTER THESIS Master thesis 18

ELECTIVE MODULE GEODESY Analysis of deformation measurements 20

Industrial surveying 21

Selected topics of geodetic data analysis 22

Geodetic astronomy 23

Satellite Orbit Calculation 24

Research project: Analysis of the gravity field satellite data 25

Gravimetry II 26

ELECTIVE MODULE GEOINFORMATICS Radar Remote Sensing 28

Image Analysis I 29

Image Analysis II 30

Selected Topics in Computer Vision 31

GIS III – Applications and new research directions 32

Laser scanning – modelling and interpretation 33

SLAM and path planning 34

ADDITIONAL STUDY ACHIEVEMENTS Presentation seminar 36

Geodetic excursion 37


1. Master programme 1.1 Structure of the Master programme The master degree programme consists of a compulsory and an elective field such as the elective module „Studium Generale“ and the master thesis. The studies are based on compulsory modules with contents from six specialty fields of Geodesy and Geoinformatics. During the programme a project seminar is to be selected from topics offered by the institutes. A compulsory module is related to the project depending on the chosen topic. In the elective modules “Geodesy” and “Geoinformatics” students select single lectures in the sum of at least 27 credit points (CP). In each of both modules they have to select at least 9 CP. These options offer possibilities to specialise in a specific field as well as to keep a broad overview in all subjects. In order to gain interdisciplinary skills students will select lectures in the sum of 10 CP in the elective module “Studium Generale”. They can choose from the list in this handbook or select courses from the university’s complete lecture catalogue. The programme ends with a master thesis, which takes one semester and 30 CP. The thesis’ results are presented in a colloquium.

6 H

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5 CP

5 CP

5 CP

5 CP

5 Cp

Land Management and Real Estate

Valuation II

12 CP

8 - 10 CP

Compulsary Module tp Project Seminar

30 CP

10 CP

Elective Module "Studium Generale"

2 CP 1 CP

Geodetic ExcursionPresenation Seminar

1. Semester 2. Semester 3. Semester 4. Semester

Geodesy

9 - 18 CP

Elective Module Geodesy Master Thesis

5 CP

Positioning and Navigation II

Geoinformatics

Project Seminar

9 - 18 CP

Elective Module Geoinformatics

Kinematic Measurement Processes in

Engineering Geodesy

Photogrammetric Computer Vision

Internet-GIS

Methods and Applications of

Physical Geodesy

Figure 1: Curriculum for the Master programme

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Module

Lecture Sem. L P S Type **Durat-

ion (min.)

presence prepara-tionexam prepara-

tionwork load CP

Basic course Geodesy

Kinematic Measurement Processes in Engineering Geodesy 1 2 1 0 M 15 42 78 30 150 5Methods and Applications of Physical Geodesy 1 2 1 0 M 15 42 78 30 150 5Positioning and Navigation II 1 2 1 0 M 15 42 78 30 150 5

Basic course Geoinformatics

Photogrammetric Computer Vision 1 2 1 0 M 15 42 78 30 150 5Internet GIS 1 2 1 0 M 15 42 78 30 150 5Flächen- und Immobilienmanagement II 1 2 1 0 M 15 42 78 30 150 5

Project seminar

Project 2 0 0 4 56 84 40 180Project 3 0 0 4 Kolloquium 56 84 40 180 12

Compulsary module to project seminar (examples)Lecture from elective modules 2 2 1 0 M 10 42 48 30 90Lecture from elective modules 2 2 1 0 M 10 42 48 30 90Lecture from elective modules 3 1 1 0 M 10 28 24 20 60 8

*L: lecture, P: practical, S: seminar** S: written exam, M: oral exam

Type * Examination Work load (hrs.)

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Module


ion (min.)


tionwork load CP

Elective Module Geodesy 9-18

Engineering Geodesy and Geodetic Data AnalysisAnalysis of deformation measurements 3 1 1 0 M 15 28 42 20 90 3

Industrial surveying 2 1 1 0 M 15 28 42 20 90 3

Selected topics of geodetic data analysis 2 2 1 0 M 15 42 78 30 150 5

Physical GeodesyGeodetic Astronomy 3 1 1 0 M 15 28 42 20 90 3Satellite Orbit Calculation 2 1 1 0 M 15 28 42 20 90 3Research project: Analysis of the gravity field satellite data 2/3 0 0 3 42 78 0 120 4Gravimetry II 2 1 1 0 M 15 28 42 20 90 3

Elective Module Geoinformatics 9-18

Photogrammetry and Remote SensingRadar Remote Sensing 3 2 1 0 M 15 42 58 20 120 4Image Analysis I 2 2 1 0 M 15 42 58 20 120 4Image Analysis II 3 2 1 0 M 15 42 58 20 120 4Selected Topics in Computer Vision 3 1 1 0 M 15 28 42 20 90 3

Geoinformatics and CartographyGIS III – Applications and Research Directions 2 2 0 0 M 15 28 42 20 90 3Laser scanning – modelling and interpretation 3 2 1 0 M 15 42 78 30 150 5SLAM and path planning 3 2 1 0 M 15 42 58 20 120 4

Land ManagementLand Tenure and Land Policy 2 0 0 2 M 15 28 42 20 90 3

Type Examination Work load (hrs.)

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Module


ion (min.)


tionwork load CP

Elective module "Studium Generale" (examples)

Elective lecture/module 2 depending on lectureElective lecture/module 2 depending on lectureElective lecture/module 3 depending on lectureElective lecture/module 3 depending on lecture 300 10

Master thesis 4 M 30 900 30

Additional study achievements

Presentation seminar 2 0 0 2 15 45 0 60 2Geodetic excursion 3 0 0 0 30 0 0 30 1

Sum MASTER programme 3600 120

Type * Examination Work load (hrs.)


2. Module description of the Master degree programme

Module Modulverantwortlicher Project seminar Depending on project Kinematic Measurement Processes in Engineering Geodesy Dr. Paffenholz Methods and Applications of Physical Geodesy Prof. Flury Positioning and Navigation II Prof. Schön Photogrammetric Computer Vision Prof. Heipke Internet GIS apl. Prof. Brenner Land Management and Real Estate Valuation II Prof. Voß Compulsary module to the project seminar Depending on project Elective module Geodesy Prof. Müller Elective module Geoinformatics Prof. Sester Elective module „Studium Generale“ Dean of studies Master thesis Examinator Presentation seminar Dean of studies Geodetic Excursion Organising Institute


2.1 Compulsory modules in the Master programme

Kinematic Measurement Processes in Engineering Geodesy compulsory module for master programme

Lectures Sem. Type/hrs ECTS Staff

Kinematic Measurement Processes in Engineering Geodesy

1 2V/1Ü 5 Dr. Paffenholz / M. Sc. Zhang

Module the lecture is associated to Basic course Geodesy 1

Examination oral exam (15 minutes)

Course work Accepted lab work

Aim of the module The students shall broaden their methodical knowledge in the scope of engineering geodesy with the focus on kinematic measurement systems and tasks. As fundamentals for their further Master studies, the students shall advance their analysis skills as well as transferability skills. Lecture content Lecture: Overview of recent sensors and sensor systems in engineering geodesy; kinematic measuring systems and geodetic monitoring tasks (fundamentals: measurement configurations und evaluation methods); analysis of continous measurement data (stochastic processes, time series, covariance analysis, Fourier analysis, outline of filter theory), optimisation of measurement configurations . Lab work: Use of practical examples to learn and deepen the lecture contents: control of an automatic tacheometer, synchronisation of sensors with regard to their fusion in measurement systems for kinematic measuring tasks; Analysis and interpretation of typical data series. Required prior knowledge -

Recommended prior knowledge -

Media Digital projector, black board, copis of slides (via StudIP), lab equipment, demonstrative experiments, programming code snippets (mostly Matlab) Literature • Heunecke, O.; Kuhlmann, H.; Welsch, W.; Eichhorn, A.& Neuner, H. (2013): Auswertung geodätischer Überwachungsmessungen. In: Michael Möser, Gerhard Müller und Harald Schlemmer (Hg.): Handbuch Ingenieurgeodäsie. 2., neu bearbeitete und erweitere Auflage. Berlin, Offenbach: Wichmann. • Schlittgen, R., Streitberg, B.: Zeitreihenanalyse. Oldenbourg, München, 1997. • Schwieger, V.; Foppe, K. (2004): Kinematische Messmethoden. "Vermessung in Bewegung". 58. DVW-Seminar. Stuttgart, 17-18 Februar. DVW-Arbeitskreis 3 "Messmethoden und Systeme". Augsburg: Wißner-Verlag (Schriftenreihe des DVW, 45). • Stempfhuber, Werner (2004): Ein integritätswahrendes Messsystem für kinematische Anwendungen. PhD thesis. München: DGK (Reihe C, 576). Special notes -

Language English


Methods and Applications of Physical Geodesy compulsory module for master programme


Methods and Applications of Physical Geodesy 1 2V/1Ü 5 Prof. Flury / Dipl.-Ing. Bandikova

Module the lecture is associated to Basic course Geodesye 2

Examination written exam (60 minutes)


Aim of the module The students will gain deeper knowledge in the whole spectrum of the physical geodesy. They will get to know the current applications and projects for ingeneering surveying and for Earth system research and they will learn apply the methods of physical geodesy in those areas. Through the lab work the students will enhance their analysis and transfer skills which are necessary for the further master course. Lecture content The fundamental concepts and methods for the gravity field parameter estimation and modeling will be repeated, extended and deepened through the lab work. The applications for the tasks of modern surveying (e.g. precise height determination) will be discussed. It will be shown how the Earth gravity field data, obtained from satellite measurement, provide new insights into geosciences and climate research. Also, an overview about further areas of physical geodesy (e.g. Earth rotation) will be given. Required prior knowledge -

Recommended prior knowledge Relevant knowlegde from the bachelor courses, especially Physical Geodesy

Media Black board, data projector Literature Torge, W.: Geodäsie. de Gruyter, Berlin 2003 (2. Auflage) Hofmann-Wellenhof/Moritz: Physical Geodesy, Springer, Wien, 2005 Lecture notes: Physikalische Geodäsie Special notes Additionally, the level of knowledge will be checked in a midterm exam.

Language English


Positioning und Navigation II compulsory module for master programme


Positioning und Navigation II 1 2V/1Ü 5 Prof. Schön / Dipl.-Ing. Lindenthal

Module the lecture is associated to Basic course Geodesy 3



Aim of the module The knowledge in posistioning and navigation is extended and deepened. It serves as a basis for further studies during the matser course. Thanks to practical exercises the students' analyitcal and transfer competences will be improved. Lecture content - recapitulation of GNSS observations and basic positioning concepts - advanced GNSS error and variance-covariance models - carrier phase ambiguity resolution - Precise Point Positioning (PPP) - Satellite-based Augmented Systems (SBAS) - Concepts of integrity Required prior knowledge -

Recommended prior knowledge Grundlagen der GNSS/Satellitengeodäsie, Positionierung und Navigation I

Media Beamer, board Literature Hofmann-Wellenhof, B.: Navigation, Springer-Verlag, Wien New York 2003 Seeber, G.: Satellite Geodesy. Foundations, Methods, and Applications. De Gruyter, Berlin 2003 Teunissen, P, Kleusberg A.: GPS for Geodesy Springer-Verlag, Berlin New York 1998 Ventura-Traveset, J., Flament D. (Hrsg.): EGNOS: The European Geostationary Navigation Overlay System – A cornerstone of Galileo. ESA Publications Division, Noordwijk 2006 Special notes Exercises in MATLAB, practical GNSS measurements

Language English


Photogrammetric Computer Vision compulsory module for master programme


Photogrammetric Computer Vision 1 2V/1Ü 5 Prof. Heipke / M.Sc. Reich

Module the lecture is associated to Basic course Geoinformatics 1



Aim of the module After studying the module the students have a good overview and detailed knowledge of some exemplary methods of 3D reconstruction from images and image sequences (shape from motion, sfm). They understand the geometric transformations between image and object space, the usual procedures for pose estimation of moving sensors and basics of signal theory as applied to image matching. Students can thus evaluate pros and cons of sfm. In the lab part, carried out in small groups, image sequences are captured using flying robots; these image sequences are being exploited using available software. In this way the students come to gain practical experience of digital image capture and geometric 3D reconstruction and can evaluate the obtained results. Lecture content Short introduction into aims, commonalities and differences of photogrammetry and computer vision, 3D image processing, projective geometry: transformation between image and object space, in linear models. Robust estimation (RANSAC). Different methods to represent 3D rotations (Euler angles axis-angle representation, quaternions). Shape from motion (sfm) from stereoscopic images and image sequences: interest operators (SIFT, SURF), sliding pose estimation, dense image matching, determination of object geometries,. Methods for evaluation of results of image based approaches. Required prior knowledge -


Media Digital projector, black board, copies of slides (via StudIP), videos Literature David A. Forsyth and Jean Ponce (2003). Computer Vision, A Modern Approach. Prentice Hall. Richard Hartley and Andrew Zisserman (2003). Multiple View Geometry in Computer Vision. Cambridge University Press. Klette, Koschan, Schlüns, Computer Vision, Räumliche Information aus digitalen Bildern, Vieweg Technik Publishers, ISBN 3-528-06625-3 http://www.cs.cmu.edu/~cil/vision.html Special notes -

Language English


Internet GIS compulsory module for master programme


Internet GIS 1 2V/1Ü 5 Prof. Sester / Eggert / Kuntzsch / Fitzner




Aim of the module In this course you will learn key concepts in Internet-GIS, Web-cartography and multimedia visualiziation. At the end of this course you will have learned how to assess and apply the presented algorithms and datastructures. Practical exercises build the foundation for further development of analytic and transfer skills needed for the subsequent master studies. Lecture content Data and service provider standarts and implementations; data formats for internet applications; internet-based data provision and access; multimedia design elements. Required prior knowledge -

Recommended prior knowledge Introductions into GIS and into Programming

Media Beamer, board Literature Korduan, P., Zehner, M.L.: Geoinformation im Internet: Technologien zur Nutzung raumbezogener Informationen im WWW, Wichmann Verlag, Heidelberg, 2008, ISBN 3-87907-456-9, 314 Seiten. OGC web page: http://www.ogc.org E-Learning-Module: http://www.geoinformation.net Special notes -

Language English


Land Management and Real Estate Calculation II compulsory module for master programme


Land Management and Real Estate Calculation II

1 2V/1Ü 5 Prof. Voß / Dr. Schaffert




Description following soon on this webpage Special notes Language

English


Project seminar compulsory module for master programme


Project seminar 2 3

4S 4S

12 different staff members

Module the lecture is associated to Project seminar

Examination final colloquium at the end of 3rd semester

Course work final report, project presentation

Aim of the module The project seminar supports scientific learning and thinking. Applications and the critical discussion of special knowledge are the most important topics. The goal of this module is for students to independently work in small groups on a given project. This includes the analysis of the problem, project planning, the organisation and field work, and the derivation as well as a critical evaluation of the obtained results. The results will be presented in a report and in an oral presentation. Lecture content The institutes of Geodesy and Geoinformatics offer different projects each year. The student work is done in the frame of a project seminar, which takes place during the 2nd and 3rd semester. It comprises practical work such as data acquisition, data analysis, and evaluation and presentation of results. Besides the practical work students and staff will discuss different relevant methods, partly by means of presentation. Students will participate in the project planning and organisation. The practical and independent work will strengthen the students specialised knowledge and develop their responsibility and independence. The project results are submitted in a written final report from the group. The conclusions are also presented in a common event with the other project groups at the end of the third semester. Each group has one hour for the presentation. The successful participation is to be proven in a final colloquium (with a grade). Contents of the compulsory lectures, which go along with the project, can be subject of questions in the colloquium. Required prior knowledge -


Media - Literature Will be given to each project individually. Special notes In a common event at the end of the first M.Sc. semester staff members present the different projects for the following year. The student choose a project. Each project is supervised by at least one staff member, who is available for additional information and support of the students. Compulsory lectures comprising at least 8 ECTS points are part of the project. The lectures to be taken are named by staff during the initial project presentation.

Language English


Master thesis compulsory module for master programme


4 900 h 30

Professors / academic staff

Module the lecture is associated to Master thesis

Examination Master thesis and colloquium (30 Minuten, no grade)

Course work -

Aim of the module In a master thesis students acquire skills to develop and apply scientific methods in order to independently solve a complex task. The assignment comes from the field of Geodesy and Geoinformatics or related areas, the goal has to be achieved in a certain time. How to obtain a topic In order to obtain a topic students have to apply at the examination office after consultation with the supervisor. According to the examination rules students have to acquire at least 30 ECTS before being allowed to start the master thesis. Thesis work can start at any time during the year. The application date, the start date and the topic are registered at the examination office. An application form is available at the examination office and at the examination board office. After six months two copies of the thesis are to be handed in at the examination office. The date of submission is registered officially. Required prior knowledge The contents of the master thesis are presented in an oral colloquium of approximately 30 min incl. questions, in which the student has to prove his/her ability to independently work on the topics of the thesis using scientific methods and to discuss the obtained results with peers and supervisors. The colloquium comprises the demonstration of the content of the master thesis and its results in an oral presentation including a discussion with the examiner and other scientific staff. The thesis must have been preliminarily graded with at least “sufficient” (4,0) for the student to be admitted to the colloquium. The colloquium should take place during the three weeks following submission of the master thesis. The master thesis is graded by two examiners. Each examiner derives a final grade consisting of the grade of the thesis (85%) and the grade of the colloquium (15%). Media Literature Special notes Language

English or German


2.2 Lectures for the elective module Geodesy The elective module „Geodesy“ can be studied by electing lectures from three different fields:

• Engineering Geodesy and geodetic data analysis

• Physical Geodesy and

• Positioning and Navigation (see above list and following lecture descriptions). Students choose lectures in an amount of 9-18 CP, so that the sum of both elective modules („Geodesy“ and „Geoinformatics“) is at least 27 CP.


Analysis of deformation measurements lecture for elective module Geodesy


Analysis of deformation measurements 3 1V/1Ü 3 Prof. Neumann / Dipl.-Ing. Hartmann

Module the lecture is associated to elective module Geodesy

Examination oral exam (15 min)



English


Industrial surveying lecture for elective module Geodesy


Industrial surveying 2 1V/1Ü 3 Prof. Neumann / Dipl.-Ing. Stenz





English


Selected topics of geodetic data analysis lecture for elective module Geodesy


Selected topics of geodetic data analysis 2 2V/1Ü 5 Prof. Neumann / Dr. Alkhatib





English


Geodetic astronomy lecture for elective module Geodesy


Geodetic astronomy 3 1V/1Ü 3 Prof. Flury/ Dipl.-Ing. Bandikova / Dipl.-Ing. Hofmann




Aim of the module The students will learn the fundamentals and selected techniques of geodetic astronomy as well as their practical application. They will be taught how to organize and perform precision measurements and how to the critically evaluate the results. Lecture content Fundamentals of astronomy and geodetic astronomy; astrometric sensors; astrogeodetic gravity field and geoid determination; transpotable zenith camera; almucantar technique; astronomic leveling; time measurement and time transfer; fundamental astronomy; astrometric satellite missions; star catalogues; traditional geodetic-astronomic techniques for determination of latitude, longitude and azimuth. Required prior knowledge Methods and Applications of Physical Geodesy

Recommended prior knowledge Relevant knowledge from the bachelor courses

Media Beamer, board Literature Schödlbauer – Geodätische Astronomie, De Gruyter, 2000 Special notes Lab: practical measurements and computations

Language English


Satellite Orbit Calculation lecture for elective module Geodesy


Satellite Orbit Calculation 2 1V/1Ü 3 Dr. Mai




Aim of the module The students should get familiar with basic methods of numerical as well as analytical satellite orbit calculation and recognize its importance for genuine geodetic tasks. Especially, this course focuses on the autonomous development and implementation of software routines and the respective visualization of given complex motion problems in different scenarios. The students will improve their skills regarding a critical assessment of computation results. Lecture content Computation and visualization of satellite orbits w.r.t. various reference systems (quasi-inertial, body-fixed, topocentric); computation of time-varying Keplerian elements (osculating elements); analytical treatment of gravitationally perturbed satellite trajectories; numerical integration of satellite orbits, which are gravitationally perturbed by Earth’s gravitational field, third body attraction, etc.; numerical treatment of non-gravitational forces like atmospheric drag, or solar radiation pressure; consideration of relativistic effects. Required prior knowledge -

Recommended prior knowledge relevant content of the bachelor‘s program, methods and applications of physical geodesy

Media blackboard, beamer, StudIP Literature Vallado, D.A.: Fundamentals of Astrodynamics and Applications, Space Technology Series, McGraw-Hill Schneider, M.: Himmelsmechanik Bd.e I-IV, B.I. Wissenschaftsverlag Special notes Homeworks require programming skills, e.g., using MATHEMATICA or MATLAB

Language English


Research project: Analysis of the gravity field satellite data lecture for elective module Geodesy


Research project: Analysis of the gravity field satellite data

2/3 3S 4 Prof. Flury


Examination practical work: final report and presentation

Course work software module

Aim of the module The students learn techniques to analyze satellite data. They practice the development of efficient software tools and the interpretation and description of computation results. They experience how to work in science and obtain insight into the potential of Earth observation techniques. Lecture content Tasks from the following fields: Analysis of data from GRACE, GOCE, Swarm or other satellite missions to determine variations of gravity and mass redistribution in the Earth system Development and testing of software modules for satellite data analysis (accelerometer data, ranging, star cameras) Identification of signal and noise contributions Analysis of residual air drag and radiation pressure Analysis of mass variations (ice mass, hydrology, etc.) Required prior knowledge -

Recommended prior knowledge Coding skills (Matlab, other)

Media - Literature - Special notes For every participant, a project task is defined, such as a research question or a software module to be developed. The task will be solved individually by each participant, in collaboration with the research group of the lecturer. The required time is about 4 weeks. The schedule is agreed on with the participant. The schedule can include the time between semesters.

Language English


Gravimetry II lecture for elective module Geodesy


Gravimetry II 2 1V/1Ü 3 Dr. Timmen




Aim of the module The prospective geodesist is to be able to deploy gravimetric methods as well as data evaluation and analysis methods in geodetic and interdisciplinary fields. He obtains the knowledge to apply gravimetry for special geoscientific issues. The students gather practical experiences and competence in exercises to deal with gravity networks and with gravity field interpretation. Lecture content Measuring techniques; airborne gravimetry; optimization of gravity networks; modelling of terrestrial mass movements; relationship between variations in gravity, height and geoid; inversion of gravity data; geophysical interpretation (introduction) Required prior knowledge Basics from bachelor courses: Physical Geodesy, Gravimetry, Adjustment Computation, Statistics; computer programming


Media Board, beamer Literature Torge, W. (1989): Gravimetry. De Gruyter. Torge, W. and Müller, J. (2012): Geodesy. 433 pages, De Gruyter. Long, L. T., and Kaufmann, R. D. (2013): Acquisition and Analysis of Terrestrial Gravity Data. 169 pages, Cambridge University Press. Titterton, D.H., Weston, J.L. (1997): Strapdown inertial navigation technology. Peter Peregrinus Ltd., UK. Special notes Minimum number of participants: 5

Language English


2.3 Lectures for the elective module Geoinformatics The elective module „Geodesy“ can be studied by electing lectures from three different fields:

• Photogrammetry and Remote Sensing

• Geoinformatics and Cartography and

• Land Management and Real Estate Valuation II

Students choose lectures in an amount of 9-18 CP, so that the sum of both elective modules („Geodesy“ and „Geoinformatics“) is at least 27 CP.


Radar Remote Sensing lecture for elective module Geoinformatic


Radar Remote Sensing 3 2V/1Ü 4 N.N. N.N.

Module the lecture is associated to elective module Geoinformatic



Aim of the module At the end of the lecture the students know the basics of imaging radar sensors, radar processing as well as further processing and applications in remote sensing. They have gained the possibility to investigate exemaplry research questions in radar remote sensing. Lecture content Basics of radar technology; imaging radar; radar with synthec aperture (SAR); Processing of radar signals to SAR images; SAR polarimetry; Generation of height models by SAR interferometry; Determination of surface deformations using differential interferometrie; Automatic processing of radar images; airborne and space borne SAR sesnor systems. Application of radar remote sensing in geodesy, agriculture, forestry, oceanography, environmental sciences etc. Current research trends: SAR tomography, bi-static SAR etc. Required prior knowledge -


Media Digital projector, black board, copis of slides (via StudIP), videos Literature Slide copies Special notes Language

English


Image Analysis I lecture for elective module Geoinformatic


Image Analysis I 2 2V/1Ü 4 apl. Prof. Rottensteiner




Aim of the module The students will get to know a general strategy for knowledge-based image analysis, including all the required intermediate steps. In the lab course, the students will gain practical experience in addition to the theoretical knowledge taught in the lecture by developing their own image analysis modules. In addition, the lab will train the students’ problem solving skills. Lecture content The course starts with a brief overview about imaging sensors and image pre-processing techniques. After that, the concept of scale space is introduced. This is followed by a block of lectures dealing with different aspects of image segmentation, including specific methods for extracting points, edges and regions as well as a generic framework delivering all these features. This lecture block is completed by an overview about methods for post-processing the segmentation results and for feature grouping. After that, fundamental aspects of knowledge-based image analysis are discussed. We start with the definition of feature vectors from image data, which is followed by a discussion of the role of models in image analysis and formal options for knowledge representation. Finally, the generic structure of knowledge-based image analysis systems and the general strategies used for image analysis in such systems are discussed. The course finishes with a lecture block on methods for internal and external evaluation. Lab: Development of image analysis modules based on Matlab. Required prior knowledge -

Recommended prior knowledge Photogrammetric Computer Vision

Media Beamer, blackboard, StudIP, computer Literature Forsyth, D.A., Ponce, J., Computer Vision, A Modern Approach, Prentice Hall, 2003. Special notes Language

English


Image Analysis II lecture for elective module Geoinformatic


Image Analysis II 3 2V/1Ü 4 apl. Prof. Rottensteiner / M. Sc. Albert




Aim of the module The students should get to know and understand modern statistical methods of pattern recognition, along with their theoretical foundations and current applications. By analyzing state-of-the art scientific papers in the lab, the students’ analytic and methodological skills should be strengthened. Lecture content The first part of this module covers supervised and unsupervised methods for classification. This block starts with a discussion of Bayesian classification, including aspects of generative modeling of probabilities and the estimation of the parameters of these models. After that, there is a transition to discriminative classifiers, introducing logistic regression, Support Vector Machines, Boosting, and Random Forests. Artificial neural networks and the theory of Dempster-Shafer are also presented in this context. This is followed by an introduction into unsupervised techniques for an analysis of clusters in feature space. Graphical models, in particular Bayes networks and statistical models of context as provided by Markov Random Fields and Conditional Random Fields are also discussed. The lecture finishes with a lecture block on active contours and their applications in image analysis. Lab course: Analysis of scientific papers. Required prior knowledge -

Recommended prior knowledge Image Analysis I

Media Beamer, blackboard, StudIP, computer Literature Bishop, C.M., Pattern Recognition and Machine Learning, Springer Verlag, 2006. Duda, R.O., Hart, P.E., Strok, D.G., Pattern Classification,2nd ed., John Wiley & Sons, 2001. Special notes Language

English


Selected Topics in Computer Vision lecture for elective module Geoinformatic


Selected Topics in Computer Vision 3 1V/1Ü 3 Dr. Bulatov




Aim of the module At the end of the lecture the students have a good overview in selected topics of computer vision. The basics of geometric reconstruction (multi-view geometry) are in the focus and also form the base of the lab work, which is carried out in small groups. In addition, applications from objet recognition, and medical imaging are presented. Lecture content Fast algorithms for orientation of image pairs with the example of the 5 point algorithm: Motivation, theoretical basics (Gröbner bases, analysis of degenerate configurations). Additional applications (omni-directional cameras, geometric reasoning). Discrete non-local optimisation in CV: extraction of depth maps (as motivation), dynamic programming (focus), semi-global optimisation, graph-based methods, TGV-fusion, additional applications (classification). Context based modelling of urban areas: building detection and reconstruction. Implicit shape models and applications for person detection and recognition. Registration of deformable objects and applications in medical image processing. Required prior knowledge -


Media Digital projector, black board, copis of slides (via StudIP), videos Literature Richard Hartley and Andrew Zisserman (2003). Multiple View Geometry in Computer Vision. Cambridge University Press. Richard Szeliski (2010): Computer Vision, Springer, London, 82,20 €, szeliski.org/Book/, see also www.eecs.berkeley.edu/~trevor/CS280.html http://www.cs.cmu.edu/~cil/vision.html Advanced references for Gröbner bases: David Cox, John Little, Donal O’Shea (2007): Ideals, Varieties, and Algorithms; An Introduction to Computational Algebraic Geometry and Commutative Algebra. Springer Special notes -

Language English


GIS III – Applications and new research directions lecture for elective module Geoinformatic


- GIS III – Applications and new research directions

2 2V 3 Prof. Sester



Course work -

Aim of the module In the course current research topics in cartography and geoinformatics are presented. In this way, the students get acquainted with the state of the art in the domain. Lecture content The course presents current research topics, e.g. spatial query, multiple representation, trajectory analysis, Artificial Intelligence. The topics may vary and are adapted to current research topics of the institute. Required prior knowledge -

Recommended prior knowledge GIS II

Media Powerpoint slides Literature selected conference or journal papers Special notes -

Language English


Laser scanning – modelling and interpretation lecture for elective module Geoinformatic


Laser scanning – modelling and interpretation 3 2V/1Ü 5 apl. Prof. Brenner




Aim of the module The students know selected techniques and algorithms for the low-, intermediate- and high-level processing of laser scanning data and their respective application areas. Lecture content Airborne, terrestrial and mobile mapping laser scanning: scan geometry and technical characteristics. Low-, intermediate- and high-level tasks. Representation of 3D rotations: matrix, angles, axis+angle, quaternions. Estimation of similarity transforms and the iterative closest point algorithm. Estimation and segmentation of lines and planes. Region growing, RANSAC and MSAC, Hough transform, scanline grouping. Scanning and segmentation in robotics applications. Decision trees and random forests for the classification of point clouds. Markov chains and Markov chain Monte Carlo methods and their use for high-level interpretation. In the exercises, selected algorithms will be programmed. Required prior knowledge Recommended prior knowledge

GIS I + II, Programming skills Media Literature Vosselman, Maas: Airborne and Terrestrial Laser Scanning, Whittles Publishing 2010. Special notes -

Language English


SLAM and path planning lecture for elective module Geoinformatic


SLAM and path planning 3 2V/1Ü 4 apl. Prof. Brenner




Aim of the module The students know the problems of localization, mapping, and simultaneous localization and mapping (SLAM), as well as elementary methods for path planning. They have programmed selected methods and are thus able to understand the modules of available robotics packages. Lecture content Robot motion model. Laserscanning and landmark detection. Positioning using estimation of a similarity transform. Iterative closest point method. Bayes filter. Parametric filters and the Kalman filter. Variances and error ellipses. Extended (EKF) and multidimensional Kalman filter. Histogram- and particle filter. EKF SLAM. Rao-Blackwellized particle filter SLAM (FastSLAM). Path planning: Dijkstra and A* algorithms, potential functions, path planning in the kinematic state space. In the exercises, most of the algorithms will be programmed using Python. Required prior knowledge -


Media Literature S. Thrun, W. Burgard, D. Fox, Probabilistic Robotics, MIT Press, 2005. H. Choset u.a., Principles of Robot Motion, Theory, Algorithms, and Implementations, MIT Press, 2005. Special notes -

Language English


2.4 Lectures for the elective module „Studium Generale“ In the elective module „Studium Generale“ lectures and modules from the above list or from the list „Allgemeinbildende Fächer“ in the bachelor degree programme can be selected. Students can also select lectures and courses from the university’s whole programmes to acquire additional and interdisciplinary skills. In this elective module students have to get 10 CP. If students choose lectures, that are not listed above or in the bachelor handbook Geodesy and Geoinformatics, the chosen lectures or courses have to be admitted by the examination board. They can only select two language courses, which are not in their mother tongue. They can choose seminars from the ZfSk (soft skills centre) up to 5 CP. www.zfsk.uni-hannover.de.

Lectures for "Studium Generale"

Lehrveranstaltung/Modul WS SS Art der Prüfung LP

V / Ü V / Ü Einführung in das Recht für Ingenieure*) 2/0 90 s 3

Technikrecht I*) 2/0 2/0 120 s 4

Technikrecht II*) 2/0 2/0 120 s 4

Volkswirtschaftslehre*) 2/0 60 s 4

Einführung in die Geologie*) 2/0 90 s 3 Einführung in die Mechatronik**) 2/1 90 s 4 Robotik I**) 2/1 90 s 4

Grundlagen der Regelungstechnik**) 2/1 90 s 4

Rechnergestützte Szenenanalyse**) 2/1 30 m 4

Computer Vision**) 2/1 30 m 4

Grundlagen der Software-Technik**) 2/1 60 s 4

Softwareanforderungen und -entwurf**) 2/1 30 m 4

Softwarequalität**) 2/1 60 s 4

Künstliche Intelligenz I**) 2/1 90 s 4

Semantic Web**) 2/1 60 s 4

Grundlagen der Betriebswirtschaft und Unternehmensführung I und II

1/0 1/0 10 m 3

Führung als Qualifikation im Ingenieurberuf 1/0 30 s 2

Ringvorlesung „Transformation des Energiesystems“ 2/0 - 1

*) s. Wahlkatalog „Allgemeinbildende Fächer“ im Bachelor **) s. Modulkatalog Maschinenbau, Elektrotechnik bzw. Informatik


2.5 Additional study achievements in master programme

Presentation seminar additional study achievement for master programme


Presentation seminar 2 2 S 2 Professors and further staff members

Module the lecture is associated to Additional study achievement

Examination -

Course work see special notes

Aim of the module The presentation seminar serves the development of independent work in a specialised topic based on different professional articles and its oral presentation in a limited time in front of a professional audience. The students deepen their oral and written presentation skills and also moderate the presentation event. Lecture content The presentation seminar takes place in the second semester. Based on different references, which students research themselves, they discuss an current topic from Geodesy or Geoinformatics. The presentation time is 15 minutes and is followed by a discussion on the presented topic. Students show a deepend knowledge of the topic in this discussion. A written report (digital document) is to be submitted to the supervisor three weeks after the presentation. The list with topics and supervising staff members is handed out to the students at the end of the first semester. Initial literature is handed out on an individual basis. Required prior knowledge -


Media Literature Is beeing recommended by staff depending on the chosen topic. Special notes A regular participation, a successfull presentation and an approved written report are required to pass the course work. The presentation is not graded. For didactical reasons the presentation is beeing reviewed by the staff members at the end of each single presentation. The written report is checked by the supervising staff member. If the presentation is not accepted a new topic is given to the student. The new topic can be presented in the same or the following semester.

Language English


Geodetic excursion additional study achievement for master programme


Geodetic excursion 3 1 1 Professors, scientific assistants

Module the lecture is associated to Additional study achievement

Examination -

Course work see special notes

Aim of the module In the geodetic excursion students obtain an interesting overview of professional institutions. It serves to intensify the relation between studying and working as a professional. Besides the professional aspects the excursion also offers visits of cultural events and places of the region in which the excursion takes place. Lecture content The 5-10 day excursion usually takes place during the lecture break in September or October or in the week after Whitsunday. The destination is announced be the organising institute. 2016 IPI to be announced 2015 IPI Northern Germany 2014 IfE Netherlands 2013 IfE Southern Germany 2012 IKG Poland 2011 IKG Northern and Eastern Germany 2010 GIH Switzerland 2009 GIH West- and Southern Germany The geodetic excursion is organised by one of the four institutes. The detailed programme is assembled by all institutes together. Required prior knowledge -


Media Literature Special notes The participation in the geodetic excursion is a mandatory element of the master degree programme. Participation will be certified by a receipt from the organising institute. Students have to pay a fee, which can amount to up to 250€ for excursions abroad. Members of the “Förderergesellschaft” receive a substantial contribution to this fee.

Language


3. Adresses and contact persons 3.1 Services at Leibniz Universität Hannover 3.2 Institutes of Geodesy and Geoinformatics 3.3 Internal Services 3.4 Student council


7.1 Services at Leibniz Universität Hannover The ServiceCenter is placed in the main university building. Contact:

ServiceCenter Leibniz Universität Hannover Welfengarten 1 30167 Hannover Tel. +49 511.762 - 2020 (Servicehotline) Fax +49 511.762 - 19385 [email protected]

opening hours:

Monday to Thursday 10.00 to 17.00 o’clock Friday and before holidays 10.00 to 15.00 o’clock

Service-Hotline (05 11) 762 - 20 20, always open one hour before the ServiceCenter opens, which means at 9:00 o’clock. The ServiceCenter comprises the following services:

Registration office (I-Amt) and admissions http://www.uni-hannover.de/i-amt

Central study counselling (ZSB) http://www.uni-hannover.de/zsb

Examination office (APA) http://www.uni-hannover.de/pruefungsamt

International office (HI) http://www.uni-hannover.de/internationaloffice

Student Services Organisation Hanover http://www.studentenwerk-hannover.de

Psychological counselling (ptb) http://www.ptb.uni-hannover.de


7.2 Institutes of Geodesy and Geoinformatics

Geodätisches Institut Hannover (GIH)

Nienburger Str. 1 30167 Hannover Fon: +49 511 762-2462 Fax: +49 511 762-2468 http://www.gih.uni-hannover.de

Institut für Photogrammetrie und GeoInformation (IPI)

Nienburger Str.1 30167 Hannover Fon: +49 511 762-2482 Fax: +49 511 762-2483 http://www.ipi.uni-hannover.de

Institut für Erdmessung (IFE)

Schneiderberg 50 30167 Hannover Fon: +49 511 762-2795 Fax: +49 511 762-4006 http://www.ife.uni-hannover.de

Institut für Kartographie und Geoinformatik (IKG)

Appelstraße 9 30167 Hannover Fon: +49 511 762-3589 Fax: +49 511 762-2780 http://www.ikg.uni-hannover.de


7.3 Internal Services

Dean of studies

Prof. Dr.-Ing. Steffen Schön c/o Institut für Erdmessung Schneiderberg 50, 30167 Hannover Tel.: +49 511 762-3362 [email protected]

Coordinator of studies

Dipl.-Ing. Tanja Grönefeld c/o Geodätisches Institut Nienburgerstr. 1, 30167 Hannover Tel.: +49 511 762-4408 [email protected]

Examination board

Prof. Dr.-Ing. Winrich Voß c/o Geodätisches Institut Nienburgerstr. 1, 30167 Hannover Tel.: + 49 511 762-2981 [email protected]

Internship and examination board office

Christine Bödeker c/o Geodätisches Institut Nienburger Str. 1, 30167 Hannover Tel.: +49 511 762-2463 [email protected]


7.4 Students council

Fachschaft Geodäsie und Geoinformatik

Geodätisches Institut (Raum B205) Nienburger Str. 1, 30167 Hannover Tel.: +49 511 762-4410 [email protected] http://www.hannover-uni.de/

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