karlsruhe university of applied sciences faculty of geomatics …€¦ · basics of cartography...

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

Module-No. GI1.1 page 1/2 12.12.2008

Module

Statistics and Adjustment and Reference Systems and Positioning

Semester: 1

Credit Points: 6

Level: 4

Weight: 1+1

Language: English

Courses

Statistics and Adjustment Reference Systems and Positioning

Module Coordinator(s) Lecturer(s)

Dr. Jäger, Dr. Saler

Assignment to Curriculum

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

Form of Instruction

Statistics and Adjustment and Reference Systems and 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. 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 Kaplan, E. D. and C. J. Hetgarty (2006): Understanding GPS, Principles and Applications. Artech House,

2nd Ed.. Boston, MA. Internet / Multimedia: http://sirs.scg.ulaval.ca/yvanbedard/enseigne/SCG66124/228_geomatica.pdf (Teunissen : Adjustment) www.geozilla.de (Datum Transitions, RTCM 3.0, WTRANS)

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). Introduction into L1 method. For better understanding small task will be solved with a computer algebra system (MAPLE).

http://sirs.scg.ulaval.ca/yvanbedard/enseigne/SCG66124/228_geomatica.pdf


Module-No. GI1.1 page 2/2 12.12.2008

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

Requirements awarding Credit Points

Examination: written exam 90 min. for each lecture Pre-Examination: home work


Module No GI1.2 Page 1/2 31.10.08

Module

Thematic Cartography

Semester: 1

Credit Points: 6

Level: 4

Weight: 1+1

Language: english

Courses

Thematic Cartography GIS-Programming


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


Geomatics Int. Master Programme, 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 formulars 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 CartographyBasics 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,


Module No GI1.2 Page 2/2 31.10.08

expressions, statements, loops, classes, instances and inheritance.

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)


Total

Basics in thematic cartography

2 20 10 60 90

GIS-Programming

2 15 15 60 90

Frequency

annual, winter term


Examination:.written examination 60 min. for Thematic Cartography and home work for GIS-Programming Pre-Examination: Home work for Thematic Cartography


Module-No. GI1.3 page 1/2 12.12.2008

Module

GIS and Databases

Semester: 1

Credit Points: 6

Level: 4

Weight: 1

Language: English

Courses

GIS Data models and databases


Dr. Saler, Dr. Freckmann, Dr. Schaab,



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


Literatur Databases: THOSMAS BRINKHOFF: Geodatenbanksysteme in Theorie und Praxis. Wichmann, ISBN 3-87907-344-X PHILIPPE RIGAUX, MICHEL SCHOLL, AGNÈS VOISARD: Spatial Databases with Application to GIS. Morgan

Kaufmann, ISBN 1-55860-588-6 R. MATA-TOLEDO, P. CUSHMAN: Fundamentals of Relational Databases, Schaum´s Outline, McGraw-Hill M. LEVENNE, G. LOIZOU: A Guided Tour of Relational Database and Beyond, Springer Literatur 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 HUXHOLD, W. E.: An Introduction to Urban Geographic Information Systems. Oxford 1999 (rausnehmen?) KRAAK, M.-J. AND A. BROWN: Web Cartography. London 2001 (rausnehmen?) 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: www.geoinformation.net www.geocomm.com www.gis.com

Objective

GIS


Module-No. GI1.3 page 2/2 12.12.2008

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-datea, relational and objekt-relational data bases, SQL, exercises with MS-ACCESS

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, 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.

Learning Time





Work)


Total

GIS 3 20h 25h 65h 110h Data models and databases

2 24h 6h 40h 70h

Frequency

annual, winter term


Examination: written exam 120 min. for both lectures Pre-Examination: oral exam in the lab


Module-No. GI1.4 page 1/2 05.12.08

Module

Photogrammetry and Remote Sensing

Semester: 1

Credit Points: 6

Level: 4

Weight: 1

Language: English

Courses

Photogrammetry Remote Sensing


Dr. Hell, 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 o http://www.i4.auc.dk/jh/cal.htm

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. GI1.4 page 2/2 05.12.08

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)


Total

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 Pre-Examination: Home work


Module-No. G1.5 page 1/2 03.11.2008

Module

Foreign Language

Semester: 1

Credit Points: 6

Level: 4/5

Weight: 1

Language: English/German

Courses

Deutsch als Fremdsprache (DaF 3 und DaF 4, for non German speaking students, 8 SWS ) Englisch für Fortgeschrittene 2 and Business English or Technical English (or another language for preparing studies abroad, 8 SWS)


Dr. Saler, Dozenten des IfS



Form of Instruction

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

Entry Requirements

Recommended Requirements: Knowledge in level of DaF2 resp. Englisch für Fortgeschrittene 1 Deutsch als Fremdsprache - schedule: DaF 1: required before arriving in Karsluhe DaF 2: intensive course in Sept. at HSKA / Institut für Fremdsprachen (IfS) DaF 3: winter semester course at IfS DaF 4: intensive course in March at IfS [Niveau A2] DaF 5: summer semester DaF 6: intensive course in Sept, recommended [Niveau B1] Englisch - schedule: EfF1: required EfF2: language course at IfS (vor Vorlesungsbeginn) [Niveau B2] TE/BE: language course at IfS (1st semester) BE/TE: language course (2nd semester) [Niveau C1] Examinations: Students’ level of proficiency will tested by means of a placement test (Einstufungstest) organised by the Institut für Fremdsprachen during the first week of the semester or completion of the preceding course.


Literature: see Institut für Fremdsprachen (IfS) Internet / Multimedia:

exercises on IFS website: http://www.hs-karlsruhe.de/ifs/html/IFS/ifs.html

Objective

-


Module-No. G1.5 page 2/2 03.11.2008

Learning Target

Deutsch: Deutsch als Fremdsprache 3/4 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..

Learning Time





Work)


Total

DaF or English, 2 courses each

8 120 h - 60 h 180 h

Frequency

Each semester (English) resp. 4 times a year (DaF)


Examination:. See notice of IfS Pre-Examination: See notice of IfS

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

Module-No. G1.1, GI2.1page 1/3 05.02.2010

Module

Specific Basics

Semester: 1 resp.. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: english

Courses (2 of 3 lectures have to be selected)

Geography of Economics Navigation Facility Management (FM)


Dr. Freckmann, Dr. Jäger, Dr. Saler


Master program Geomatik, Compulsory module, 1st semester Int. Master program Geomatics, Compulsory module, 2nd semester

Form of Instruction

Geography of Economics Lecture is supplemented by 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

Recommended requirements: Geography of Economics: Descriptive Statistics Navigation: none Facility Management: Databases, CAD, GIS Examinations: 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, Oesterle E, Haller P (1999) Facility Management. Springer Verlag, Berlin. Nävy, J. (1998): Facility Management. Springer Verlag, Berlin. 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 http://www.tecepe.com.nr/nav/sextantflash.html http://www.ballaerospace.com/

http://www.bbr.bund.de/

http://www.celestial.navigation.net/

http://www.tecepe.com.nr/nav/sextantflash.html

http://www.ballaerospace.com/



www.mycafm.de

Objective

Geography of Economics Selected sections of Economic Geography like for example industrial location models, central places and sevices. The relationship between these sections will be taught on the basis of regional examples and of the changing global context.

Navigation

Mathematical Fundamentals and Principles of Navigation (Reference frames, coordinate systems and transformations. Earth-centred inertial (ECI), earth-centred earth-fixed (ECEF), local astrono-mical vertical (LAV), local geodetic vertical (LGV), body, platform and IMU frame).

Principles of position determination. Dead reckoning (DR), positioning fixing, modes of position de-termination. Principles and mathematics of velocitiy and course representation. Principles of attitu-de representation and determination. Determination of attitude rotation angles by inclinemeters and compasses. Determination of attitude rotation angles by GNSS/GPS sensors. Example for a hybrid system.

Celestial Navigation. Astronomical Basics. Observation Equations and classical astro-geodetic po-sitioning in the LAV system. Star tracker navigation systems. Basic equations and principle, closed solution for positioning and attitude determination. Use of additional INS-sensors. GNSS naviga-tion, precise and non-precise methods. GNSS Navigation, principles and concepts.

GNSS-Navigation. Satellite orbit representations. Observations and methods in GNSS-navigation. Doppler measurements in GNSS-navigation. GNSS-Navigation with code- and phase-measure-ments. Additional parametric models and estimation procedures. NMEA position output and RTCM and RTCA correction data. Space/satellite based augmentation systems (SBAS). Ground based GNSS related systems

Precise Navigation, sensors, principles and mathematical models. Inertial navigation system (INS) types. Gyroscopes - sensor types. Acceleration sensors types. Inertial Navigation, mathematical modelling. Gyro-sensor types(rotation wheel gyros., optical gyros type. Accelerometers – MEMS. Piezoeletric effect. MEMS accelerometers (resonant MEMS accelerometers, capacitive accelero-meters, navigation equations in different frames). Algorithms and numerical methods for strap-down INS. Integration of navigation equations. Loosely coupling, example. Tightly coupling, ex-ample of INS and GPS. Deep coupling of INS and GNSS and other sensors. Facility Management Definition and goals of FM, data models for CAFM, data acquisition and CAFM visualization, realization of a CFAM project with independent data modelling

http://www.mycafm.de/



Learning Target

Geography of Economics The aim of the course is to give students fundamental knowledge in selected sections of Geography of Economics 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 CAFM and realize it in a data base. 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)




Work)


Total

Geography of Economics

2 20 h 10 h 60 h 90 h

Navigation 2 24 h 6 h 60h 90 h Facility Management 2 5 h 25 h 60 h 90 h

Frequency

annual, summer term

Requirements Awarding Credit Points

Examination: written exam 90 min. each (Geography of Economics or Navigation) or 30 min. oral exam (Facility Management), Pre-Examination: none

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

Module-No. G1.2, GI2.2page 1/2

05.02.2010

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. Schweinfurth


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


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 Schifman, 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. G1.2, GI2.2page 2/2

05.02.2010

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 analyse 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)


Total

Projektmangament und GIS

4 10 h 20 h 150 h 180 h

Frequency

annual, summer term


Examination: Project (Home work) including documentation and presentation of intermediate results Pre-Examination: none For German students of the International Master Programme Geomatics it is compulsory to write the documentation in English. In addition the project work, which is carried out by the german students of the Master Programme Geomatics, has to be international oriented (e.g. use of geo date from foreign countries, topic related cooperation with foreign partner universities, companies or other institutions).



Module

Soft skills

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: German/English

Courses

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


Dr. Saler, Dozenten des IfS


Master program Geomatik, Compulsory module, 1st semester 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

Master programme Geomatik

For int. Students a certificate in German is required before enrollment

Englisch - schedule: EfF2: required BE/TE: language course [C1 CEF]

Int. Master programme Geomatics Examaminations: Module GI1.5 (DaF 3+4 / Englisch für Fortgeschrittene 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: see Institut für Fremdsprachen (IfS), Institut für Management und Kommunikation (Studium Generale) Internet / Multimedia:

exercises on IFS website: http://www.hs-karlsruhe.de/ifs/html/IFS/ifs.html



Objective

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 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)


Total

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

http://www.dict.cc/englisch-deutsch/interdisciplinary.html


Module-No. GE1.1, GIE2.1 page 1/2 05.02.2010

Module

Location Based Services (Elective)

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, Guest Lecturers


Geomatik Master Programme, elective, 1. Semester. Geomatics Int. Master Programme, elective, 2. Semester.

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. Exercides and Project work in the lab.

Entry Requirements

Recommendations: Fundamental knowledge in Geographic Information Systems theory and methods in visualisation, navigation and web mapping. Requirements based on SPO: Modul GI1.1 (for students of Int. Master programme Geomatics only) Modul GI1.2 (for students of Int. Master programme Geomatics only) Modul GI1.3 (for students of Int. Master programme Geomatics only)


Literature: 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

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

Journals: Geoconnexion Geoinformatics Internet / Multimedia: http://www.mobilist.de

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).



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





Work)


Total

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


Examination: written exam 120 min. Pre-Examination: home work



Module

Multivariate Statistics

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: english

Courses

Theory of Multivariate Statistics Application of Methods of Multivariate Statistics





Form of Instruction

Theory of Multivariate Statistics Lectures will be completed with exercises based on learning materials. Application of Methods of Multivariate Statistics Application of multivariate statistical methods with computer programmes (SAS, SPSS).

Entry Requirements

Recommendations: Fundamental knowledge in Elementary Statistics Requirements based on SPO: Modul GI1.1(for students of Int. Master programme Geomatics only)


Literatur:

Bahrenberg, G., E. Giese, J. Nipper: Statistische Methoden in der Geographie 1 und 2, Stuttgart 1990

Burt, J. E. u. G. M. Barber, Elementary Statistics for Geographers, New York 1996 Marinell, G., Multivariate Verfahren, München 1990 Sachs, L., Angewandte Statistik, Heidelberg 1999 Sachs, L., Statistische Methoden, Heidelberg 1979 Schönwiese, Ch.-D., Praktische Statistik für Meteorologen und Geowissenschaftler, Berlin 2000 Steinhausen, D. u. K. Langer, Clusteranalyse, Berlin 1977 Wackernagel, Hans: Multivariate Geostatistics, Springer, Berlin (2003)

Journals: Internet / Multimedia:

Objective

Theory of Multivariate Statistics Introduction into the methods of Maultivariate Statistics: multivariate Regression and correlation analysis, factor analysis, dicrimminant analysis, cluster analysis. Application of Methods of Multivariate Statistics Procedure of statistical analysis with suitable software systems like SAS, SPSS or comparable products.



Learning Target

Theory of Multivariate Statistics Students should understand the theory of Multivariate Statistics and they should be able to solve statistical problems with the related methods. In addition students get the competence to interpret the results of an analysis in the right way und to draw a conclusion. Application of Methods of Multivariate Statistics Students get knowledge to use well known software packages to analyse statistical data. They have the ability to get benefit from numerical methods, if exact methods can not be used. They have also the ability to prepare data related to the statistical methods which will be used for the analysis, to apply the statistical methods with software packages, to present the results in a group and to discuss them in a competent way.

Learning Time





Work)


Total

Theory of Multivariate Statistics

2 15 h 15 h 60 h 90 h

Application of Methods of Multivariate Statistics

2 20 h 10 h 60 h 90 h

Frequency

annual, summer term


Examination: written exam 90 min. Pre-Examination: Home work


Module-No GE1.3, GIE2.3 page 1/3

05.02.2010

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



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.



05.02.2010

Journals:

Inside GNSS, www.insidegnss.com GPS Solutions, Springer. Journal of Geodesy, Springer. Internet / Multimedia: www.goca.info http://www.gnsssolutions.com www.leica-geosystems.com/corporate/de/ndef/lgs_4802.htm http://www.ngs.noaa.gov/ www.gfz-potsdam.de www.aiub.unibe.ch http://igscb.jpl.nasa.gov/ http://ivscc.gsfc.nasa.gov/

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, modeling 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; deodynamical modelling and reduetions. 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.

http://www.insidegnss.com/

http://www.goca.info/

http://www.gnsssolutions.com/

http://www.leica-geosystems.com/corporate/de/ndef/lgs_4802.htm

http://www.ngs.noaa.gov/

http://www.gfz-potsdam.de/

http://www.aiub.unibe.ch/

http://igscb.jpl.nasa.gov/

http://ivscc.gsfc.nasa.gov/



05.02.2010

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)


Total

Satellite Geodesy

3 24 h 18 h 48 h 90 h

Geodetic Monitoring

3 24 h 18 h 48 h 90 h

Frequency

annual, summer term


Examination: written exam 90 min. for each lecture Pre-Examination: home work



Module

Digital Signal Processing and Numerical Methods

Semester: 1; 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: german

Courses

Digital Signal Processing Numerical Methods


Dr. Dürrschnabel, Dr. Schwäble



Form of Instruction

Digital Signal Processing and Numerical Methods Lecture: Lecture is supplemented by discussions on basis of lecture notes. Independent learning: Study of literature, learning through lecture notes

Entry Requirements

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


Literature:

Bärwolff, G.: Numerik für Ingenieure, Physiker und Informatiker, Spektrum Diniz, P.S.R. et al.: Digital Signal Processing. Cambridge University Press, Cambridge 2002. Herrmann, N.: Höhere Mathematik für Ingenieure, Physiker und Mathematiker, Oldenbourg Kammeyer/Kroschel: Digitale Signalverarbeitung. Teubner Verlag, Stuttgart 1998. Kiencke/Jäckel: Signale und Systeme. Oldenbourg Verlag, München Wien 2002. Schwarz/Klöckler: Numerische Mathematik, Vieweg+Teubner Stoer/Bulirsch: Numerische Mathematik 1 und 2, Springer Werner, M.: Digitale Signalverarbeitung mit MATLAB. Vieweg Verlag, Braunschweig 2003.

Objective

Digital Signal Processing Discrete signals and systems, z-transform, discrete Fourier transform, differential equations, transfer function, stability criteria, recursive and nonrecursive filters, twodimensional filters, time series, spectral analysis of random and deterministic signals Numerical Methods Interpolation, Splines, FFT, Lösen von Gleichungen mit Iterationsverfahren, Relaxation, Matrix-Norm, Konditionierung, Matrixzerlegungen, numerische Methoden zur Lösung von linearen Gleichungssystemen, Eigenwertprobleme, Tridiagonalisierung, Lineare Optimierung, Simplex-Algorithmus.



Learning Target

Digital Signal Processing and Numerical Methods After having successfully completed the course, the students should - know how to analyse and to rate digital signals relating to their quality; - be able to apply essential procedures of digital signal processing; - be able to use appropriate numerical methods, if exact methods are impossiple or complicated.

Learning Time





Work)


Total

Dig. Signal Proc.

2 15 h 15 h 60 h

90 h

Num. Methods

2 20 h 10 h 60 h

90 h

Frequency

annual, summer term


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

Karlsruhe University of Applied Sciences Faculty of Geomatics Geomatik Master Programm (od. Engl.: Geomatics Master Programme Geomatics Int. Master Programme

Module-No. G2.1, GI3.1Page 1/2 05.02.2010

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


Master Geomatik, compulsory module 2nd Semester International Master Geomatics, compulsory 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.

http://www.amazon.de/exec/obidos/ASIN/3879072388/qid=1146238688/sr=8-6/ref=sr_8_xs_ap_i6_xgl/303-2234690-7881825

http://www.amazon.de/exec/obidos/ASIN/3879072388/qid=1146238688/sr=8-6/ref=sr_8_xs_ap_i6_xgl/303-2234690-7881825

Karlsruhe University of Applied Sciences Faculty of Geomatics Geomatik Master Programm (od. Engl.: Geomatics Master Programme Geomatics Int. Master Programme


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)


Total

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-No. G2.2, G3.2 Page 1/2 12.01.2009

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:


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 J. Goll, C. Weiß, F. Müller: Java als erste Programmiersprache, Vieweg+Teubner Verlag Skriptum Java – Graphik 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. G2.2, G3.2 Page 2/2 12.01.2009

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)


Total

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


Examination: Oral Examination 30 min. Pre-Examination: Home work



Module

Visualisation of Spatial Information on the Internet

Semester: 2 resp. 3

Credit Points: 6

Level: 4/5

Weight: 1

Language: english

Courses

Script Languages Advanced Visualisation





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, programming language C++ or Java. Requirements based on SPO: Modul GI1.2 (for students of Int. Master programme Geomatics only) Modul GI1.3 (for students of Int. Master programme Geomatics only)


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

Journals: Geoconnexion Geoinformatics Internet / Multimedia: http://kartoweb.itc.nl/webcartography/ http://www.nationalatlas.com http://www.atlas.gc.ca http://www.karto.ethz.ch/atlas/ http://www.w3c.org http://www.webreference.com/programming/javascript/

http://www.wdvl.com/Authoring/JavaScript/Tutorial/ 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

http://kartoweb.itc.nl/webcartography/

http://www.nationalatlas.com/

http://www.atlas.gc.ca/

http://www.karto.ethz.ch/atlas/

http://www.w3c.org/

http://www.wdvl.com/Authoring/JavaScript/Tutorial/



(e.g. html, java script, perl, php), database binding, aims and capabilities of XML, CSS and XSL. Advanced Visualisation Factors influencing web design, design of complex point, line and area symbols for web maps, the use of colour in web maps, type fonts and name placement on web maps, legibility, the role of transparency and shading for web maps, map abstraction, legends, human-computer interaction, LBS, design for small displays (e.g. PDA).

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 On web maps, the symbols used for points, lines and areas differ from the use of these symbols on paper maps. Students will learn how to design complex symbols 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





Work)


Total

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


Examination: written exam 120 min. Pre-Examination: Home work


Module Code GE2.2, GIE3.2 Page 1/2 05.02.2010

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



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)


Literature: Cartwright, W., M.P. Peterson & G. Gartner (eds.), Multimedia cartography. Berlin/Heidelberg

1999 (incl. CD-ROM) Kraak, M.-J. & A. Brown, Web cartography. Developments and prospects. London 2001 Kraak, M.-J. & F. Ormeling, Cartography: Visualization of geospatial data. Harlow 2003. 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. and other specific papers

Articles: Geoconnexion Geoinformatics

Objective

New capabilities in advanced thematic cartography Software tools available in thematic cartography, modelling of multi-variate thematic map data, 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


Module Code GE2.2, GIE3.2 Page 2/2 05.02.2010

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)


Total

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


Examination: written exam 120 min Pre-Examination: Home work



Module

Spatial Analysis

Semester: 2; 3

Credit Points: 6

Level: 4/5

Weight: 1

Language: english

Courses

Theory of Geostatistics Application of Geostatistical Methods





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:

http://geovariances.fr

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)


Total

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


Examination: Home work Pre-Examination: none



Module

Physical Geodesy

Semester: 2 / 3

Credit Points: 6

Level: 4/5

Weight: 1

Language: german

Courses

Physical Geodesy Methods of Gravimetry


Dr. Müller, guest lecturers


Master Geomatik, compulsory module 2. Semester International Master Geomatics, compulsory module, 3. Semester

Form of Instruction

Physical Geodesy and Methods of Gravimetry Lectures Lectures combined with oral presentations. Project work Extensive individual elaborations and computations referring to the topics of the lectures. Supervised practical measurements. Written elaborations and short oral presentations on the projects. Individual learning Reading literature and working with the tuition materials.

Entry Requirements

Recommendations: Knowledge of mathematics, physics, mathematical geodesy and satellite geodesy. Requirements based on SPO: none


Literature Torge, Wolfgang: Geodäsie, deGruyter, Berlin. Torge, Wolfgang: Gravimetry, deGruyter, Berlin

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

Methods of Gravimetry:

Absolute and relative gravimetry application of relative gravimeters time variations of the gravity field gradiometry

Learning Target

Physical Geodesy and Methods of Gravimetry 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





Work)


Total

Physical Geodesy

3 45 0 90 135

Methods of Gravimetry

1 10 5 30 45

Frequency

annual, winter term


Examination:.written examination120 min Pre-Examination: Home work



Module

Mathematical Geodesy and Adjustment

Semester: 2 resp. 3

Credit Points: 6

Level: 5

Weight: 1+1

Language: english

Courses

Mathematical Geodesy Adjustment


Dr. Jäger, Dr. Saler


Master Programme Geomatik, Compulsory module, 2nd semester Int. Master Programme Geomatics, Compulsory module, 3rd semester

Form of Instruction

Mathematical Geodesy and Adjustment Lectures: Lecture is supplemented by discussions in small groups Independent learning: Literature study and rework of the lectures and continuation of exercises with the help of the teaching materials and work with software offered. Development of own software as home work in the lecture mathematical geodesy.

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 square method and Gauss-Markov model. Examinations: Module GI1.4 (for students of Int. Master programme Geomatics only)


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 www.geozilla.de

Objective

Mathematical Geodesy Classical and modern reference systems. gravitation field, reference gravity field and derived

parameters. Height systems and methods for the computation of height reference surfaces (geo¬id, quasi-

geoid) and transitions. Transition from ellipsoidal to physical heights. Exercises: Computation of height reference surfaces and GNSS height integrations under the

http://dict.leo.org/ende?lp=ende&p=thMx..&search=gravitation

http://dict.leo.org/ende?lp=ende&p=thMx..&search=field

http://dict.leo.org/ende?lp=ende&p=thMx..&search=gravity

http://dict.leo.org/ende?lp=ende&p=thMx..&search=field

http://dict.leo.org/ende?lp=ende&p=thMx..&search=derived



application of DFHBF and other software.

• Local geo¬detic (LGV) and local astronomical (LAV) system and reduction of deflection of the vertical

• Datum transformation and methods. Treatment of the weak form problem. Methods of the residual interpolation. Exercises: Computations with WTRANS and COPAG software.

• Curvilinear ellipsoidische coordinates and geodetic major tasks. Exercises: computations with WTRANS

• Ellipsoidal map projection, distortions and reductions. Exercises: Computations Specification and development of C++ - software for problems of the mathematical geodesy.

Adjustment Methods geodetic network adjustment with datum definition and S - transformation Gauss-Helmert model with differently examples from the engineering geodesy Introduction to the deformation analysis Statistic test methods (Model tests, test of observations and control points, significance of

parameters) Robust adjustment methods



Learning Target

Mathematical Geodesy Introductionary the student learn about the modern and the classical definitions, parametrizations and realisations of global reference frames and the related links between geometry (ECEF/ITRF, ECIF) and gravity field space (earth gravity-field, reference gravity-field, height reference surfaces). Global space and ellipsoidal coordinate systems, height reference surfaces, and local topocentric coordinate systems (LGV, LAV) and related computation methods are treated. So the student is able to work in the set up and maintaining of modern ITRF-related reference frames (e.g. ETRF89) and the related topics of geo-referencing e.g. in related GNSS-services. Based on the above parts the analytical and computational methods of mutual transitions of 3D, as well as of plane and height reference frames are treated. In addition the reduction of terrestrial measurements to the ellipsoidal reference in geometry and gravity field space are derived and the relation to the 3D integrated geodesy adjustment approaches are given These reductions are much more complex and significant in the modern ITRF-relation than in the classical systems. So the student is able work in a leading position concerning the world-wide processes of a transformation of the classical frames to the ITRF, the set up of modern height-systems, the realization of an infrastructure for the acquisition, further evaluation and reduction of measurements and the maintaining of the new frames, and the development of respective software-systems. By the derivation of the analytical background of interpolation concepts (collocation, multi-quadratic interpolation, residual interpolation) the student is further able to work in many geomatic fields, where transformations and related interpolated methods, algorithms and software developments are questioned. Following the theory of curves on 3D surfaces, and the solution of the geodetic major tasks on the ellipsoids surface by numerical integration, the differential geometry of the ellipsoid is deepened using the Gauß fundamental quantities of 1st and 2nd order. The classical map projection is accom-plished with respect to the ellipsoid as reference surface for modern applications (e.g. GNSS-positioning, geo-referencing in data-bases and navigation). The different map projection types are derived, partly using requirements related to different distortion quantities and for conformal projec-tions (Mercator, Lambert, Gauß-Krüger, UTM, etc.). based on the differential equation theory of Cauchy-Riemann. The projection related reduction of distances, directions and surfaces is derived and treated. All these topics are relevant in GIS, modern cartography, geo-data and geo-informa-tion management and in navigation, and another relevant contribution from mathematical geodesy. The theoretical parts are deepened with respect to exercises using standard-software and by the development of own C++-software. So the student acquires in addition knowledge and competen-ces in the domain of the design and development of software for applications related to mathemati-cal geodesy. Adjustment The most important target is the understanding of the of the least squares method and the robust n methods in the Gauss Markov. In addition the understanding and the knowledge of the application of the hierarchical, dynamic and free network ajustment. All usual parameter tests are understood. The students are able to transfer the different adjustment methods on other over-determined problems in the engineering geodesy.

Learning Time





Work)


Total

Mathematiical Geodesy

2 24 h 6 h 60h 90h

Adjustment

2 24 h 6 h 60h 90h

Frequency

annual, winter term


Examination: written exams 90 min. each lecture Pre-Examination: Home work


Module-No. GE2.6, GIE3.6 page 1/2

05.01.2009

Module

Engineering Photogrammetry and Engineering Surveying

Semester: 1 resp. 2

Credit Points: 6

Level: 4/5

Weight: 1

Language: german

Courses

Engineering Photogrammetry Engineering Surveying


Dr. Hell, Dr. Pfeiffer, Dr. Schwäble



Form of Instruction

Engineering Photogrammetry and Engineering Surveying Lecture: Lecture is supplemented by discussions on basis of lecture notes and exercises. Independent learning: Study of literature, learning through lecture notes Engineering Photogrammetry Project work: High precision point- and surface determination with digital photogrammetry Engineering Surveying Project work: Planning, Carrying out and analysis of a GPS based deformation measurement

Entry Requirements

Recommended Requirements: Basics in Photogrammetry Basics in Engineering Surveying Knowledge in Adjustment Voraussetzungen nach SPO: Module GI1.1 (for students of Int. Master programme Geomatics only) Module GI1.4 (for students of Int. Master programme Geomatics only)


Literature:

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

Articles:

Photogrammetrie Fernerkundung Geoinformation (PFG), Organ der DGPF, E. Schweizerbart’sche Verlagsbuchhandlung Stuttgart, diverse Artikel

Objective

Engineering Photogrammetry Planing of a terrestrical image taking of a three-dimensional industrial object, geodetical control point measurement, carry out of image taking with digital cameras, camera calibration and image evaluation with photogrammetric close range software packages. Interpretation of results and


Module-No. GE2.6, GIE3.6 page 2/2

05.01.2009

quality assessment. Engineering Surveying Measuring methods relating to structure monitoring, principle of sensors used on deformation measurement, causality of deformation processes, design for deformation measurements, algorithms for estimating of deformations.

Learning Target

Engineering Photogrammetry After having successfully completed the course, the students should know how to plan, to carry out and to analyse digital photogrammetric image taking and evaluation for high precision measurement applications. Engineering Surveying After having successfully completed the course, the students should know how to plan, to carry out and to analyse deformation measurement.

Learning Time





Work)


Total

Engineering Photogrammetry

2 15 h 15 h 60 h

90

Engineering Surveying

2 15 h 15 h 60 h

90

Frequency

annual, winter term


Examination: written exam 90 min. and home works Pre-Examination: none

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


Module

Seminar zur Master Thesis

Semester: 3 resp. 4

Credit Points: 6

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. Freckmann


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: 1 month, total: 180 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.


Module-No. G3.2, GI4.2 page 1/1 05.02.2010

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. Freckmann



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): Wissenschaftlich Arbeiten. Haupt Verlag, Stuttgart

Objective

-

Learning Target

The student is to show with the master thesis that it is able to work on a suitable topic independently. Purpose of the thesis is to develop a research topic, convert it methodically, analyzing critically and evaluate the results. Social, technological and aesthetic criteria are to be considered. The work is to make a contribution for knowledge extension related to the topic. The topic is selected from the research surrounding field of the faculty and constituted by suitable supervisors. The definition and the delimitation of the topic are primarily task of the student and he thereby is individually supervised.

Learning Time

Duration: 4 months, total: 660 h

Frequency

anytime


The master thesis should have 15,000 to 20,000 words (without appendix) and can be written in German or English. An abstract with 1.000 words in German resp. English is to be delivered with the thesis. The text can contain the following supporting parts: Graphics, photo, multimedia components, qualitative and quantitative data, 3D models or prototypes, Web contents. 3D of models and Multimedia components must be present on suitable media. The whole material must be put down on a suitable digital data medium. There is three copies of the master thesis to deliver inclusive all digital storage media (one copy for the first supervisor, one for the second supervisor and one for the faculty). The supervisors evaluate the master Thesis.


Module-No. GI4.2, G3.2page 2/2 05.02.2010

For German students of the International Master Programme Geomatics it is compulsory to write the Master Thesis in English. In addition the Master Thesis, which is carried out by the german students of the Master Programme Geomatics, has to be international oriented (e.g. use of geo date from foreign countries, topic related cooperation with foreign partner universities, companies or other institutions).



Module

Kolloquium zur Master Thesis

Semester: 3 / 4

Credit Points: 6

Level: 5

Weight: 1

Language: English

Courses

-


Dr. Freckmann



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.

karlsruhe university of applied sciences faculty of geomatics …€¦ · basics of cartography...

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