Technik und Wirtschaft Fakultät für Informationsmanagement und

Transcrição

Hochschule Karlsruhe – Technik und Wirtschaft
Fakultät für Informationsmanagement und Medien
International Masterprogramme Geomatics
Module
Statistics, Adjustment and Reference System
Semester: 1
Credit Points: 6
Courses
Statistics and Adjustment
Level: 4
Weight: 1
Modul-Nr. GMCM101
05.01.2015
Language: English
Reference Systems and Positioning
Module Coordinator(s)
Lecturer(s)
Dr. Jäger, Dr. Saler
Assignment to
Curriculum
International Master Programme Geonmatics (M.Sc.), Compulsory module, 1. Semester.
Form of Instruction
Statistics & Adjustment and Reference Systems & Positioning
Lectures
Lectures will range from lecture in classical form to exercises and discussions
Exercises
Lab work
Independent learning
Study of literature, learning with notes and eLearning units
Entry Requirements
Recommended requirements:
matrix calculus and linear algebra, basics in statistics
Examinations: none
Literature and Media for
the Preparation of the
Courses
Literature:
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Heck, B. : Rechenverfahren und Auswertmodelle der Landesvermessung. Wichmann-Verlag.
Hofmann-Wellenhof und H. Moritz: Physical Geodesy. Springer-Verlag.
Jäger, Müller, Saler, Schwäble: Klassische und robuste Ausgleichungsverfahren. Wichmann.
Ghilani, Charles D.: Adjustment Computations. 5th Ed, Wiley, 2010
Keller, Gerald: Statistics. South Western, Mason USA
Maling, D. H.: Coordinate Systems and Map Projections, 2nd ed. Butterworth-Heinemann,
Merkel, H.: Grundzüge der Kartenprojektionslehre. Teil 1: Die theoretischen Grundlagen. Teil 2: Abbildungsverfahren. Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften.
1956, 1958.
Snyder, J. P. Map Projections--A Working Manual. U. S. Geological Survey Professional Paper 1395.
Washington, DC: U. S. Government Printing Office, 1987.
Strang G and Borre K: Linear Algebra, Geodesy, and GPS, Wellesley-Cambridge Press.
Teunissen . P.J.G.: Adjustment Theory, ISBN 90-407-1974-8,
Teunissen . P.J.G.: Testing Theory, an introduction, ISBN 90-407-1975-6.
Kaplan, E. D. and C. J. Hetgarty (2006): Understanding GPS, Principles and Applications. Artech House,
nd
2 Ed.. Boston, MA.
Torge, W. und J. Müller (2012): Geodesy. De Gruyter Lehrbuch. 4. Auflage
M. Becker und K. Hehl (2012): Geodäsie. WBG Verlag, Darmstadt.
Hofmann-Wellenhof, B., Lichtenegger, H. and E. Wasle (2008): GNSS - Global Navigation Satellite Systems: GPS, GLONASS, Galileo, and more. Springer-Verlag, Wien.
M. Bauer (2012): Vermessung und Ortung mit Satelliten - Globales Navigationssatellitensystem (GNSS)
und andere satellitengestützte Navigationssysteme. Wichmann-Verlag. 6, Auflage.
Internet / Multimedia:
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•
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http://sirs.scg.ulaval.ca/yvanbedard/enseigne/SCG66124/228_geomatica.pdf (Teunissen : Adjustment)
www.geozilla.de (Datum Transitions, RTCM 3.0, WTRANS)
www.moldpos.eu (Geodetic Infrastructures for GNSS Positioning Services)
Karlsruhe University of Applied Sciences
Faculty of Geomatics
International Master Programme Geomatics
Module-No. GMCM101
page 2/2
05.01.2015
Objective
Random Error Theory, standard normal, student, chi-square and Fisher distribution, confidence
Intervals, parameter testing, error propagation, weight of observations, linear and non linear
problems solved with Least Squares Method (LSM). For better a understanding small task will be
solved with a computer algebra system (MAPLE).
• Introduction: ITRF, ETRS89, GNSS und GNSS-services. Time-dependent changes and
maintainance of ITRS by the IERS. Classical networks and datum transformations.
• Coordinate Systems: Geocentric cartesian coordinates. Spherical coordinates, geographical
coordinates, con-focal ellipsoidal coordinates. Topocentric coordinates (LGV). Curve lined
coordinate systems on the ellipsoid.
• Inertial and terrestrial reference-systems and -frames: ECIS- and ECES-definitions in
space and time. Definition and characteristics of classical geodetic networks (geodetic datum)
based on astrogeodetic techniques and terrestrial measurements. Reference ellipsoid and
related gravity reference field. Height reference systems und height networks.
• Transitions between coordinate-sytems and -frames: Three-dimensional datum
transitions. Modeling of tectonic plate movements, datum and datum drift in the ITRF.
• Geodetic major tasks: First and second geodetic major task
• GNSS-Positioning: GPS, GLONASS, GALILEO, COMPASS. Satellite navigation message.
Observation types, Observation equations, meteorological modelling, accuracies. RTCMcorrection types und DGNSS-services. Examples and data-processing excercises.
• Map Projection: Map projection standards and types related to geographical coordinates on
the ellipsoid
Learning Target
The students should understand the application of statistical approaches on geo data. They are
able to determine confidence intervals and to test parameters regarding significance. Furthermore
they can do data snooping and testing of stochastic and mathematical model. The students have
the ability to apply the LSM onto all over-determined problems of geomatics.
The students get a profound knowledge about the different kind of classical, and the modern global
and dynamic terrestrial reference frame (ITRF/ECEF), the link to the inertial reference frame (ECIF)
and the respective system description, where GNSS-based positioning is an example related to
both systems. Further the representation of the earth’s gravity field and the gravity reference
system (GRS80) are treated, so that the students understand the realization of modern height
reference frames and the principle of GNSS-heighting. All above topics are important both for
modern GNSS and modern terrestrial geo-referencing in the ITRF, and for the transition to and in
between any other frame. The treated coordinate systems related to the ellipsoid, the mapping and
inverse mapping of geographical coordinates, and geodetic major tasks enable the students to
solve basic tasks in terrestrial and in GNSS-based positioning and georeferencing, in navigation
tasks, and again in problems related to the transition between different frames. The chapter GNSSbased positioning enables the students to classify, to apply and to specialize, in professional life
and in further lectures, the use of different receiver technologies, related signal types, GNSS
correction data, as well as different kind of GNSS-processing strategies and algortihms for an
absolute and a differential GNSS positioning in different accuracy levels (10 m to 1 mm). Exercises
with related geodetic software and GNSS-receivers complete the stuff with respect to practical
applications and further studies.
Learning Time
Duration: 1 Semester, Total: 180 h
Course
Statistics and
Adjustment
Reference Systems
and Positioning
Frequency
annual, winter term
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
3
24h
6h
60h
90h
2
24h
6h
60h
90h
Independent
Learning
Total
International Master Programme Geomatics
Module-No. GMCM101
page 2/2
05.01.2015
Requirements awarding
Credit Points
Examination: written exam 120 min.
Course
Pre-Examination
Examination
Home Work
Written Exam 60
Home Work
Written Exam 60
Module
Thematic Cartography
Semester: 1
Credit Points: 6
Courses
Level: 4
Weight: 1
Module No GMCM102
18.01.2015
Language: English
GIS-Programming
Lecturer(s)
Dr. Günther-Diringer, Dr. Freckmann, Dr. Schaab, Dr. Bürg
Assignment to
Curriculum
International Master Programme Geomatics, Compulsory, 1. Semester
Form of Instruction
Lectures will be complemented by supported individual learning and discussions.
Practical tasks to be solved with mathematical formulas and desktop mapping software.
Independent learning by preparation of simple cartograms and complex cartodiagrams.
GIS-Programming
The theoretical lecture is supported by exercises of interpretation of existing programs and
supervised exercises in the PC pools. In addition the students independently solve
programming tasks using the provided teaching materials.
Entry Requirements
Recommended Requirements:
Thematic Cartography:
Basic knowledge in cartography (map design, desktop mapping) and human geography.
GIS-Programming:
Basic knowledge from all areas of computer science
Requirements by SPO: none
Courses
Literatur:
• Dent, B.B., Cartography. Thematic Map Desgign. Boston 1999
• Kraak, M.-J., F. Ormeling, Cartography: Visualization of Geospatial Data. Harlow 2003
• Robinson, A.H., J.L. Morrison, P.C. Muerhcke, A.J. Kimerling, S. Guptill, Elements of
Cartography. New York 1995
• Slocum, T.A., Thematic Cartography and Visualization. New Jersey 2000
• Flanagan, D.: Java in a Nutshell, O’Reilly
• de Marco, T.: Structured Analysis and Systems Specification, Prentice Hall
•
www.programmersheaven.com
Objective
Basics of cartography (scale, projection, cartographic generalisation, base map, map design &
layout, lettering, symbols, patterns, colour, graphic variables), transformation of statistical data into
map symbols, the use of different map types, draft and production of different thematic maps with
different software tools.
GIS-Programming
The lecture introduces the Java programming language and hence object-oriented programming.
Contents included: Structured formulating algorithms, structure of programs, data types,
expressions, statements, loops, classes, instances and inheritance.
Module No GMCM102
Page 2/2
18.01.2015
Learning Target
Students learn the basics of cartography in order to ensure a solid background for any visualisation
of geo-spatial data in forms of thematic maps. Due to the production of different thematic maps
they get knowledge about possible cartographic methods depending on the spatial topic, which has
to be visualized. By the use of different software (Drawing- and GIS-Software) they gain practical
experience in varying applications.
GIS-Programming
The students learn the concepts of a modern object-oriented programming language. They are
able to solve simple problems and independently develop and implement these.
Learning Time
SWS
Lecture Time
Supported
Indiv. Learning
(Excersises,
Lab Work,
Project Work)
Basics in thematic
cartography
2
20
10
60
90
GIS-Programming
2
15
15
60
90
Course
Frequency
annual, winter term
Credit Points
Examination: written examination 120 min.
Course
Independent
Learning
Total
Pre-Examination
Examination
Home Work
Written Exam 60
GIS Programming
Home Work
Written Exam 60
Module-No. GMCM103
18.01.2015
Module
GIS and Databases
Semester: 1
Credit Points: 6
Courses
GIS
Level: 4
Weight: 1
Language: English
Data models and databases
Lecturer(s)
Dr. Saler, Dr. Schaab,
Assignment to
Curriculum
Geomatics Int. Master Programme, Compulsory module, 1. Semester.
Form of Instruction
GIS and Data models and databases
Lectures
Lectures will range from lecture in classical form to exercises and discussions
Exercises
In Lab with ArcGIS and MS-Access
Study of literature, learning with notes and eLearning units
Entry Requirements
Basic knowledge in GIS and data bases
Examinations: none
Courses
Literature Databases:
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BRINKHOFF, THOMAS: Geodatenbanksysteme in Theorie und Praxis. Wichmann, ISBN 3-87907-344-X
LEVENNE M., G. LOIZOU: A Guided Tour of Relational Database and Beyond, Springer
MATA-TOLEDO R., P. CUSHMAN: Fundamentals of Relational Databases, Schaum´s Outline, McGraw-Hill
RIGAUX PHILIPPE, MICHEL SCHOLL, AGNÈS VOISARD: Spatial Databases with Application to GIS. Morgan
Kaufmann, ISBN 1-55860-588-6
SILBERSCHATZ AVI, HENRY F. KORTH, S. SUDARSHAN: Database System Concepts. McGraw-Hill, ISBN 0-07352332-1.
Literature GIS:
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BERNHARDSEN, N.: Geographic Information Systems. New York 1999
BURROUGH, P. and R. MCDONNELL: Principles of Geographical Information Systems. Oxford 1998
CHRISMAN, N.: Exploring Geographic Information Systems. New York 2002.
DEMERS, M. N.: Fundamentals of Geographic Information Systems. New York 1999
HEARNSHAW, H. M. AND D. J. UNWIN: Visualization in Geographical Information Systems. New York 1994
LONGLEY, PAUL A., MICHAEL F. GOODCHILD, DAVID. J. MAGUIRE AND DAVID W. RHIND: Geographic Information
Systems and Science. New York 2005
NCGIA (Eds) (1998): WebGIS. NCGIA Core Curriculum in Geographic Information Science, unit by K.E.
Foote & A.P. Kirvan, URL: http://www.ncgia.ucsb.edu/giscc/units/u133/ u133_f.html (02/03/2007).
PENG, Z.-R. AND M.-H. TSOU: Internet GIS. Distributed geographic information services for the Internet and
wireless networks. Hoboken (NJ) 2003.
ZEILER, M.: Modeling our World. Redlands 1999
o
o
o
Objective
www.geoinformation.net
www.geocomm.com
www.gis.com
GIS
Meta data systems and data acquisition, data exchange, graphical user interfaces, GIS on the
Module-No. GMCM103
page 2/2
18.01.2015
Internet and Intranet, GIS in the field of environmental planning, the role of GIS in local
government, GIS and geomarketing, network analysis, location based services.
Optimisation of sales districts, route and tour planning, location and service network planning,
geographical market segments, traffic analysis and planning, environmental studies
Entity Relation Diagrams, multiplicity, Modeling of geo-data under consideration of national and
international standards (OGC, ISO, INSPIRE, GDI-DE), UML, spatial data base models, indexing
of geo-data, relational and objekt-relational data bases, Spatial queries with SQL. Exercises with
MS-ACCESS and PostgreSQL/PostGIS
Learning Target
GIS
The students are able to apply GIS for data acquisition, editing, and complex spatial analysis. The
focus is put on spatial overlay (vector-based) and raster analyses including DEM data. Further, an
understanding for Internet-GIS and the programming within GI-systems for application from diverse
fields is created. Thus, the students gain practical experience in the handling, analysis and
visualization of geospatial data in a GIS environment.
The students are able so set up of spatial models with confidence, understanding of basics in SQL,
handling of MS-Access and PostgreSQL/PostGIS, knowledge of standards for geo-data,
knowledge about relational and object-relational databases and their differences.
The students have the ability to setup data models either based on given representative data by
applying normalization processes or by given information about this part of the real world which
should be modeled in the data base.
Understand the difference between non spatial DB and a spatial DB.
Learning Time
Course
GIS
Data models and
databases
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
3
20h
25h
65h
110h
2
22h
8h
40h
70h
Frequency
annual, winter term
Credit Points
Examination: written exam 120 min. for both lectures
Course
Independent
Learning
Total
Pre-Examination
Examination
GIS
Home Work
Written Exam 60
Data Models and Databases
Home Work
Written Exam 60
Module
Photogrammetry and Remote Sensing
Semester: 1
Credit Points: 6
Courses
Photogrammetry
Level: 4
Weight: 1
Module-No. GMCM104
18.01.2015
Language: English
Remote Sensing
Lecturer(s)
Dr. Pfeiffer
Assignment to
Curriculum
Geomatics Int. Master Programme, Compulsory, 1.Semester
Form of Instruction
Photogrammetry and Remote Sensing
Lectures
Lectures will be complemented by supported individual learning and discussions
Exercises
Exercises in the lab using the equipment (hardware and software) required for the various tasks
Independent Learning
Study of literature, learning through lecture notes
Entry Requirements
Recommendations:
Knowledge in Digital Image Processing
Requirements based on SPO: none
Courses
Literature:
•
•
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•
K. Kraus: Photogrammetrie (engl. Edition) , Band 1, Dümmler Verlag, Bonn, 1993
K. Kraus: Photogrammetrie, Band 1, de Gruyter Verlag, Berlin, 2004, 7. Auflage
Atkinson, K. B (Editor): Close Range Photogrammetry and Machine Vision,1996
Schenk, T.: Digital Photogrammetry, 1999
K. Kraus: Photogrammetrie, Band 1, 7. Auflage, de Gruyter, Berlin New York, 2004
Internet:
Objective
Photogrammetry
Basics of photogrammetry (mathematical, physical and stereoscopic viewing); instruments
and procedures for picture taking. Fundamentals of information extraction by the means of
single image evaluation, stereoscopic procedures and aerotriangulation.
Remote Sensing
Physical basics of remote sensing; perception and interpretation of aerial images; instructions for
practical aerial image interpretation; building, geometry and radiometry of passive and active
sensor systems, comparison of sensors; examples of applications in geosciences, environmental
monitoring etc.
Module-No.
GMCM104GI1.4
page 2/2
1821.017.20153
Learning Target
Photogrammetry
After having successfully completed the course, the students are able to know of how to gather
basic geospatial information, for example, for topographic maps and GIS, and thematic information
about the earth’s surface.
Remote Sensing
After having successfully completed the course, the students know the physical basics of remote
sensing, the basics of data acquisition systems in remote sensing and the use of satellite imagery
for different applications.
Learning Time
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
Photogrammetry
2
40h
5h
45h
90h
Remote Sensing
2
20h
10h
60h
90h
Course
Frequency
annual, winter term
Credit Points
Examination: Written exam 120 min. for both lectures
Course
Independent
Learning
Total
Pre-Examination
Examination
Photogrammetry
Lab. Work
Written Exam 60
Remote Sensing
Lab. Work
Written Exam 60
Module-No. GMCM105
21.01.2015
Module
Scientific Work, Language and Rhetoric
Semester: 1
Credit Points: 6
Courses
Modules at the Institute for Foreign Languages (IfS)
German as Foreign Language (4-6 ECTS)
English 2 (Advanced Speakers) Business English or Technical English (4-6 ECTS)
Modules at the Centre of Competence (CC) out of the General Studies Programme
Communication Skills for Future Professionals (up to 2 ECTS)
International Marketing (up to 2 ECTS)
Scientific Working (up to 2 ECTS)
Lecturer(s)
Dr. Jäger, Lecturers of IfS and Career Center
Assignment to
Curriculum
Geomatics Int. Master Programme, Compulsory module, 1. Semester.
Form of Instruction
Lectures
Lectures will completed with conversation
Level: 4/5
Weight: 1
Language:
English/German
Studying of literature, learning with notes
Entry Requirements
Requirements:
English TOEFL 500 or IELTS 5.0 according to the admission requirement
Courses
Literature:
•
•
See announcements of HSKA Institute for Foreign Languages (IfS) and on Black Board
See announcements of HSKA Centre of Competence (CC) and on Black Board
http://www.hs-karlsruhe.de/internationales/ifs.html
-
Objective
http://www.hs-karlsruhe.de/meta-navigation/unternehmen/recruiting/center-of-competence.html
See announcements on WebSite, black board at Geomatics secretary and outline of IfS and CC
lecturers
Geomatics Int. Master Programme
Module-No. GMCM105
page 2/2
21.01.2015
Learning Target
German: Deutsch als Fremdsprache / German as Foreign Language
The goal of this course is to develop students’ language skills. Grammar and vocabulary are
taught using the course book Stufen International I. The course emphasis is on speaking and
understanding, although there will also be practice in reading and writing skills.
Prerequisite for participation is either completion of the preceding course or advanced placement in
the placement test.
English: Englisch für Fortgeschrittene 2 / Business English or Technical English
The goal of these courses is to develop students’ general language skills (supplementary
grammatical structures and vocabulary building) and to introduce topics from applied business
language. All language skills (listening, reading, speaking and writing) are practised systematically,
with an emphasis on professionally-oriented communicative ability.
Modules from General Studies: Modules of the Centre of Competence (CC)
Depending on the selection the students will be enabled on communication skills for future professionals, or prepared with methods on international marketing, or with advanced capacities on
scientific work.
Learning Time
Course
Languages Modules
and Modules from
General Studies
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
8
120
-
Frequency
Winter term
Credit Points
Examination:
See notice of IfS and Career Centre
Pre-Examination: See notice of IfS and Caree Centre
Independent
Learning
Total
60
180
Modul-No. GMCM2.E1
page 1 / 2
International Masterprogramme Geomatics (M.Sc.)
20.02.2015
Module
Location Based Services (LBS)
Semester: 1 resp. 2
Credit Points: 6
Courses
Construction of Spatial Models and Topology
Level: 4/5
Weight: 1
Language: english
Visualisation and Application of Location Based Services
Lecturer(s)
Dr. Freckmann
Assignment to
Curriculum
International Masterprogramme Geomatics, elective
Form of Instruction
Lectures will be completed by discussions.
Lectures will be completed by discussions. Project work
Entry Requirements
Recommendations:
Fundamental knowledge in Geographic Information Systems theory and methods in visualisation,
navigation and web mapping, programming
Requirements based on SPO:
none
Courses
Literatur:
•
•
•
•
•
DING, Y. and R. MALAKA: An agent-based architecture for resource-aware mobile computing. In: HEUER,
A. and T. KIRSTE (Eds.): Intelligent Interactive Assistance and Mobile Multimedia Computing.
Proceedings of the International Workshop IMC2000. Rostock 2000. P. 60 – 66
Gartner, G.: TeleKartographie. Geo-Informationssysteme, 2000, P. 21-25
st
Reichenbacher, T.: Adaptive methods for mobile cartography. Proceedings of the 21 International
Conference, Durban 2003
ZIPF, A. and R. MALAKA: Developing “location based services” (LBS) for tourism – the service provider’s
view. In: SHELDON, P., K. WÖBER and D. FESENMAIER (Eds.): Information and Communication
th
Technologies in Tourism 2001. Proceedings of ENTER 2001, 8 International Conference. Montreal.
Springer Computer Science. Wien, New York 2001. P. 83 – 92
Zipf, A. u. K. Richter:Using Focus Maps to Ease Map Reading. Developing Smart Applications for Mobile
Devices. Künstliche Intelligenz, 4, 35-37
http://www.esri.de/products/arcgis/about/mobile.html
Objective
Data sources, Connection between topology and geometry, Methods to build up topology with
digital data sets, 2D and 3D modelling, mobile devices, database server, data flows and
interactivity, location service, wireless application protocol
Visualisation of geospatial data and visualisation of service functions on mobile devices, examples
(In-car-navigation, Tourist Information Systems). Selected applications and development of a
location based service (database, user interface, presentation).
Learning Target
Modul-No. GMCM2.E1
page 2 / 2
20.02.2015
The students should get knowledge about the available data sources for location based services,
the requirements on the data and the general methods to prepare data for lbs applications, the
hard- and software requirements and user interfaces. They are competend in evaluating geo data
referring to their usability for location based services.
The students should get an overview about the visualisation of spatial data with cartographic
methods, which are necessary to introduce location based services for a wide range of applications
and to get a high acceptance from the users. On the basis of application examples the students
develop a location based service for a special subject in the field of in-car-navigation or tourist
information for a given mobile device. They have to plan and to run a location based servicesproject in a team. Students increase their competence in the field of location based services and
they improve their ability to work in a project group.
Learning Time
SWS
Lecture Time
Supported Indiv.
Learning
Independent
Learning
Construction of
Spatial Models and
Topology
2
25 h
5h
30 h
60 h
Visualisation and
Application of
Location Based
Services
2
20 h
10 h
90 h
120 h
Course
Frequency
Requirements Awarding
Credit Points
annual, summer term
Course
Construction of
Spatial Models and
Topology
Visualisation and
Application of
Location Based
Services
Pre-Examination
Examination
Project work
Written Exam 120
Project work
Total
Fakultät für Information Management und Medien
Module-No GMCM2.E2
page 1/3
18.01.2015
Module
Satellite Geodesy and Geodetic Monitoring
Semester: 1 resp. 2
Credit Points: 6
Courses
Satellite Geodesy
Level: 4/5
Weight: 1
Language: English
Geodetic Monitoring
Lecturer(s)
Dr. Jäger
Assignment to
Curriculum
International Masterprogramme Geomatics, elective, 2. Semester.
Form of Instruction
Satellite Geodesy and Geodetic Monitoring
Lectures
The lectures are given both by the classical methods and media (blackboard writing, overhead
transparencies) as well as by PPT- and software-presentations.
Exercises
The exercises comprise computation with different GNSS- and monitoring systems and respective
processing software
Independent Learning
Study of literature. Overwork of the lectures and exercises by literature, additional learning materials, and studies using the software (Bernese GNSS software, GOCA, MONIKA) in the laboratory
for GNSS and Navigation.
Excursion
Geodetic Monitoring is supplemented by 1-2 days excursion to an installation of the geodetic monitoring system GOCA developed at HSKA.
Entry Requirements
Basic knowledge on bachelor level in satellite geodesy, adjustment and statistics or visit of the module statistics, adjustment and reference systems (GI FP01).
Exam: none
Courses
Literature:
•
International Conference on Landslides – Causes, Impacts and Countermeasures”
(Kühne, Einstein, Krauter, Klapperich, Pöttler (Eds.)) ISBN 3-7739-5969-9. Davos, 2002
•
Werner Lienhart (2007): Analysis of Inhomogeneous Structural Monitoring Data.
Engineering Geodesy, TU Graz. Shaker-Verlag.
•
Marschallinger und Wanker (Hrsg.): Geomonitoring, FE-Modellierung, Sturzprozesse und
Massenbewegungen: Beiträge zur COG-Fachtagung. Salzburg 2008. Wichmann-Verlag.
•
Jäger, R., Kälber, S. , Oswald, M. und M. Bertges (2006): GNSS/GPS/LPS based Online
Control and Alarm System (GOCA)- Mathematical Models and Technical Realisation of a
System for Natural and Geotechnical Deformation Monitoring and Analysis. Proceedings
of the IAG and FIG-Symposium on Deformation Measurements, May 2006. Baden, Österreich. Springer.
•
Kaula, W.: Theory of Satellite Geodesy. Basedell, Waltham. BA.
•
Jäger, R., Müller, T., Saler, H. und R. Schwäble (2005): Klassische und Robuste Ausgleichungsverfahren. Wichmann-Verlag.
•
Mai, E., Schneider, M. und C. Cui (2008): Zur Entwicklung von Bahntheorien – Methodik
und Anwendung. Deutsche Geodätische Kommission, Reihe A, Nr. 122. München.
•
Hofmann-Wellenhof, Lichtenegger, Wasle (2008): GNSS – Global Navigation Satellite
Systems. Springer-Verlag.
•
Dach, R., Hugentobler, U., Friedez, P. and M. Meindl (2006): Bernese GPS Software,
Version 5.0. Astronomical Institute, University of Bern. Bern, Schweiz.
Module-No GMCM2.E2
page 2/3
18.01.2015
Journals:
Inside GNSS, www.insidegnss.com
GPS Solutions, Springer.
Journal of Geodesy, Springer.
•
•
•
•
•
•
•
Objective
www.goca.info
http://www.ngs.noaa.gov/
www.gfz-potsdam.de
www.aiub.unibe.ch
http://igscb.jpl.nasa.gov/
http://ivscc.gsfc.nasa.gov/
http://www.goca.info/Labor.GNSS.und.Navigation/Labor_fuer_GNSS_und_Navigation.htm
Satellite Geodesy
•
Revision on GNSS-status and GNSS positioning techniques
•
GNSS positioning; transition between ECIF ECEF; satellite orbit representation; ionosphere; troposphere; IGS and IGS-products; methods of ambiguity resolution and developments; Doppler-measurements; cycle-slip detection; phase smoothing of codemeasurements; RTCM/RTCA-corrections, representations and algorithms; earth-tides
consideration; algorithms for GNSS/DGNSS-positioning; GNSS-based determination of
plan and height positions; plate tectonic modelling; RTCM transformation messages.
•
Satellite based gravity field determination; gravity field and orbit pertubations; Lagrange’sche perturbation calculation; orbit perturbation and disturbance potential; theory of
Kaula; observation equations for gravity field determination; satellite-to-satellite-tracking;
gradiometry ; gravity missions; present results of gravity missions.
•
Further satellite geodetic methods and observation equations: very long baseline interferometry (VLBI); satellite altimetry.
•
Present developments in GNSS positioning, gravity field determination and related topics.
•
Excercises: RTK measurements and transformation using SAPOS; GNSS-data processing using different software and algorithms (Bernese GNSS; GPSLab, etc.)
Geodetic Monitoring
•
Introduction: standards and profile of geodetic monitoring systems; scaleability; applications in geomatics, geodynamics, geotechnics, geology, civil engineering); early warning
systems; overview of systems.
•
Deformation-analysis models and network adjustment concepts. Observation and coordinate-related deformation analysis. Special problems related to free deformation networks.
Global geodynamics modelling (datum, datumdrift, plate tectonic). Classification of deformation models and network types (absolute, relative deformation network). Transition
from geometric deformation analysis to system-analysis. M-estimation.
•
Components of geodetic monitoring systems (hardware- and communication-design;
sensor-design; Model- and software-architecture; scaleability aspect).
•
Mathematical models of the multi-sensor system GOCA. Absolute deformation network.
Observation related 3-steps approach (initialisation of reference frame; geo-referencing of
object-points, modelling of object-point movements). L2/L1-Kalmanfiltering and prediction.
Online displacement estimation. Statistical control of the reference frame. Alarming setting
concepts. System analysis. Applications.
•
Mathematical models of the coordinate-related approach and software MONIKA.
Computation steps. Relative and absolute deformation model, Coordinate-related
modelling; geodynamical modelling and reductions. Transformations. Multi-epochal and
multivariate congruency testing; Complex deformation models. Applications.
•
Exercises: Practical exercises with the GOCA-System and –software in the laboratory for
GNSS and navigation at HSKA. Exercises with the MONIKA software. Visit at MONIKA
user Landesamt für Geobasisinformation und Landmanagement, Karlsruhe.
Module No GMCM2.E2
page 3/3
18.01.2015
Learning Target
Satellite Geodesy
After a short revision of the basics of satellite geodesy the student gets a deep insight and essential extension concerning the mathematical and physical foundations, algorithms and concepts
in the essential fields of satellite geodesy. As concerns GNSS-based positioning (geometrical satellite geodesy), the topics of reference frames, GNSS data-acquisition, algorithms and datprocessing, software and RTCM-corrections are treated with respect to the state of the art and
upcoming redesign of GNSS-positioning infrastructure and algorithms due to the modernisation of
existing GNSS (third frequency, increase of signal strength, SSR) and the new systems GALILEO
and COMPASS). Another focus is set on the foundation and methods of satellite-based gravity field
determination (dynamical satellite geodesy). Further VLBI, satellite altimetrie and respective dataprocessing models are treated.
The student will be able to work in the full spectrum of satellite geodesy as consulting expert, in
industrial and technological developments, redesign of GNSS infrastructure, algorithms and
systems, as well as in research institutions.
Geodetic Monitoring
The students learn about the present profile, the hard- , software- and communications-design and
intensively the mathematical models of scaleable multi-sensor geodetic monitoring systems. The
application domains are geodynamics, geology and geotechnics, monitoring of constructions and
buildings, distaster prevention and early warning. The full spectrum of mathematical models for
different estimation concepts in deformation networks, observation and coordinate related adjustment approaches, as well as quality control and statistically based concepts for forecasting and
alert setting in realtime (e.g. displacement estimation, Kalmanfilter) are treated. The lectures are
accomplished by exercises with the systems GOCA and MONIKA in real-data environment.
The student will be able to work in the full spectrum of satellite geodesy as consulting expert, in industrial and technological developments, in system and software architecture and development in
industry, as well as in research institutions.
Learning Time
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
Satellite Geodesy
2
24 h
18 h
48 h
90 h
Geodetic Monitoring
2
24 h
18 h
48 h
90 h
Course
Frequency
Credit Points
Independent
Learning
Total
annual, summer term
Course
Pre-Examination
Examination
Satellite Geodesy
-/-
Written Exam 90
Geodetic Monitoring
-/-
Written Exam 90
Satellite Geodesy and Geomatics
Monitoring
-/-
Homework and
Presentation
Modul-No. GMCM2.E3
Page 1 von 2
20.02.2015
Module
Visualisation of Spatial Information on the Internet
Semester: 3
Credit Points: 6
Courses
Script Languages
Level: 4/5
Weight: 1
Language: english
Advanced Visualisation
Lecturer(s)
Dr. Freckmann
Assignment to
Curriculum
International Master Programme Geomatics, elective
Form of Instruction
Script Languages
Lectures will be completed by discussions. Exercises and project work in the lab.
Lectures will be completed by discussions. Exercises and project work in the lab.
Entry Requirements
Recommendations:
Knowledge in Geographic Information Systems theory and methods in visualisation, navigation and
web mapping,
none
Courses
Literature:
•
MACEACHREN, Allen. M., How Maps Work. Representation, Visualisation and Design.
New York 1995
•
KRAAK, Menno-Jan, Brown, A., Web Cartography, London 2001
•
LONGLEY, Paul A., Michael F. GOODCHILD, David. J. MAGUIRE and David W. RHIND:
Geographic Information Systems and Science. Chichester 2001
•
Erik Wilde; World Wide Web; Springer; Berlin; 1999
•
Stephan Lamprecht; Programmieren für das WWW; Hanser; München; 1999
•
Elliotte Rusty Harlod, W. Scott Means; XML in a Nutshell; O'Reilly; Beijing; 2001
•
Asche/Herrmann (hrsg.),Web.Mapping 1 und 2, Wichmann, 2003
•
Well Done, Bitte!, Das komplette Menü der Printproduktion, Johansson/Schmidt, 2004
•
Typo und Layout im Web, Ulli Neutzling, RORORO 2002
•
Designing for small screens, Mobile phones, PDAs, AVA Book, 2005
Internet / Multimedia
•
http://kartoweb.itc.nl/webcartography/
•
http://www.nationalatlas.com
•
http://www.atlas.gc.ca
•
http://www.w3c.org
•
http://www.webreference.com/programming/javascript/
•
http://www.htmlgoodies.com/
Objective
Script Languages
Static and dynamic web pages, script languages versus traditional programming languages, the
different roles of client based and server based script languages, syntax of one script language
(e.g. html, java script, perl, php), database binding, aims and capabilities of XML, CSS and XSL.
web design, concept and visualisation of cpmplex content for web maps, the use of colour in web
maps, type fonts. Legibility, human-computer interaction. Development of interactive maps for the
Internet.
Learning Target
Modul-No. GMCM2.E3
Page 2 von 2
20.02.2015
Script Languages
Students will learn to recognize the advantages and capabilities of script languages for designing
dynamic web pages. They will also learn how to develop dynamic web pages and to bind database
information onto (graphical) web pages using script languages. Students get the competence to
use script languages as a software development tool in a efficient way.
Advanced visualisation
Students will learn how to design complex content within the limitations typical for web maps. In
addition they have the ability to create their own web sites with high quality maps. While doing this
they integrate their knowledge of Thematic Cartography, programming languages and Software
Engineering.
Learning Time
Frequency
Credit Points
Course
SWS
Lecture Time
Supported Indiv.
Learning
Independent
Learning
Total
Script Languages
2
10 h
20 h
60 h
90 h
Advanced
visualisation
2
10 h
20 h
60 h
90 h
annual, winter term
Course
Script Languages
Pre-Examination
Examination
Project work
Written exam 120
Advanced
visualisation
Project work
Faculty of Information Management and Media
Module-No. GMCM3.E4
page 1/3
12.01.2015
Module
Mathematical Geodesy and Adjustment
Semester: 3
Credit Points: 6
Courses
Mathematical Geodesy
Level: 5
Weight: 1
Language: English
Adjustment
Lecturer(s)
Dr. Jäger, Dr. Saler
Assignment to
Curriculum
Interanational Masterprogramme Geomatics, elective module, 3
Form of Instruction
Lectures
rd
semester
Adjustment
Lectures
Entry Requirements
Basics of the map projection. Parametric representation of surfaces and curves in space,
differential equations and integration procedures, knowledge in statistics and hypothesis testing,
law of error propagation, matrix calculus and linear algebra, principles of the of the least squares
method and Gauss-Markov model.
Examinations:
-/-
Courses
Literature
•
•
•
•
•
•
•
•
•
•
•
Heck, B. : Rechenverfahren und Auswertmodelle der Landesvermessung. Wichmann-Verlag.
Hofmann-Wellenhof und H. Moritz: Physical Geodesy. Springer-Verlag.
Jäger, Müller, Saler, Schwäble: Klassische und robuste Ausgleichungsverfahren. Wichmann.
Maling, D. H.: Coordinate Systems and Map Projections, 2nd ed. Butterworth-Heinemann,
Merkel, H.: Grundzüge der Kartenprojektionslehre. Teil 1: Die theoretischen Grundlagen. Teil 2: Abbildungsverfahren. Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften.
1956, 1958.
Snyder, J. P. Map Projections--A Working Manual. U. S. Geological Survey Professional Paper 1395.
Washington, DC: U. S. Government Printing Office, 1987.
Strang G and Borre K: Linear Algebra, Geodesy, and GPS, Wellesley-Cambridge Press.
Teunissen . P.J.G.: Adjustment Theory, ISBN 90-407-1974-8,
Teunissen . P.J.G.: Testing Theory, an introduction, ISBN 90-407-1975-6.
rd
Torge, W. : Geodesy. 3 Edition. De Gruyter, Berlin. 2001.
Wolf, Paul R.; Ghilani, Charles D.: Adjustment Computations. 3rd Ed, Wiley, ISBN: 0-471-16833-5
•
•
•
Objectives
www.dfhbf.de
http://igscb.jpl.nasa.gov/
www.geozilla.de
• Interpolation and Prediction (Kernel-based Methods, Kriging, Kollokation)
• Selected Problems in Datum Transition and Plate-Movements (Similarity Transfomation as Axes
Rotation in Space, Euler-Plate Model, Molodenski-Approach and Continuity-Modelling)
• Selected Problems in the Modelling of Height Reference Surfaces (DFHBF-Approach, Continuity
Modelling in FEM, Carrier functions and DFHBF-Approach for Physical Observations)
• Advanced Map Projection Theory (General Distortions in Map Projections, Conformal MapProjection based on Cauchy-Riemann’s Differential Equation Theory)
• Numerical Integration in Problems of Mathematical Geodesy (Classical Coupled Differential
Module-No. GMCM3.E4
page 2/3
12.01.2015
st
Equations for the Representation of the Geodesic, Solution of the 1 Geodetic Major Task via
Taylor-Series Expansion (Legendre) in the Argument of the Distance, Decoupling of the
Differential Equations and Solution Method of Schmidt related to the Argument of the reduced
latitude, Methods of Numerical Integration, Solution of Schmidts Decoupled Differential
st
Equations, 1 Geodetic Major Task by Numerical Integration)
Adjustment
•
Sequential Adjustment Procedures (Neumann Series, Frobenius/Schur/Woodbury,
Sherman and Morrison, Frobenius and Schur, Examples)
•
Integrated and Quasi-Integrated Geodesy (Gravity Field and Reference Gravity Field,
Observation Equations of Integrated Geodesy, LPS/TPS-Observations, Treatment of Fix
Points, Gravity Observations, Quasi-Integrated Network Adjustment and Treatment of the
Gravity Field, Fix Points and Levelling)
•
Gauß-Markov Model and Generalized M-Estimation (Functional Adjustment Models and
Transition to Gauß-Markov Model, Homogenisation, Maximum-Likelihood-Estimation, Robustness Characterisations and Estimation Procedures, Kalmanfiltering and Robust
Kalman-Filtering, Exmples)
•
Adjustment of Free Networks (Singularity, Defect of Normal-Equations and Solution by
Reflexive Generalized Inverse, Relation between Different Solutions and S-Transformation, S-Transformation Setup and Relation to Helmert-Transformation, “Inner
Solution” and Datum Components of Geodetic Networks)
•
Systematic Errors and Influence Measures on the Parameters (Statistical Treatment and
Network Distortion as Influence, Measure of Systematic Errors, Contributions of observations to different groups of parameters.
•
Errors in the Stochastical Model, Cauchy-Schwartz-Inequality, Distortion of Variances and
Relation to Stochastic Network Distortion, Generalization of the Stochastic Network
Distortion and Representation as a Generalized Eigenvalue Problem, Spectral Analysis
and Hidden and Natural Weak-Shapes of Geodetic Networks.
Module-No. GMCM3.E4
page 3/3
12.01.2015
Learning Target
In the chapter interpolation and prediction the students learn about Kernel-based methods, Kriging,
collocation and the unification. The selected problems in datum transition and plate movements the
classical similarity transformation is leaded back to the rotation problem round on space axes, and
from this the Euler-Plate Model. Further the Molodenski approach of a 3D similarity transformation
is treated, as well as the formulation of continuity equations here. The height reference surfaces
chapter is dealing with the DFHBF-approach, continuity modelling and the extension of the approach to physical observations The chapter on advanced map projection is dealing the general derivation of distortions and the of conformal map-projection concept based on Cauchy-Riemann’s
differential equation theory. The chapter of numerical integration treats the different approaches
and their application to mathematical geodesy. Following the decoupling of the differential equations of Legendre by a variable transformation, the numerical integration is applied to the solution
st
of the 1 geodetic major task.
Adjustment
The chap. on sequential adjustment procedures is dealing with different procedures for the treatment of modification of the Gauß-Markov Model concerning the functional and stochastical model.
The chap. on integrated and quasi integrated geodesy is dealing with the modelling of different kind
of sensor observations in the 3D geometry and the gravity space. The chap. on generalized MEstimation is based on the maximum likelihood estimation theory, and sets a main focus on robust
estimation for linear and non-linear model, and special cases like robust Kalmanfiltering and L1norm. The numerical solution procedures for generalized M-estimation are also treated. The adjustment of free networks is based of the theory of generalized inverses for singular normal equations,
followed by the derivation of the S-transformation and the relation to the Helmert-transformation
and the so-called “inner solution” of free networks. The next chap. defines measures to quantify
and to describe in the coordinate space the distortions of parameters and geodetic networks due to
deterministic and stochastic errors, which leads to special and generalized eigenvalue problems
Further theory of the contribution of single observations to different groups of parameters is
treated.
Learning Time
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
2
24 h
18 h
48h
90h
Adjustment
2
24 h
6h
60h
90h
Course
Frequency
annual, winter term
Credit Points
Examination: written exams 90 min. each lecture
Independent
Learning
Total
Modul-No. GMCM201
Page 1 von 3
20.02.2015
Module
Specific Basics
Semester: 1 resp. 2
Credit Points: 6
Courses
Human Geography
Level: 4/5
Weight: 1
Language: english
Navigation
Facility Management (FM)
Lecturer(s)
Dr. Freckmann, Dr. Jäger, Dr. Saler
Assignment to
Curriculum
International Masterprogramme Geomatics,, 2 of 3 lectures have to be selected.
Form of Instruction
Human Geography
Lecture is supplemented by short presentations and discussions on basis of lecture notes.
Navigation
The lecture is based on lecture notes for the complete stuff concerning the physical properties of
the different kind of navigation sensors, the respective signal structures and the mathematical
models for the processing of the sensor data resulting in the determination of the navigation
parameters. Supplements and further mathematical models are treated by classical blackboard
writing. In addition exercises are held concerning the GNSS-, INS- and GNSS/INS-based navigation with respective hard- and software in the laboratory for GNSS and Navigation of the faculty.
Facility Management (FM)
After few meetings in lecture form in those to be mediated the necessary bases of FM extensive
work on the project begins in which a CAFM system is developed and realized.
Entry Requirements
R Recommended requirements:
Geography of Economics: Descriptive Statistics
Navigation: none
Facility Management: Databases, CAD, GIS
Module GI1.1 (for students of Int. Master programme Geomatics only)
Courses
Literature:
•
•
Daniels, P. et. al.: An Introduction to Human Geography - Issues for the 21st Century, Harlow 2005
Gebhardt, H., R. Glaser, U. Radtke u. P. Reuber: Geographie, Heidelberg 2007
•
B. Hofmann-Wellenhof, K. Legat and M. Wieser (2003): Navigation – Principles of Positioning and Guidance. Springer-Verlag. Wien, New York. ISBN 3-211-00828-4.
C. Jekeli (2001): Inertial Navigation Systems with Geodetic Applications. Walter de Gruyter, Berlin- New
York 2001.ISBN 3-11-105903-1
•
•
•
•
•
Braun, H.-P. (2007): Facility Management. Springer Verlag Springer Verlag, Berlin.
Cotts, D. G., Roper, K. O., Payant, R. P. (2009): The Facility Management Handbook, Amacom Books.
Alexander, K. (2002): Facilities Management: Theory and Practice. Taylor & Francis.
Nävy, J. (2006): Facility Management. Springer Verlag, Berlin.
Journals:
•
•
Facility Manager. Forum Zeitschriften und Spezialmedien GmbH (Hg.). Merching
Facility Management. Bauverlag BV (Hg.). Gütersloh.
Modul-No. GMCM201
Page 2 von 3
International Master Geomatics (M.Sc.)
20.02.2015
Objective
•
•
Akademie für Raumordnung und Landesplanung – www.arl-net.de
Bundesamt für Bauwesen und Raumordnung – www.bbr.bund.de
•
•
http://www.celestial.navigation.net
www.navka.de
•
www.mycafm.de
Human Geography
Selected sections of Human Geography. The relationship between these sections will be taught on
the basis of regional examples and of the changing global context.
Navigation
Following the mathematical and physical principles, reference systems and navigation principles
the lectures are dealing with in separate sections with the methods, the sensors, the mathematical
models and algorithms for further processing of the sensor data and the technical realization of
different navigation methods and systems. Hereafter loose, tight and eep copuling are treated with
respect to GNSS, MEMS-based INS, optical and other sensors. The algorithmic methods of sensor
fusion are related to a seamless infrastructure-based, as well as an infrastructure-autonomous
outdoor and indoor navigation. The different topics are:
• Navigation frames and principles: ECI, ECEF, LAV, LGV, platform, body system; transitions; principles of positioning, speed and course representation; orientation parametrization.
• Astro-Navigation: Astronomical foundations, observation equations, star tracker systems.
• GNSS-Navigation. Satellite orbit representations; observations and methods in GNSS-navigation;
modelling of Doppler measurements. Algorithms for code- and phase-measurements. OSR and
SSR correction data.
• Inertial navigation, optical, magnetic and baromatric sensor systems: Physical principles of gyro
and acceleration sensors and INS platform types; observation equations for INS navigation sensors in the i, a, e, n-system; magnetometers and barometers and sensor observation equations,
further supporting sensors, MEMS technologies.
• Hybrid Navigation Systems: GNSS / MEMS sensor observation equations in a general multi-sensor multi-platform concept (MSMP); general conditions and special cases of the navigation state
estimation, process discretisation and numerical integration, observation equations in a MSMP
concept; processing of additional information to modify and redescribe the statevector in
estimation.
Facility Management
Definition and goals of FM, data models for CAFM, data acquisition and CAFM data visualization,
realization of a CFAM project with individual data modelling, and querying in a CAFM.
Standards for FM and BIM.
Learning Target
Modul-No. GMCM201
Page 3 von 3
International Master Geomatics (M.Sc.)
20.02.2015
Human Geography
The aim of the course is to give students fundamental knowledge in selected sections of Human
Geography and nearby disciplines. Students should be able to understand and to evaluate
temporal spatial processes which are responsible for changes on the global, regional and local
level. They should learn that geographical knowledge is not - and should not attempt to be - static
and detached from what is going on in the world, but is rather dynamic and profoundly influenced
by events, struggels and politics beyond university life.
Navigation
The students shall get an overview about navigation principles, navigation models and the most important navigations systems (GNSS, INS, celestial, and others). Because of the trend of miniaturisation of navigation sensors (MEMS-sensors) in applications and in development the students
learn about the mathematical models of sensor integration, in order to be able to carry on navigation developments in industry and in research.
Facility Management
The students understand the basics of the Facility Management and Computer Aided Facility
Management. They know the appropriate data models, the data acquisition methods and
presentation forms. The students are able to develop data models for. They can convert these
models in a CAFM system, generate relevant queries and visualize the results according to
demanded standards.
Learning Time
Frequency
Credit Points
Duration: 1 Semester, Total: 180 h (2 of 3 lectures have to be selected)
Course
SWS
Lecture Time
Supported Indiv.
Learning
Independent
Learning
Total
Human Geography
2
20 h
10 h
60 h
90 h
Navigation
2
24 h
10 h
56 h
90 h
Facility Management
2
8h
22 h
60 h
90 h
annual, summer term
Course
Pre-Examination
Examination
Geography of Economics
.
Written Exam 90
Navigation
-
Written Exam 90
Facility Management
-
Oral Exam 30
Module-No. GMCM202
page 1/2
12.01.2015
Module
GIS-Project and - Management
Semester: 1 resp. 2
Credit Points: 6
Courses
GIS-Project and -Management
Lecturer(s)
Dr. Saler
Assignment to
Curriculum
Geomatik Master Programme, compulsory module, 1. Semester.
Geomatics Int. Master Programme, compulsory module, 2. Semester.
Form of Instruction
Level: 4/5
Weight: 1
Language: English
Lecture is supplemented by discussions on basis of lecture notes.
With the project works complex GIS tasks will be carried out by groups of 4-6 students.
Intermediate results are explicated in form of reports and demonstrated by oral presentations.
Entry Requirements
Recommended Requirements:
Advanced knowledge in the field of Geo Information Systems
Examinations:
Courses
Literature:
- Project management
• Ehrl-Gruber, B. u. G. Süß (Hrsg.): Praxishandbuch Projektmanagement - Ergebnisorientierte
und termingerechte Projektabwicklung in der Industrie; Augsburg: WEKA Fachverlag, 2002
• Hansel, J. u. G. Lomnitz: Projektleiter-Praxis.- Berlin, Heidelberg: Springer, 2003
• Lock, D.: Projektmanagement.- Wien: Ueberreuter, 1998
• Schiffmann, R., Y. Heinrich, G. Heinrich: Multimedia-Projektmanagement.- Berlin, Heidelberg:
Springer, 2001
• Wittmann, R.: Professionelle Planung und Durchführung von Internetprojekten.- Kilchberg:
Smartbooks Publishing, 2001
- GIS: depending on the task
Articles: depending on the task
Internet / Multimedia: depending on the task
Objective
Becoming acquainted with basics of project management. Engaging with and solving complex
space-orientated problems by means of GIS technology.
Module-No. GI2.2
page 2/2
12.01.2015
Learning Target
Students will achieve basic knowledge about project management, which will be transferred by
elaboration of a GIS project. Students can work coordinately in project groups. They are able to
analyze a complex problem and to document results, oral presentation inclusive. Students broaden
their knowledge about GIS programming and Web Services and their capabilities to solve spaceorientated questions using GIS technology.
Learning Time
Course
Projektmangament
und GIS
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
4
10 h
40 h
Independent
Learning
Total
130 h
180 h
Frequency
annual, summer term
Credit Points
Examination: GIS Project work documentation and presentation of the final results, Oral exam
Pre-Examination: GIS-Project Lab work
Fakultät für Informationsmanagement und Media
Module-No. GMCM203
Page 1/2
18.01.2014
Module
Soft skills
Semester: 1 resp. 2
Credit Points: 6
Courses
General Studies (Studium Generale) (one lecture with relevance to soft skills)
Level: 4/5
Weight: 1
Language:
German/English
Foreign Language (Fremdsprache) (DaF 5 – for non German speaking students / Business
English or Technical English)
Lecturer(s)
Dr. Jäger, Dozenten des IfS
Assignment to
Curriculum
Int. Master program Geomatics, Compulsory module, 2
Form of Instruction
Lectures
Lectures will completed with conversation
nd
semester
Studying of literature, learning with notes
Entry Requirements
Studium Generale
Examaminations: Fremdsprache
Examinations:
DaF 3+4 / Advanced English 2
Deutsch als Fremdsprache - schedule:
DaF 3/4: previous semester [Niveau A2]
DaF 5: this semester
DaF 6: intensive course in Sept,
recommended [Niveau B1]
Englisch - schedule:
EfF2:
required
TE/BE: language course at IfS (previous
semester)
BE/TE: language course [C1 CEF]
Proficiency Test
Students’ level of proficiency will tested by means of a placement test (Einstufungstest) organised
by the Institut für Fremdsprachen (IfS) during the first week of the semester or completion of the
preceding course.
Literature and
Multimedia for the
Preparation of the
Courses
Literature:
•
•
See announcements of HSKA Institute for Foreign Languages (IfS) and on Black Board
See announcements of HSKA Centre of Competence (CC) and on Black Board
http://www.hs-karlsruhe.de/internationales/ifs.html
-
http://www.hs-karlsruhe.de/meta-navigation/unternehmen/recruiting/center-of-competence.html
Fakultät für Informationsmanagement und Media
Module-No. GMCM203
Page 2/2
18.01.2015
Objective
General Studies (Studium Generale)
The students acquire and deepen study-spreading key skills from the ranges economics and
globalization, innovation in technology and economics, ethics in technology, economics and
society, personnel management, right in economics and technology, business management, self
management and communication as well as English and internationally Business
Foreign Language (Fremdsprache)
English/German
The students should receive advanced knowledge in English and German language.
Learning Target
Studium Generale / Extracurricular studies
The obtained competence qualify students for appropriate, considered, as well as individually and
socially accountable conduct in professional, social and private situations. The courses aim in
developing strong professional, social, personality and self-competence as well as methods skills
and interdisciplinary knowledge.
Foreign language
German (A2/B1 CEF ):
Students achieve the proficiency level of A2/B1 of the des “Common European Framework of
Languages - CEF”.Can understand the main points of clear standard input on familiar matters
regularly encountered in work, school, leisure, etc. Can deal with most situations likely to arise
whilst travelling in an area where the language is spoken. Can produce simple connected text on
topics which are familiar or of personal interest. Can describe experiences and events, dreams,
hopes & ambitions and briefly give reasons and explanations for opinions and plans.
English (C1 CEF ):
In these professionally oriented seminars students have the opportunity to improve their fluency,
listening comprehension, writing and communication skills for business and social interaction. The
curriculum includes telephone conversations, correspondence, reports, import / export, finance,
marketing, conferences, presentations, business calls, service, etc. Can understand a wide range
of demanding, longer texts, and recognise implicit meaning. Can express him/herself fluently and
spontaneously without much obvious searching for expressions. Can use language flexibly and
effectively for social, academic and professional purposes. Can produce clear, well-structured,
detailed text on complex subjects, showing controlled use of organisational patterns, connectors
and cohesive devices.
Learning Time
Course
SWS
Lecture Time
DaF or English
Studium Generale
4
2
60
30
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
-
Independent
Learning
Total
60
30
120
60
Frequency
Each semester
Credit Points
Examination:
See notice of IfS resp. Institut für Management und Kommunikation
Pre-Examination: See notice of IfS resp. Institut für Management und Kommunikation
International Masterp Programme Geomatics
Module-No. GMCM2.E1
Page 1/2
18.015.20154
Module
Satellite Image Analysis
Semester: 2 or 3
Credit Points: 6
Courses
Satellite Image Analysis
Level: 4/5
Weight: 1
Language: English
Practical Satellite Image Analysis
Lecturer(s)
Dr. Schaab, Dr. Pfeiffer
Assignment to
Curriculum
International Master Geomatics, elective module, 3rd Semester
Form of Instruction
Lectures
Lectures and laboratory exercises and discussions
Project work
5 attended units for preparation, evaluation and analysis of multispectral- and radar-satellite image
data using Erdas Imagine software
Entry Requirements
Recommendations:
Basic knowledge in Digital Image Processing; in existing acquisition sensor systems (multispectral
and RADAR) as well as in the geometry and physics background influencing data acquisition;
practical experience in DIP (including multi-band imagery and georeferencing) and in visual
interpretation of aerial photography
Courses
Literature:
• Albertz, J., Einführung in die Fernerkundung. Grundlagen der Interpretation von Luft- und
Satellitenbildern: Eine Einführung in die Fernerkundung. Darmstadt 2007.
• Hildebrandt, G., Fernerkundung und Luftbildmessung. für Forstwirtschaft, Vegetationskartierung
und Landschaftsökologie. Heidelberg 1996.
• Jensen, J.R., Introductory digital image processing. A remote sensing perspective, Upper
Saddle River (New Jersey) 1995.
• Lillesand, T.M. & R.W. Kiefer, Remote sensing and image interpretation. Cichester 2003.
Objective
Satellite Image Analysis and Practical Satellite Image Analysis
Algorithms for classification of multispectral and hyperspectral image data;
Methods for RADAR-data processing; Image transformations (IHS, PCA) and sensor fusion
(pansharpening); Atmospheric corrections; Fuzzy approaches in image analysis; Object-based
segmentation and classification.
International Masterp Programme Geomatics
Module-No.
GMCM2.E1 GIE2.4
page 2/2
1821.017.20153
Learning Target
Satellite Image Analysis and Practical Satellite Image Analysis
The students should learn pre-processing, classification and analysis of multispectral-,
hyperspectral- and radar-satellite image data. Therefore they get the opportunity to learn about
theory and practical applications of pixel-based and object-based segmentation and classification.
The students should obtain the qualification to determine and apply a suitable processing chain,
this dependent on the available satellite image data and the concrete task,.
Learning Time
Course
Satellite
ImageAnalysis
Practical Satellite
Image Analysis
SWS
Lecture Time
Supported Indiv.
Learning
(Exercises, Lab
Work, Project
Work)
2
30h
-
60h
90h
2
-
30h
60h
90h
Independent
Learning
Total
Frequency
annual, winter term
Credit Points
Examination: Laboratory oral exam 60 min. and written exam 90 min.
Pre-Examination: Laboratory work for Practical Satellite Image Analysis.
Modul-Nr. : GMCM3.E2
Page 1/2
18.01.2015
Module
Thematic Visualization
Semester: 2 resp. 3
Credit Points: 6
Courses
New capabilities in advanced thematic cartography
Level: 3
Weight: 1
Language: english
Visualization of time-dependent statistical data and dynamic processes
Lecturer(s)
Dr. Freckmann, Dr. Schaab, Dr. Günther-Diringer
Assignment to
Curriculum
International Masterprogramme Geomatics, elective, 3. Semester.
Form of Instruction
New capabilities in advanced thematic cartography and Visualization of time-dependent
statistical data and dynamic processes
Lectures
Lectures will be completed by discussions.
Project work
Visualising multi-variate data, creating anamorphoted maps, static and animated presentations of
time-dependent information, etc.
Study of literature, learning with notes
Entry Requirements
Knowledge, skills, proficiency
Thorough knowledge of cartography, especially thematic cartography
Examinations
Courses
Literatur:e:
• Andrienko, G. & N. Andrienko (2012): Visual Analytics of Movement. An Overview of Methods,
Tools and Procedures. Information Visualization, 12(1), P. 3-24
• Cartwright, W., M.P. Peterson & G. Gartner (eds.), Multimedia cartography. Berlin/Heidelberg
1999 (incl. CD-ROM)
• Fabrikant, S.I. & A. Lobben (2009): Introduction: Cognitive Issues in Geographic Information
Visualisation. Cartographica, 44(3), P.139-143
• Kraak, M.-J. & A. Brown, Web cartography. Developments and prospects. London 2001
• Kraak, M.-J. & F. Ormeling, Cartography: Visualization of geospatial data. Harlow 2003.
• Kraak, M.-J. (2008), From Geovisualisation Towards Geovisual Analytics. The Cartographic
Journal, 45(3), P. 163-164
• MacEachren, A.M., How maps work. Representation, visualization, and design. New
York/London 1995.
• Peterson, M.P., Interactive and animated cartography. Englewood Cliffs (New Jersey) 1994.
• Tufte, E.R., Envisioning information. Cheshire (Connecticut) 1990.
Journals:
•
Geoinformatics
•
http://geoanalytics.net/ica/
Objective
Software tools available in thematic cartography, modelling of multi-variate thematic map data,
Module-Nr. : GMCM3.E2
Page 2/2
18.01.2015
geographical visualization (GVIS); practical work designing anamorphated maps, producing highquality electronical thematic maps (e.g. based on SVG) as well as interactive thematic maps,
applying new map types (e.g. statistical surfaces, prism maps)
Types of dynamic spatial processes, data requirements, transformation of time dependent object
attributes, static presentations, time series in maps and animations; practical work designing static
and animated thematic maps
Learning Target
Students will discuss and learn about the range of software tools available in thematic cartography.
The concepts of geographical visualization are taught. They will learn how to design and create
cartograms and maps from multi-variate data making use of various modern cartographic map
methods. These include anamophated maps and new map types like prism maps. The students
will become familiar with designing high-quality electronical thematic maps incorporating
interaction.
Students will gain an understanding of modern cartography as a step-by-step process towards the
complete visualisation of spatio-temporal data. With reference to the lecture on new capabilities in
advanced thematic cartography, the students should broaden their knowledge in the areas of
requirements for timely varying information. They will gain the ability of presenting space and time
dependent processes through the analysis of time series and their effective representation in static
and/or animated thematic maps.
Learning Time
Duration: 1 semester, total: 120 h (6 CP)
SWS
Lecture Time
Supported
Indiv. Learning
(Excersises,
Lab Work,
Project Work)
New capabilities in
advanced thematic
cartography
2
25 h
5h
30 h
60 h
Visualization of timedependent statistical
data and dynamic
processes
2
25 h
5h
30 h
60 h
Course
Frequency
Credit Points
annual, winter term
Course
Pre-Examination
New capabilities in
advanced thematic
cartography
Home work
Visualization of timedependent statistical
data and dynamic
processes
Home work
Examination
Written Exam 120
Independent
Learning
Total
Module-No. GMCM3.E3
page ½
18.01.2015
Module
Spatial Analysis
Semester: 2; 3
Credit Points: 6
Courses
Theory of Geostatistics
Level: 4/5
Weight: 1
Language: English
Application of Geostatistical Methods
Lecturer(s)
Dr. Freckmann, Guest Lecturers
Assignment to
Curriculum
International Masterprogramme Geomatics elective, 3. Semester.
Form of Instruction
Lectures will be completed with exercises based on learning materials.
Application of Geostatistical Methods
Application of multivariate statistical methods with Geographic Information Systems (GIS).
Entry Requirements
Recommendations:
Fundamental knowledge in Elementary Statistics, Knowledge in Mathematics and experience in
working with GIS.
Requirements based on SPO: none
Courses
Literatur:
•
Armstrong, M. (1998): Basic Linear Geostatistics
•
Jean-Paul Chiles, J.-P. und Pierre Delfiner (1998): Geostatistics: Modeling Spatial
Uncertainty
•
Isobel Clark, I. und William Harper (2000): Practical Geostatistics 2000
•
Cressie, N. (1999): Statistics for Spatial Data
•
Davis, J.C. (2002): Statistics and Data Analysis in Geology
•
Dutter, R. (1985): Geostatistik - Eine Einführung mit Anwendungen
•
Goovaerts; P. (1997): Geostatistics for Natural Resources Evaluation
•
Isaaks, E.H. und R. Mohan Srivastava (1992): An Introduction to Applied Geostatistics
•
Olea, R.A. (1999): Geostatistics for Engineers and Earth Scientists
•
Stein, M.L. (1999): Interpolation of Spatial Data - Some Theory for Kriging
•
Wackernagel, H. (1998): Multivariate Geostatistics
Journals:
Objective
Students get an overview of:
•
Spatial variability
•
Modelling of the spatial characteristics of the variables
•
Interpolation methods (Kriging).
Application of Methods of Multivariate Statistics
Procedure of geostatistical analysis using Geographic Information Systems.
Module-No. GMCM3.E3
page 2/2
24.01.2015
Learning Target
The students are able to derive area related information from point data. This knowledge can be
used to solve problems in spatial sciences in order to build areas. Students get the competence to
use their knowledge in the wide range of spatial sciences.
Application of Methods of Multivariate Statistics
Students have the ability to use geo statistical methods in an efficient way. They understand the
functionality of Geographic Information Systems for the analysis of geo statistic data. They have
also the ability to prepare data related to the geo statistical methods which will be used for the
analysis, to apply the geo statistical methods with GIS, to present the results in a group and to
discuss them in a competent way.
Learning Time
Course
Theory of
Geostatistics
Application of
Methods of
Multivariate Statistics
Frequency
Credit Points
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
2
20 h
10 h
60 h
90 h
2
5h
25 h
60 h
90 h
annual, winter term
Course
Pre-Examination
Theory of
Geostatistics
-
Application of
Methods of
Multivariate Statistics
-
Examination
Home work
Independent
Learning
Total
Module-No. GMCM2.E4
page 1/2
20.01.2015
Module
Digital Signal Processing and Numerical Methods
Semester: 3
Credit Points: 6
Courses
Digital Signal Processing
Level: 4/5
Weight: 1
Language: English
Numerical Methods
Lecturer(s)
Dr. Dürrschnabel, Dr. Jäger
Assignment to
Curriculum
International Master Geomatics, elective, 3. Semester.
Form of Instruction
Lecture:
Lecture is supplemented by discussions on basis of lecture notes and assignments.
Independent learning:
Study of literature, learning through lecture notes, assigments
Entry Requirements
Knowledge in Algebra, Analysis, Programming
Exam: none
Courses
Literature:
Objective
Discrete-time signals and systems, sampling-theorem, discrete-time Fourier transform, discrete
Fourier transform (DFT), z-transform, transfer function, stability criteria, FIR- and IIR-filters,
discrete-time random processes, applications of digital signal processing
•
•
•
•
•
•
•
•
•
•
Bärwolff, G.: Numerik für Ingenieure, Physiker und Informatiker, Spektrum
Schwarz/Klöckler: Numerische Mathematik, Vieweg+Teubner 2001
Burden&Faires: Numerical Analysis (9th Edition), Brooks/Cole 2011
Stoer/Bulirsch: Numerische Mathematik 1 und 2, Springer
Stoer/Bulirsch: Introduction to Numerical Analysis
Oppenheim/Schafer: Discrete-Time Signal Processing, Prentice Hall 2009
Hoffman/Quint: Signalverarbeitung mit MATLAB und Simulink, Oldenbourg Verlag 2012
Kammeyer/Kroschel: Digitale Signalverarbeitung, Teubner Verlag 2002
Diniz/Silva/Netto: Digital Signal Processing, Cambridge University Press 2010
Meyer: Signalverarbeitung, Springer Vieweg 2014
Numerical Methods
Functions: Interpolation and approximation with polynomials and splines, Fourier transform, FFT;
Data approximation: direct and iterative solution of systems of linear equations, decomposition of
matrices, norms, condition, relaxation, eigenvalue problems, tridiagonalisation;
Optimization: Linear programming problems, canonical form, simplex algorithm;
MATLAB: introduction, simple algorithms, accompanied examples and problems
Module-No. GMCM2.E4
page 2/2
20.01.2015
Learning Target
After having successfully completed the course, the students should
- be able to apply essential tools of digital signal processing
- be able to interprete discrete-time signals/systems and their frequencey domain representation
- be able to use appropriate numerical methods, if exact methods are impossiple or complicated.
Numerical Methods
After having successfully completed the course, the students should
-‐
know and be able to use appropriate numerical methods, if exact methods are impossiple
or complicated.
Learning Time
Course
SWS
Lecture Time
Supported Indiv.
Learning
(Exercises, Lab
Work, Project
Work)
2
15 h
15 h
60 h
90 h
Numerical Methods
2
20 h
10 h
60 h
90 h
Frequency
Annual, winter term
Examination: written exam 120 min.
Pre-Examination: none
Independent
Learning
Total
Modul-No. GMCM3.E5
Page 1 von 2
20.02.2015
Module
Physical Geodesy
Semester: 3
Credit Points: 6
Courses
Physical Geodesy
Lecturer(s)
Dr. Müller
Assignment to
Curriculum
International Masterprogramme Geomatics, elective module, 3. Semester
Form of Instruction
Physical Geodäsie
Lectures
Project Work
Entry Requirements
Recommendations:
Knowledge of mathematics, physics, mathematical geodesy and satellite geodesy
Level: 4/5
Weight: 1
Language: english
none
Courses
Literature:
•
Hofmann-Wellenhof, B: Physical Geodesy. Springer, Wien, 2006.
•
Torge, Wolfgang: Geodesy, deGruyter, Berlin, 2003.
•
Torge, Wolfgang: Gravimetry, deGruyter, Berlin, 1989.
Objective
Physical Geodesy
•
•
•
•
•
•
•
•
•
•
•
•
•
•
History of Physical Geodesy
Gravitation and gravitational potential, gravity potential
Levelsurfaces, gradient, plumb line, geoid
Gravitational potential in spherical harmonics
Normal field, level ellipsoid, reference systems
Boundary value problems (Stokes, Molodensky, …)
Deviation of the vertical, astrogeodetic geoid determination
Height reference systems and reference surfaces
Geoid determination with satellite methods
Regional and high accuracy geoid determination
Absolute and relative gravimetry
Application of relative gravimeters
Time variations of the gravity field
Gradiometry
Modul-No. GMCM3.E5
Page 2 von 2
International Masterprogamme Geomatics (M.Sc
20.02.2015
Learning Target
After having successfully completed the course, the students should know the fundamentals of
physical geodesy. They should be able to make themselves familiar with complex mathematical
and physical problems and to find solutions. They should know the main methods of gravimetry
and of geoid computation and they should be able to apply them.
Learning Time
Course
Physical Geodesy
Frequency
Credit Points
SWS
Lecture Time
4
60 h
Supported
Learning
20 h
Independent
Learning
100 h
annual, winter term
Course
Physical Geodesy
Pre-Examination
Examination
Project work
Written examination 120 min
total
180 h
Internationaler Masterprogramme Geomatics
Modul-Nr. GMCM3.E6
Seite 1/2
18.01.2015
Modul
Ingenieurphotogrammetrie und Ingenieurvermessung
Semester: 3
Kreditpunkte: 6
Lehrveranstaltungen
Ingenieurphotogrammetrie
Niveau: 4/5
Gewicht: 1
Sprache: deutsch
Ingenieurvermessung
Modulverantwortliche(r)
Dozent(en)
Dr. Schwäble, Dr. Pfeiffer
Zuordnung zum
Curriculum
International Masterprogramme Geomatics, Wahlfach, 3. Semester.
Lehrformen
Ingenieurphotogrammetrie und Ingenieurvermessung
Vorlesung
Vorlesungen werden durch Übungen auf Basis von Lehrmaterialen ergänzt.
Projektarbeit
Praktische Durchführung der Projektarbeit mit der vorhandenen Ausstattung (Hardware und
Software) des Photogrammetrie-Labors.
Ingenieurvermessung
Projektarbeit
Durchführung einer GPS-basierten Deformationsmessung mit anschließender Analyse
Voraussetzungen für die Empfohlene Voraussetzungen:
Teilnahme
Grundlagen der Photogrammetrie
Grundlagen der Ingenieurvermessung
Gute Kenntnisse in der Ausgleichungsrechnung
Literatur und Medien zur Literatur:
•
Luhmann, Thomas (Hrsg.): Nahbereichsphotogrammetrie in der Praxis. Beispiele und
Vorbereitung der LehrProblemlösungen. H. Wichmann Verlag, Heidelberg, 2002
veranstaltungen
•
•
Jäger/Müller/Saler/Schwäble: Klassische und robuste Ausgleichungsverfahren. Wichmann Verlag,
Heidelberg 2005
Welsch/Heunecke/Kuhlmann: Auswertung geodätischer Überwachungsmessungen. Handbuch der
Ingenieurgeodäsie, Hrsg.:Möser et. Al., Wichmann Verlag, Heidelberg 2000
Zeitschriften:
•
Photogrammetrie Fernerkundung Geoinformation (PFG), Organ der DGPF,
E. Schweizerbart’sche Verlagsbuchhandlung Stuttgart, diverse Artikel
Lehrinhalt
Planung einer photogrammetrischen Bildaufnahme eines dreidimensionalen Industrieobjektes,
geodätische Passpunktbestimmung und Auswertung der Messbildaufnahmen durch verschiedene
Präzisionsbildmeßverfahren. Alternative Bildauswertung durch vollautomatische Verfahren des
Maschinensehens. Analyse der Qualität der Auswerteergebnisse und Erstellung einer
Kostenrechnung für den Auftraggeber.
Ingenieurvermessung
a) Beschreibung von Deformationsprozessen: Klassifizierung, Ursache-Wirkung, Zeitverhalten,
Internationaler Masterstudiengang Geomatics
Modul-Nr. GMCM3.E6
Seite 2/2
18.01.2015
Dynamisches Deformationsmodell, Rheologisches Modell, Deformationsprozesse in der Praxis.
b) Sensorik zur Überwachungsmessung
c) Planung von Deformationsmessungen: Das geometrische Objektmodell, Vorermittlungen und
Messkonzept, Hardwarekonfiguration, Messverlauf, Kostenermittlung
Deformationsanalyse: Statistische und Ausgleichungsmodelle zur Analyse, Deformationsanalyse
ohne Anschlusskontrolle, Deformationsanalyse mit Anschlusskontrolle, Sensitivitätsanalyse
Lernziel
Ingenieurphotogrammtrie
Im Rahmen einer Projektarbeit wird der vollständige Arbeitsablauf bei Aufgabenstellungen der
photogrammetrischen Industrievermessung erarbeitet und durch eigene Bildaufnahme und
Auswertung praktisch erprobt.
Ingenieurvermessung
Kenntnisse über die Entstehung von Deformationen sowie über die Methoden und Algorithmen zur
Erfassung und Analyse entsprechender Daten.
Fähigkeit, Deformationsmessungen zu planen, auszuführen und anhand spezieller Software
auszuwerten und zu beurteilen.
Arbeitsaufwand
Dauer: 1 Semester, insg.: 180 h
Lehrveranstaltung
SWS
Vorlesung
Unterstütztes
ind. Lernen
(Übung. Labor/Projektarbeit)
Unabhängiges
Lernen
Ing.-Photogrammetrie
2
15 h
15 h
60 h
Ing.-Vermessung
2
15 h
15 h
60 h
Insg.
90
90
Häufigkeit des Angebots jährlich, Wintersemester
Voraussetzungen
für die Vergabe von
Leistungspunkten
Prüfungen: Klausur 90 Min. und Studienarbeiten
Prüfungsvorleistungen: keine
Module Code GMCM301
Page 1/2
12.01.2015
Module
OpenSource GIS
Semester: 2 resp. 3
Credit Points: 6
Courses
Introduction to OpenSource GIS
Level: 4/5
Weight: 1
Language: English
OpenSource GIS Project
Lecturer(s)
Dr. Vetter, Dr. Schaab, Guest Lecturers
Assignment to
Curriculum
International Master Geomatics, elective, 3. Sems
Form of Instruction
Introduction to OpenSource GIS
Lectures are complemented by supported independent learning in the form of practical work and by
discussions.
OpenSource GIS project
With the project works complex GIS tasks will be carried out by groups of 4-6 students.
Intermediate results are explicated in form of reports and demonstrated by oral presentations.
Entry Requirements
Recommended Requirements
Advanced knowledge in the field of Geo Information Systems, software handling, programming
Examinations
Courses
Literature:
•Adams, Till & Marc Jansen (2010): OpenLayers, Webentwicklung mit dynamischen Karten und
Geodaten. Open Source Press, München.
•Mitchell, Tyler, Arnulf Christl & Astrid Emde (2008): Web-Mapping mit Open Source-GISTools. O'Reilly, Köln.
•Mitchell, Tyler (2005): Web Mapping Illustrated. O'Reilly Media, Sebastopol (CA).
Internet:
•Documentation PostGIS: http://postgis.refractions.net/documentation/
•Documentation Mapserver: http://mapserver.org/documentation.html
•Documentation GeoServer: http://docs.geoserver.org/
•Documentation OpenLayers: http://trac.osgeo.org/openlayers/wiki/Documentation
•Documentation GeoEXT: http://geoext.org/docs.html
•Documentation QGIS: http://www.qgis.org/en/documentation.html
Objective
Introduction to OpenSource GIS:
Introduction to Linux and the OpenSource WebGIS tools UMN-Mapserver, PostgreSQL/PostGIS,
GeoServer, QGIS, OpenLayers/GeoEXT and PHP
OpenSource GIS project:
Applying project management techniques and solving of complex space-related problems by
means of OpenSource WebGIS software
Module Code GMCM301
Page 2/2
12.01.2015
Learning Target
Introduction to OpenSource GIS:
Students learn about the current range of software tools available in OpenSource GIS. Further, the
concepts of OpenSource software are taught. Students understand the theory of OGC standards
like WMS, WFS and are able to solve problems with the related methods. The students are familiar
with UMN-Mapserver, GeoServer, PostgreSQL/ PostGIS and OpenLayers/GeoEXT. In addition,
students have the competence to develop and use OpenSource WebGIS tools.
OpenSource GIS project:
Students know how to apply their project management knowledge when elaborating an
OpenSource WebGIS project. Students can work coordinated in project groups. They are able to
analyse a complex problem leading to the oral presentation of a concept. Students broaden their
knowledge about OpenSource GIS programming for solving space-related questions and enhance
their capabilities in preparing technical documentations.
Learning Time
Course
Introduction to
OpenSource GIS
OpenSource GIS
project
SWS
Lecture Time
Supported Indiv.
Learning
(Exercises, Lab
Work, Project
Work)
2
15 h
15 h
30 h
60 h
2
15 h
15 h
90 h
120 h
Independent
Learning
Total
Frequency
Annual
Credit Points
Examination: oral examination 15 min (2 CPs, weight 2)
Pre-Examination: project including documentation and presentation (4 CPs, weight 1)
Modul-Nr. : GMCM302
Page 1/3
12.01.2015
Module
Navigation Technologies and Mobile GIS
Semester: 3
Credit Points: 6
Courses
Introduction to Navigation Technologies and Mobile GIS
Navigation Technologies and Mobile GIS Developments
Lecturer(s)
Dr. Jäger
M.Sc. Andreas Hoscislawski
Assignment to
Curriculum
International Masterprogramme Geomatics, Compulsory module , 3. Semester
Form of Instruction
Navigation Technologies and Mobile GIS Developments
Level: 4/5
Weight: 1
Language: English
Lectures
Lectures on the theoretical and algorithmic background of navigation and georeferencing
technologies
Project work
Supported and independent learning in the laboratory on GNSS&navigation and at home
Study of literature, learning with notes
Entry Requirements
Knowledge, skills, proficiency
Reference Frames & Positioning, Statistics and Adjustment, Programming.
Examinations
-/-
Courses
Literature:
Ruizhi, C. and R. Guiness (2014): Geospatial Computing in Mobile Devices. Artech House, Boston London.
Runder Tisch GIS e.V. (2013): Leitfaden - Mobiles GIS und standortbezogene Dienste. Hrsg. Runder Tisch e.V.
München.
Hofmann-Wellenhof, B, K. Legat, K and M. Wieser (2011): Navigation: Principles of Positioning and Guidance.
Springer-Verlag, Wien.
Hofmann-Wellenhof, B., Lichtenegger, H. and E. Wasle (2008): GNSS - Global Navigation Satellite Systems:
GPS, GLONASS, Galileo, and more. Springer-Verlag, Wien.
J. Blankenbach (2010): Handbuch der mobilen Geoinformation: Architektur und Umsetzung mobiler standortbezogener Anwendungen und Dienste unter Berücksichtigung von Interoperabilität, Wichmann Verlag.
M. Bauer (2012): Vermessung und Ortung mit Satelliten - Globales Navigationssatellitensystem (GNSS) und
andere satellitengestützte Navigationssysteme. Wichmann-Verlag. 6, Auflage.
M. Becker und K. Hehl (2012): Geodäsie. WBG Verlag, Darmstadt.
Jäger, R.; Müller, T, Saler, H. und R. Schwäble (2005): Klassische und robuste Ausgleichungsverfahren - Ein
Leitfaden für Ausbildung und Praxis von Geodäten und Geoinformatikern. Wichmann-Verlag, Heidelberg.
ISBN 3-87907-370-8.
Böser, W., Dürrschnabel, K., Girndt, U., Hanauer, R., Hell, G., Jäger, R., Klein. U., Müller,T., Saler, H., Schwäble, R. und G. Schweinfurth (2012): Geomatik aktuell 2012. Präzise Navigation und Mobile Geodatenerfassung Out- und Indoor. Karlsruher Geowissenschaftliche Schriften Reihe B, Band 7.
•
www.navka.de
•
http://wiki.openstreetmap.org/wiki/RTKLIB
•
http://rts.igs.org/
•
http://www.galileo-masters-bw.de/start.oscms/0/3860/25046/Baden-Wuerttemberg.html
•
http://www.eclipse.org/
•
http://developer.android.com/index.html
•
http://rtklib.com
Modul-Nr. : GIMCM302
Page 2/3
12.01.2015
Objective
• Navigation parameters, navigation frames and transition between different frames
• Navigation principles, navigation tasks, modes and challenges in modern seamless out-and
indoor navigation & geo-referencing of vehicles, persons and goods.
• Sensor- and platform technologies (GNSS, physical MEMS, optical and auxiliary sensors)
• Mathematical models and basic concepts of navigation algorithms and sensor fusion..
• Building georeferencing and navigation in buildings using different algorithms and technologies
• Sensor and platform-design for different navigation and georeferencing tasks (automotive, and
pedestrian navigation, out- and indoor virtual reality, mobile georeferencing of objects).
• GNSS (sensor-data, geo.data, algorithms and IKT-infrastructures) technologies for positioning
and navigation on different levels of accuracy. GNSS-software receiver technologies and open
source software. Smartphone as GNSS-positioning and navigation platform.
• MEMS-based navigation algorithms based on wearables, optical sensors and map-matching.
• GNSS/MEMS multi-and multiplatform algorithms with regard to smartphones/tablet technologies.
Navigation Technologies and Mobile GIS Development
• Design and development of navigation systems using smartphones/tablets as sensor- and
computation platform based on Java programming (e.g. under eclipse), on embedding open
source software, communication and IKT technologies.
• Software and Systems Development based on GNSS, MEMS and optical sensors for
Positioning-, Navigation-, Geo-referencing- and Mobile GIS applications
• Software Design and Development on GNSS-Positioning and Internet-based Data
Communication Components
• Software Design and Development on Attitude Determination for Virtual Reality and Georeferencing in Mobile GIS
• Development on the Integration of open and non-open source software, maps and other
external communication and information (LOD4, points of interest, databases) infrastructures.
Modul-Nr. : GIMCM302
Page 3/3
12.01.2015
Learning Target
At first the different navigation and georeferencing systems and parameterizations are discussed.
Students learn the global and local reference systems and the link to the navigation sensor,
platform, and object system and the corresponding mathematical models and parameterizations
know. In the following are the models of navigation state description, sensor data fusion and state
estimation are treated. In this context of sensor data fusion, modeling of the physical sensor data
from GNSS, MEMS, optical and other sensors are also part of the lecture. Students learn about the
various mathematical models and algorithmics for designing multi-sensor multi-platform systems
for different out-/Indoor-technologies and applications in navigation and geo-referencing. These
include algorithms, software and systems for geo-referencing and out-/indoor navigation, deep and
tight coupling of GNSS, MEMS and camera sensor data, modeling, and self-calibration of
distributed sensors and platform navigation. Navigation of people, ground-/water/air/-robotics and
manned systems. Mobile computing and mobile GIS, algorithms and applications for smartphones,
tablets with any sensor hardware. The students can make appropriate system developments and
be active both in research and in industry related to the above mobilty technologies.
Navigation Technologies and Mobile GIS Development
The students learn to apply the mathematical models in order to develop algorithms and software
for the realization multisensor-systems for different various positioning, navigation (people, vehicles
and goods), geo-referencing, mobile GIS tasks concernin. The developments take place in the
laboratory for GNSS & Navigation and the computer pool. As concern the sensors and hardware
these are based on GNSS/MEMS sensors, which available directly on smartphones/or and tablets,
on external sensors (e.g. GNSS) and on data communication infrastructures and standard (.e.g
Blue Tooth). So the students can even use partly their own hardware for the tasks of complex
software and algorithmic developments. The software developments are based on Java (typically
under eclipse), and the use open-source software (e.g RTKLIB, KITTI) and non-open software.
Learning Time
Course
Introduction Navigation and Mobile GIS
Navigation Technologies and Mobile GIS
Developments
SWS
Lecture Time
Supported Indiv.
Learning
(Exercises, Lab
Work, Project
Work)
2
24 h
25 h
26 h
75 h
2
24 h
45 h
36 h
105 h
Independent
learning
Total
Frequency
annual, winter term
Credit Points
Examination: written exams, 60 and 90 min. respectively in both lectures
Pre-Examination: Laboratory and Home work
Modul-No. GMCM303
Page 1/2
18.01.2015
Module
Software Engineering and Programming
Semester: 2 resp. 3
Credit Points:
Courses
Software Engineering
6
Level:
4/5
Weight:
1
Language: English
Programming
Lecturer(s)
Dr. Bürg, Dr. Dürrschnabel
Assignment to
Curriculum
Master Geomatik, compulsory module 2. Semester
International master geomatics, compulsory module, 3. Semester
Form of Instruction
The courses are supplemented by discussion sessions.
Programmierung
The courses are supplemented by exercises that the students are self-implementing.
Entry Requirements
Knowledge of one of the following programming languages: C + +, Java. Knowledge of data
structures and algorithms, basic knowledge from all areas of computer science.
Requirements by SPO:
none
Courses
Literature:
•
H. Balzert: Lehrbuch der Software-Technik, 2 Bde. m. CD-Roms, Spektrum Akademischer
Verlag
•
D. Flanagan: Java in a Nutshell, O’Reilly
•
T. de Marco: Structured Analysis and Systems Specification, Prentice Hall
•
B. Oestereich: Analyse und Design mit UML 2.1, Oldenbourg
•
R.. Pressman: Software Engineering, McGraw-Hill
•
Skriptum Java -Graphics
Internet / multimedia:
•
www.uml.org
•
www.codeguru.com
•
www.codecranker.com
•
www.programmersheaven.com
Objective
Problems in software development, software development process, structured analysis and design
techniques (eg flow charts, Jackson-diagram), object-oriented modeling, UML, software testing,
project management.
Programming
Based on the lecture "programming" from the first semester, the following themes are treated:
methods, graphical output with AWT and Swing, threads, exceptions, applets, events, animations,
class libraries.
Concrete project teamwork in order to use and handle the tools from the software engineering.
Modul-No.
Page 2/2
GMCM303
18.01.2015
Learning Target
The students learn the methods of information technology and are capable of high quality software
development. The students learn both the classic and the modern object-oriented development
methods.
Programming
The students will be able to develop independently problem-solutions with an average degree of
difficulty and implement these.
The students learn through independent practical work, how to solve difficult problems in a team
and how to develope a software package.
Learning Time
Frequency
Credit Points
Course
SWS
Lecture Time
Supported Indiv.
Learning
(Excersises, Lab
Work, Project
Work)
2
20 h
10 h
60 h
90 h
Programming
2
20 h
10 h
60 h
90 h
Independent
Learning
Total
annual, winter term
Course
Programming
Pre-Examination
Examination
Home work
Oral Examination 30 min
Module-No. GMCM401
10.01.2015
Module
Seminar zur Master Thesis
Semester: 4
Credit Points: 2
Courses
After the choice of the topic of the master Thesis, the student has to work out the scientific
imbedding of the topic and to present.
Lecturer(s)
Dr. Jäger
Assignment to
Curriculum
Compulsory module for Geomatik Master Programme and Geomatics Int. Master Programme
Form of Instruction
Individual learning
Entry Requirements
Deepened knowledge within the range of the topic the master thesis
Level: 5
Weight: 1
Language: English
Examinations:
Successful conclusion of all modules (max. two modules can be completed after beginning of the
Thesis).
Objective
Scientific imbedding of the master topic.
Learning Target
Become acquainted with the bases of scientific working from the experiment (data acquisition) up
to the evaluation of publications.
Learning of correct scientific working and the derivation of a topic
The student is able to formulate working hypotheses and plan data acquisitions regarding correct
statements and statistic evaluations
As well as the moreover one he knows structuring of scientific texts, working with literature
references and scientific formulation, as well as presenting scientific data.
Learning Time
Duration: 0.5 month, total: 90 h
Frequency
anytime
Credit Points
The result of this work is to be presented in form of a report (3000 words).
For German students of the International Master Programme Geomatics it is compulsory to write
the documentation in English and to present the report in English.
Hochchule Karlsruhe – Technik und Wirtschaft
Module-No. GMCM402
page 1/2
10.01.2015
Module
Master-Thesis
Semester: 4
Credit Points: 25
Courses
The module comprehends formulation of a research problem in a theoretical and practical form,
development of research methods, collecting and analyzing of data and writing of the master
thesis.
Lecturer(s)
Dr. Jäger
Assignment to
Curriculum
Form of Instruction
The students are supported in the production of the Thesis by first and a second supervisor. They
receive literature recommendations and advice to suitable research methods. Preparing work and
milestones of the thesis are presented in the thesis seminar by the students. With a colloquium the
master will be completed.
Entry Requirements
Deepened knowledge within the field of the topic the master Thesis.
Level: 5
Weight: 4
Language: English
Examinations:
Successful termination of all modules (max. two modules can be finished after beginning of the
thesis) and the seminar to master thesis.
Courses
Literatur:
•
•
•
Anderson, J B Duration, and M Poole. 1970. Thesis and Assignment Writing Brisbane: John Wiley
and Sons.
Flower, L (1989) Problem-Solving Strategies for Writing, 3rd Edition New York: Harcourt Brace
Jovanovich. Meloy J. (1994)
Baade, J., Gertel H., Schlottmann A (2005): Wissenschaftlich Arbeiten. Haupt Verlag, Stuttgart
Objective
-
Learning Target
The student is to show with the master thesis that it is able to work on a suitable topic
independently. Purpose of the thesis is to develop a research topic, convert it methodically,
analyzing critically and evaluate the results. Social, technological and aesthetic criteria are to be
considered. The work is to make a contribution for knowledge extension related to the topic. The
topic is selected from the research surrounding field of the faculty and constituted by suitable
supervisors. The definition and the delimitation of the topic are primarily task of the student and he
thereby is individually supervised.
Learning Time
Duration: 5 months, total: 825 h
Frequency
anytime
Credit Points
The master thesis should have 15,000 to 20,000 words (without appendix) and can be written in
German or English. An abstract with 1.000 words in German resp. English is to be delivered with
the thesis. The text can contain the following supporting parts: Graphics, photo, multimedia
components, qualitative and quantitative data, 3D models or prototypes, Web contents. 3D of
models and Multimedia components must be present on suitable media. The whole material must
be put down on a suitable digital data medium.
There is three copies of the master thesis to deliver inclusive all digital storage media (one copy for
the first supervisor, one for the second supervisor and one for the faculty).
The supervisors evaluate the master Thesis.
Module-No. GMCM402
page 2/2
10.01.2015
For German students of the International Master Programme Geomatics it is compulsory to write
the Master Thesis in English. In addition the Master Thesis, which is carried out by the german
students of the Master Programme Geomatics, has to be international oriented (e.g. use of geo
date from foreign countries, topic related cooperation with foreign partner universities, companies
or other institutions).
Module-No. GMCM403
page 1/1
10.01.2015
Module
Kolloquium zur Master Thesis
Semester: 4
Credit Points: 1
Courses
-
Lecturer(s)
Dr. Jäger
Assignment to
Curriculum
Form of Instruction
Independent individual learning
Entry Requirements
Scientific working and knowledge over presentation forms
Level: 5
Weight: 1
Language: English
Examinations:
After handover of the written part of the master thesis the colloquium with evaluation takes place.
Objective
-
Learning Target
The student is able to present scientific knowledge won to an audience in form of a lecture in
understandable form and in appropriate imbedding into the scientific surrounding field as well as
giving in a following discussion sufficiently answer.
Learning Time
Duration: total: 60 h
Frequency
anytime
Credit Points
Presentation and questioning take place satisfyingly.
For German students of the International Master Programme Geomatics it is compulsory to present
the results of the Master Thesis in English.

Technik und Wirtschaft Fakultät für Informationsmanagement und

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