Hochschule Karlsruhe – Technik und Wirtschaft Modul-Nr. … · 2017-02-15 · map symbols, the use of different map types Thematic Cartography Basics of cartography (scale, projection,

Hochschule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien International Masterprogramme Geomatics

Modul-Nr. GMCM101 05.01.2015

Module

Statistics, Adjustment and Reference System

Semester: 1

Credit Points: 6

Level: 4

Weight: 1

Language: English

Courses

Statistics and Adjustment 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: • 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: Abbil-

dungsverfahren. 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,

2nd 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 Sys-

tems: 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: • 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

Statistics and Adjustment 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). Reference Systems and Positioning • 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. RTCM-correction 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

Statistics and Adjustment 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. Reference Systems and Positioning 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 GNSS-based 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 SWS Lecture Time

Supported Indiv. Learning

(Excersises, Lab Work, Project

Work)

Independent Learning Total

Statistics and Adjustment 3 24h 6h 60h 90h

Reference Systems and Positioning 2 24h 6h 60h 90h

Frequency

annual, winter term

Karlsruhe University of Applied Sciences Faculty of Geomatics International Master Programme Geomatics


Requirements awarding Credit Points

Examination: written exam 120 min.

Course Pre-Examination Examination

Statistics and Adjustment Home Work Written Exam 60

Reference Systems and Positioning Home Work Written Exam 60


Module No GMCM102 18.01.2015

Module

Thematic Cartography

Semester: 1

Credit Points: 6

Level: 4

Weight: 1

Language: English

Courses

Thematic Cartography GIS-Programming


Dr. Günther-Diringer, Dr. Freckmann, Dr. Schaab, Dr. Bürg


International Master Programme Geomatics, Compulsory, 1. Semester

Form of Instruction

Thematic Cartography 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


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

Internet / Multimedia: • www.programmersheaven.com

Objective

Thematic Cartography 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

Thematic Cartography 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




(Excersises, Lab Work,

Project Work)


Basics in thematic cartography 2 20 10 60 90

GIS-Programming

2 15 15 60 90

Frequency

annual, winter term


Examination: written examination 120 min.


Thematic Cartography 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

Level: 4

Weight: 1

Language: English

Courses

GIS Data models and databases


Dr. Saler, Dr. Schaab,


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 Independent learning Study of literature, learning with notes and eLearning units

Entry Requirements

Recommended requirements: Basic knowledge in GIS and data bases Examinations: none


Literature Databases: • 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 0-07-

352332-1. Literature GIS: • 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 Internet / Multimedia:

o www.geoinformation.net o www.geocomm.com o www.gis.com

Objective

GIS Meta data systems and data acquisition, data exchange, graphical user interfaces, GIS on the



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 Data models and databases 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. Data models and databases 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





Work)


GIS 3 20h 25h 65h 110h Data models and databases 2 22h 8h 40h 70h

Frequency

annual, winter term


Examination: written exam 120 min. for both lectures


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

Level: 4

Weight: 1

Language: English

Courses

Photogrammetry Remote Sensing


Dr. Pfeiffer


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


Literature: • 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





Work)


Photogrammetry

2 40h 5h 45h 90h

Remote Sensing

2 20h 10h 60h 90h

Frequency

annual, winter term


Examination: Written exam 120 min. for both lectures


Photogrammetry Lab. Work Written Exam 60

Remote Sensing Lab. Work Written Exam 60



Module

Scientific Work, Language and Rhetoric

Semester: 1

Credit Points: 6

Level: 4/5

Weight: 1

Language: English/German

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)


Dr. Jäger, Lecturers of IfS and Career Center


Geomatics Int. Master Programme, Compulsory module, 1. Semester.

Form of Instruction

Lectures Lectures will completed with conversation Independent learning Studying of literature, learning with notes

Entry Requirements

Requirements: English TOEFL 500 or IELTS 5.0 according to the admission requirement


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 Internet / Multimedia:

- http://www.hs-karlsruhe.de/internationales/ifs.html - http://www.hs-karlsruhe.de/meta-navigation/unternehmen/recruiting/center-of-competence.html

Objective

See announcements on WebSite, black board at Geomatics secretary and outline of IfS and CC lecturers

Karlsruhe University of Applied Sciences Faculty of Geomatics Geomatics Int. Master Programme


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 pro-fessionals, or prepared with methods on international marketing, or with advanced capacities on scientific work.

Learning Time





Work)


Languages Modules and Modules from General Studies

8 120 - 60 180

Frequency

Winter term


Examination: See notice of IfS and Career Centre Pre-Examination: See notice of IfS and Caree Centre

Hochschule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien International Masterprogramme Geomatics (M.Sc.)

Modul-No. GMCM2.E1 page 1 / 2 20.02.2015

Module

Location Based Services (LBS)

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: english

Courses

Construction of Spatial Models and Topology Visualisation and Application of Location Based Services


Dr. Freckmann


International Masterprogramme Geomatics, elective

Form of Instruction

Construction of Spatial Models and Topology Lectures will be completed by discussions. Visualisation and Application of Location Based Services 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


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

• Reichenbacher, T.: Adaptive methods for mobile cartography. Proceedings of the 21st 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 Technologies in Tourism 2001. Proceedings of ENTER 2001, 8th 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

Internet / Multimedia: http://www.esri.de/products/arcgis/about/mobile.html

Objective

Construction of Spatial Models and Topology 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 and Application of Location Based Services 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).


Modul-No. GMCM2.E1 page 2 / 2 20.02.2015

Learning Target

Construction of Spatial Models and Topology 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. Visualisation and Application of 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 services-project 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


Course SWS Lecture Time Supported Indiv. Learning


Construction of Spatial Models and Topology

2 25 h 5 h 30 h 60 h

Visualisation and Application of Location Based Services

2 20 h 10 h 90 h 120 h

Frequency

annual, summer term

Requirements Awarding Credit Points


Construction of Spatial Models and Topology

Project work

Written Exam 120 Visualisation and Application of Location Based Services

Project work

Karlsruhe University of Applied Sciences Fakultät für Information Management und Medien International Masterprogramme Geomatics

Module-No GMCM2.E2 page 1/3 18.01.2015

Module

Satellite Geodesy and Geodetic Monitoring

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: English

Courses

Satellite Geodesy Geodetic Monitoring


Dr. Jäger


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 mate-rials, 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 moni-toring system GOCA developed at HSKA.

Entry Requirements

Recommended requirements: Basic knowledge on bachelor level in satellite geodesy, adjustment and statistics or visit of the mo-dule statistics, adjustment and reference systems (GI FP01). Exam: none


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, Öster-reich. Springer.

• Kaula, W.: Theory of Satellite Geodesy. Basedell, Waltham. BA. • Jäger, R., Müller, T., Saler, H. und R. Schwäble (2005): Klassische und Robuste Ausglei-

chungsverfahren. 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. Internet / Multimedia: • 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

Objective

Satellite Geodesy

• Revision on GNSS-status and GNSS positioning techniques • GNSS positioning; transition between ECIF ECEF; satellite orbit representation; ionos-

phere; troposphere; IGS and IGS-products; methods of ambiguity resolution and develop-ments; Doppler-measurements; cycle-slip detection; phase smoothing of code-measurements; 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; Lagran-ge’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 inter-ferometry (VLBI); satellite altimetry.

• Present developments in GNSS positioning, gravity field determination and related topics. • Excercises: RTK measurements and transformation using SAPOS; GNSS-data proces-

sing using different software and algorithms (Bernese GNSS; GPSLab, etc.)

Geodetic Monitoring • Introduction: standards and profile of geodetic monitoring systems; scaleability; applica-

tions in geomatics, geodynamics, geotechnics, geology, civil engineering); early warning systems; overview of systems.

• Deformation-analysis models and network adjustment concepts. Observation and coordi-nate-related deformation analysis. Special problems related to free deformation networks. Global geodynamics modelling (datum, datumdrift, plate tectonic). Classification of de-formation 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 es-sential extension concerning the mathematical and physical foundations, algorithms and concepts in the essential fields of satellite geodesy. As concerns GNSS-based positioning (geometrical sa-tellite geodesy), the topics of reference frames, GNSS data-acquisition, algorithms and dat-processing, 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 data-processing 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 adjust-ment 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 in-dustrial and technological developments, in system and software architecture and development in industry, as well as in research institutions.

Learning Time





Work)


Satellite Geodesy

2 24 h 18 h 48 h 90 h

Geodetic Monitoring

2 24 h 18 h 48 h 90 h

Frequency

annual, summer term



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

Level: 4/5

Weight: 1

Language: english

Courses

Script Languages Advanced Visualisation


Dr. Freckmann


International Master Programme Geomatics, elective

Form of Instruction

Script Languages Lectures will be completed by discussions. Exercises and project work in the lab. Advanced Visualisation 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, Requirements based on SPO: none


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. Advanced Visualisation 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

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




Script Languages

2 10 h 20 h 60 h 90 h

Advanced

visualisation

2 10 h 20 h 60 h 90 h

Frequency

annual, winter term



Script Languages

Project work

Written exam 120 Advanced

visualisation

Project work

Karlsruhe University of Applied Sciences Faculty of Information Management and Media International Masterprogramme Geomatics

Module-No. GMCM3.E4 page 1/3 12.01.2015

Module

Mathematical Geodesy and Adjustment

Semester: 3

Credit Points: 6

Level: 5

Weight: 1

Language: English

Courses

Mathematical Geodesy Adjustment


Dr. Jäger, Dr. Saler


Interanational Masterprogramme Geomatics, elective module, 3rd semester

Form of Instruction

Mathematical Geodesy Lectures Adjustment Lectures

Entry Requirements

Recommended 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: - / -


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: Abbil-

dungsverfahren. 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. • Torge, W. : Geodesy. 3rd Edition. De Gruyter, Berlin. 2001. • Wolf, Paul R.; Ghilani, Charles D.: Adjustment Computations. 3rd Ed, Wiley, ISBN: 0-471-16833-5 Internet / Multimedia • www.dfhbf.de • http://igscb.jpl.nasa.gov/ • www.geozilla.de

Objectives

Mathematical Geodesy • 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 Map-

Projection based on Cauchy-Riemann’s Differential Equation Theory) • Numerical Integration in Problems of Mathematical Geodesy (Classical Coupled Differential



Equations for the Representation of the Geodesic, Solution of the 1st 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 Equations, 1st 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, Ro-bustness 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-Trans-formation, 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 observa-tions 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.



Learning Target

Mathematical Geodesy 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 app-roach to physical observations The chapter on advanced map projection is dealing the general de-rivation 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 equa-tions of Legendre by a variable transformation, the numerical integration is applied to the solution of the 1st geodetic major task. Adjustment The chap. on sequential adjustment procedures is dealing with different procedures for the treat-ment 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 M-Estimation 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 L1-norm. The numerical solution procedures for generalized M-estimation are also treated. The adjust-ment 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





Work)


Mathematical Geodesy

2 24 h 18 h 48h 90h

Adjustment

2 24 h 6 h 60h 90h

Frequency

annual, winter term


Examination: written exams 90 min. each lecture


Modul-No. GMCM201 Page 1 von 3 20.02.2015

Module

Specific Basics

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: english

Courses

Human Geography Navigation Facility Management (FM)


Dr. Freckmann, Dr. Jäger, Dr. Saler


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 navi-gation 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 Requirements based on SPO: Module GI1.1 (for students of Int. Master programme Geomatics only)


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 Guidan-

ce. 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.

Hochschule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien International Master Geomatics (M.Sc.)


Internet / Multimedia: • 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

Objective

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; prin-ciples 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 sen-sors 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-sen-sor 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.

Hochschule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien International Master Geomatics (M.Sc.)


Learning Target

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 im-portant navigations systems (GNSS, INS, celestial, and others). Because of the trend of miniaturi-sation 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 navi-gation 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

Duration: 1 Semester, Total: 180 h (2 of 3 lectures have to be selected)



Human Geography

2 20 h 10 h 60 h 90 h

Navigation

2 24 h 10 h 56 h 90 h

Facility Management

2 8 h 22 h 60 h 90 h

Frequency

annual, summer term



Geography of Economics . Written Exam 90

Navigation - Written Exam 90

Facility Management - Oral Exam 30



Module

GIS-Project and - Management

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: English

Courses

GIS-Project and -Management


Dr. Saler


Geomatik Master Programme, compulsory module, 1. Semester. Geomatics Int. Master Programme, compulsory module, 2. Semester.

Form of Instruction

GIS-Project and -Management 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:


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

GIS-Project and -Management 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

GIS-Project and -Management 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 space-orientated questions using GIS technology.

Learning Time





Work)


Projektmangament und GIS

4 10 h 40 h 130 h 180 h

Frequency

annual, summer term


Examination: GIS Project work documentation and presentation of the final results, Oral exam Pre-Examination: GIS-Project Lab work

Karlsruhe University of Applied Sciences Fakultät für Informationsmanagement und Media International Masterprogramme Geomatics

Module-No. GMCM203 Page 1/2 18.01.2014

Module

Soft skills

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: German/English

Courses

General Studies (Studium Generale) (one lecture with relevance to soft skills) Foreign Language (Fremdsprache) (DaF 5 – for non German speaking students / Business English or Technical English)


Dr. Jäger, Dozenten des IfS


Int. Master program Geomatics, Compulsory module, 2nd semester

Form of Instruction

Lectures Lectures will completed with conversation Independent learning 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 Internet / Multimedia:

- http://www.hs-karlsruhe.de/internationales/ifs.html - http://www.hs-karlsruhe.de/meta-navigation/unternehmen/recruiting/center-of-competence.html

Karlsruhe University of Applied Sciences Fakultät für Informationsmanagement und Media International Masterprogramme Geomatics

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





Work)


DaF or English 4 60 - 60 120 Studium Generale 2 30 30 60

Frequency

Each semester


Examination: See notice of IfS resp. Institut für Management und Kommunikation Pre-Examination: See notice of IfS resp. Institut für Management und Kommunikation

Karlsruhe University of Applied Sciences Faculty of Information Management and Media 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

Level: 4/5

Weight: 1

Language: English

Courses

Satellite Image Analysis Practical Satellite Image Analysis


Dr. Schaab, Dr. Pfeiffer


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 Requirements based on SPO: Module GI1.4 (for students of Int. Master programme Geomatics only)


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.

Karlsruhe University of Applied Sciences Faculty of Information Management and Media 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




(Exercises, Lab Work, Project

Work)


Satellite ImageAnalysis 2 30h - 60h 90h

Practical Satellite Image Analysis

2 - 30h 60h 90h

Frequency

annual, winter term


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

Level: 3

Weight: 1

Language: english

Courses

New capabilities in advanced thematic cartography Visualization of time-dependent statistical data and dynamic processes


Dr. Freckmann, Dr. Schaab, Dr. Günther-Diringer


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. Independent learning Study of literature, learning with notes

Entry Requirements

Knowledge, skills, proficiency Thorough knowledge of cartography, especially thematic cartography Examinations Module GI1.2 (for students of Int. Master programme Geomatics only)


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 Internet / Multimedia:

• http://geoanalytics.net/ica/

Objective

New capabilities in advanced thematic cartography 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 high-quality electronical thematic maps (e.g. based on SVG) as well as interactive thematic maps, applying new map types (e.g. statistical surfaces, prism maps) Visualization of time-dependent statistical data and dynamic processes 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

New capabilities in advanced thematic cartography 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. Visualization of time-dependent statistical data and dynamic processes 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)



(Excersises, Lab Work,

Project Work)


New capabilities in advanced thematic cartography

2 25 h 5 h 30 h 60 h

Visualization of time-dependent statistical data and dynamic processes

2 25 h 5 h 30 h 60 h

Frequency

annual, winter term


Course Pre-Examination Examination New capabilities in advanced thematic cartography

Home work

Written Exam 120 Visualization of time-dependent statistical data and dynamic processes

Home work


Module-No. GMCM3.E3 page ½ 18.01.2015

Module

Spatial Analysis

Semester: 2; 3

Credit Points: 6

Level: 4/5

Weight: 1

Language: English

Courses

Theory of Geostatistics Application of Geostatistical Methods


Dr. Freckmann, Guest Lecturers


International Masterprogramme Geomatics elective, 3. Semester.

Form of Instruction

Theory of Geostatistics 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


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: Internet / Multimedia:

Objective

Theory of Geostatistics 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.



Learning Target

Theory of Geostatistics 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





Work)


Theory of Geostatistics 2 20 h 10 h 60 h 90 h

Application of Methods of Multivariate Statistics

2 5 h 25 h 60 h 90 h

Frequency

annual, winter term



Theory of Geostatistics

-

Home work Application of Methods of Multivariate Statistics

-

Karlsruhe University of Applied Sciences

Faculty of Information Management and Media International Masterprogramme Geomatics


Module

Digital Signal Processing and Numerical Methods

Semester: 3

Credit Points: 6

Level: 4/5

Weight: 1

Language: English

Courses

Digital Signal Processing Numerical Methods


Dr. Dürrschnabel, Dr. Jäger


International Master Geomatics, elective, 3. Semester.

Form of Instruction

Digital Signal Processing and Numerical Methods 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

Recommended requirements: Knowledge in Algebra, Analysis, Programming Exam: none


Literature:

• 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

Objective

Digital Signal Processing 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 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



Learning Target

Digital Signal Processing and Numerical Methods 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





Work)


Digital Signal Proces-

sing

2 15 h 15 h 60 h

90 h

Numerical Methods

2 20 h 10 h 60 h

90 h

Frequency

Annual, winter term

Requirements Awarding

Examination: written exam 120 min. Pre-Examination: none



Module

Physical Geodesy

Semester: 3

Credit Points: 6

Level: 4/5

Weight: 1

Language: english

Courses

Physical Geodesy


Dr. Müller


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 Requirements based on SPO: none


Literature:

• Hofmann-Wellenhof, B: Physical Geodesy. Springer, Wien, 2006. • Torge, Wolfgang: Geodesy, deGruyter, Berlin, 2003. • Torge, Wolfgang: Gravimetry, deGruyter, Berlin, 1989.

Internet / Multimedia

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

Hochschule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien International Masterprogamme Geomatics (M.Sc


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 SWS Lecture Time Supported Learning

Independent Learning total

Physical Geodesy 4 60 h 20 h 100 h 180 h

Frequency

annual, winter term



Physical Geodesy Project work Written examination 120 min

Hochschule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien Internationaler Masterprogramme Geomatics

Modul-Nr. GMCM3.E6 Seite 1/2 18.01.2015

Modul

Ingenieurphotogrammetrie und Ingenieurvermessung

Semester: 3

Kreditpunkte: 6

Niveau: 4/5

Gewicht: 1

Sprache: deutsch

Lehrveranstaltungen

Ingenieurphotogrammetrie 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. Ingenieurphotogrammetrie 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 Teilnahme

Empfohlene Voraussetzungen: Grundlagen der Photogrammetrie Grundlagen der Ingenieurvermessung Gute Kenntnisse in der Ausgleichungsrechnung

Literatur und Medien zur Vorbereitung der Lehr-veranstaltungen

Literatur:

• Luhmann, Thomas (Hrsg.): Nahbereichsphotogrammetrie in der Praxis. Beispiele und Problemlösungen. H. Wichmann Verlag, Heidelberg, 2002

• 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 Internet / Multimedia:

Lehrinhalt

Ingenieurphotogrammetrie 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,

Hochschule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien 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 Insg.

Ing.-Photogrammetrie

2 15 h 15 h 60 h 90

Ing.-Vermessung

2 15 h 15 h 60 h

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

Level: 4/5

Weight: 1

Language: English

Courses

Introduction to OpenSource GIS OpenSource GIS Project


Dr. Vetter, Dr. Schaab, Guest Lecturers


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 Module GI1.2 (for students of Int. Master programme Geomatics only)


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-GIS-Tools. 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





Work)


Introduction to OpenSource GIS 2 15 h 15 h 30 h 60 h

OpenSource GIS project 2 15 h 15 h 90 h 120 h

Frequency

Annual


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

Level: 4/5

Weight: 1

Language: English

Courses

Introduction to Navigation Technologies and Mobile GIS Navigation Technologies and Mobile GIS Developments


Dr. Jäger M.Sc. Andreas Hoscislawski


International Masterprogramme Geomatics, Compulsory module , 3. Semester

Form of Instruction

Introduction to Navigation Technologies and Mobile GIS Navigation Technologies and Mobile GIS Developments 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 - / -


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 standortbe-

zogener 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., Schwäb-le, R. und G. Schweinfurth (2012): Geomatik aktuell 2012. Präzise Navigation und Mobile Geodatenerfas-sung Out- und Indoor. Karlsruher Geowissenschaftliche Schriften Reihe B, Band 7.

Internet / Multimedia: • 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

Introduction to Navigation Technologies and Mobile GIS • 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 technolo-

gies. 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 Geo-referencing 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

Introduction to Navigation Technologies and Mobile GIS 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





Work)

Independent learning Total

Introduction Naviga-tion and Mobile GIS 2 24 h 25 h 26 h 75 h

Navigation Technolo-gies and Mobile GIS Developments

2 24 h 45 h 36 h 105 h

Frequency

annual, winter term


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: 6

Level: 4/5

Weight: 1

Language: English

Courses

Software Engineering Programming


Dr. Bürg, Dr. Dürrschnabel


Master Geomatik, compulsory module 2. Semester International master geomatics, compulsory module, 3. Semester

Form of Instruction

Software Engineering The courses are supplemented by discussion sessions. Programmierung The courses are supplemented by exercises that the students are self-implementing.

Entry Requirements

Recommended 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


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

Software Engineering 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. GMCM303 Page 2/2 18.01.2015

Learning Target

Software Engineering 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





Work)


Software Engineering

2 20 h 10 h 60 h 90 h

Programming

2 20 h 10 h 60 h 90 h

Frequency

annual, winter term



Software Engineering Home work Oral Examination 30 min

Programming



Module

Seminar zur Master Thesis

Semester: 4

Credit Points: 2

Level: 5

Weight: 1

Language: English

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.


Dr. Jäger


Compulsory module for Geomatik Master Programme and Geomatics Int. Master Programme

Form of Instruction

Individual learning

Entry Requirements

Recommended requirements: Deepened knowledge within the range of the topic the master thesis 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


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

Fakultät für Informationsmanagement und Medien International Masterprogramme Geomatics


Module

Master-Thesis

Semester: 3 / 4

Credit Points: 22

Level: 5

Weight: 4

Language: English

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.


Dr. Jäger


Compulsory module for the International Master Programme Geomatics (MSc.)

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

Recommended requirements:

Deepened knowledge within the field of the topic the master Thesis. Examinations:

Successful termination of all modules (max. two modules can be finished after beginning of the thesis) and the seminar to master thesis.


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): Wissenschaftliches 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


The master thesis has to be written in English. 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 stored in addition on a suitable digital data medium. There are 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.

Hochchule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien International Masterprogramme Geomatics


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).

Hochchule Karlsruhe – Technik und Wirtschaft Fakultät für Informationsmanagement und Medien International Masterprogramme Geomatics


Module

Kolloquium zur Master Thesis

Semester: 4

Credit Points: 1

Level: 5

Weight: 1

Language: English

Courses

-


Dr. Jäger


Compulsory module for Geomatik Master Programme and Geomatics Int. Master Programme

Form of Instruction

Independent individual learning

Entry Requirements

Recommended requirements: Scientific working and knowledge over presentation forms 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


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.

Documents

Hochschule Karlsruhe – Technik und Wirtschaft Modul-Nr. … · 2017-02-15 · map symbols, the use of different map types Thematic Cartography Basics of cartography (scale, projection,