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GN 1410 Mathematics 1

Lecturer: Prof. Dr. Dürrschnabel

Type of course unit: Compulsory

Level of course unit: First-cycle

Year of study:

Semester when the course is delivered:

First

First / winter semester

ECTS credits: 7 ECTS

Prerequisites: Basic mathematical knowledge at higher secondary school level

Language of instruction: German

Courses: Analysis 1 Linear Algebra 1

Teaching method / learn-ing activities:

Mode of delivery:

Lecture + tutorial (max. 15 students ) Lecture + tutorial (max. 15 students )

Face-to-face

Attendance:

Workload:

3 hours/week 3 hours/week

45 contact hours, 30 hours of independent study, 30 hours of guided study 45 contact hours, 30 hours of independent study, 30 hours of guided study

Assessment methods and criteria:

Written exam (120 min) Assignments, online tests

Recommended optional programme components:

Student can choose courses from the General Studies’ pro-gram

Course content: Analysis 1: basics, functions, elementary functions, limits,

differential calculus, applications of differential calculus Linear Algebra 1: logics, basic algebraic structures, affine and

Euklidian vector geometry, linear equation systems, matrix calculation, determinants

Learning outcomes: After having successfully completed the course, the students should Analysis 1:

be able to use elementray functions of a variable know the methods of differential calculus, including for

complex functions. Linear Algebra 1:

be able to work with vector geometry in the plane and in the space,

be able to describe linear problems with the help of matrix calculation and be able to solve these prob-lems,

know the advantage of using a computer algebra sys-tem.



Work placements: n/a

Recommended reading: T. Arens, F. Hettlich et. al: Mathematik, Springer Spektrum, 2011 G. Bärwolff. Höhere Mathematik für Naturwissenschaftler und Ingenieure; Springer Spektrum, 2008 K. Dürrschnabel: Mathematik für Ingenieure; Springer Vie-weg, 2012 S. Goebbels, S. Ritter: Mathematik verstehen und anwen-den; Springer Spektrum, 2013 A. Fetzer, H. Fränkel: Mathematik 1; Springer, 2012 L. Papula: Mathematik für Ingenieure und Naturwissen-schaftler; vol. 1 and vol. 2; Springer Vieweg, 2014 and 2012 T. Rießinger: Mathematik für Ingenieure; Springer, 2013 J. Stewart: Calculus; Thomson Publishing, 2011 T. Westermann: Mathematik für Ingenieure; Springer, 2011 Internet / Multimedia: material and online tests can be found on the HsKA ILIAS server



GN 1420 Computer Science

Lecturer: Prof. Dr. Bürg, Prof. Dr. Dürrschnabel



Year of study:


First



Prerequisites: Recommended: basic knowledge how to operate and use a computer


Courses: Basics of Computer Science

Algorithms and Data Structures

Data Communication


Mode of delivery:

Lectures

Face-to-face

Attendance:

Workload:

2 hours/week 2 hours/week 1 hour/week

30 contact hours, 30 hours of independent study 30 contact hours, 30 hours of independent study 15 contact hours, 15 hours of independent study


Written exam (90 min)



Course content: Basics of Computer Science: This lecture provides theoretical

basic knowledge in computer science: historical develop-ment, construction and functionality of computers, operat-ing systems, Boolean algebra, circuits, representation of data in the computer, encryption, information exchange between person and computer, design of computer lan-guages, software engineering

Algorithms and Data Structures 1: This course provides de-tailed knowledge in dealing with algorithms and data struc-tures. The teaching contents are: Formulation of algo-rithms, abstract data types, object orientation, concrete data structures (stacks, queues, linear lists, trees, hash structures, graphs), fundamental development methods, performance of algorithms, estimate calculation, analysis of algorithms from the fields of sorting, searching and op-timizing.

Data Communication: This lecture provides knowledge on the



design and the functionality of computer networks. The contents are: Network topologies, communication technol-ogies, configuration of networks, net protocols, layer mod-els, Internet standards, Internet protocols.

Learning outcomes: After having successfully completed the course, the students should Basics of Computer Science:

know the approach of the von-Neumann computer and its theoretical basis.

Algorithms and Data Structures 1: be able to develop easy algorithms and optimize them

with regard to their efficiency Data Communication:

understand computer networks be able to build up easy networks themselves


Recommended reading: H. Ernst: Grundkurs Informatik, Springer Vieweg, 2015 H. Gumm / M. Sommer: Einführung in die Informatik, Olden-

bourg, 2012 H. Herold, B. Lurz, J. Wohlrab: Grundlagen der Informatik;

Pearson, 2012 U. Rembold / P. Levi: Einführung in die Informatik für Natur-

wissenschaftler und Ingenieure; Hanser, 2002 B. Breutmann: Data and Algorithms – An Introductory

Course; Fachbuchverlag Leipzig, 2001 Th. Cormen / Ch. Leiserson / R. Rivest / C. Stein: Algorith-

men – Eine Einführung; Oldenbourg, 2013 Lecture notes on data communication will be available



GN 1430 Surveying 1

Lecturers: Prof. Dr. Klein



Year of study:


First


ECTS credits: 7 cp

Prerequisites: None


Courses: Surveying 1


Mode of delivery:

Lecture Exercise (group of 2 to 5 persons)

Face-to-face

Attendance:

Workload:


60 contact hours, 120 hours of independent study, 30 hours of guided study (e.g. exercises, projects, lab work)


Written exam (150 min) Assignments



Course contents: Basics of surveying: reference areas, coordinate sys-tems, reference point fields of land surveying, dis-tance and angular measurement

Basic skills in the simple determination of situation and height: different procedures of data acquisition, marking our of building projects, calculation and divi-sion of areas

Calculation of standard deviations, assessment of un-certainties, error propagation

Setting out of straight lines and right angles, meas-urement of distances, measurement of horizontal and vertical angles, survey (orthogonal, baseline, polar methods), stakeout of floor plan (orthogonal and polor methods), making a survey string line

Learning outcomes: After having successfully completed the course, the students should

be familiar with the basics of surveying be able to independently plan and organize simple

measuring tasks and evaluate the results be able to use basic surveying equipments, know measurement methods, be familiar with the

cause and effect of mesurement uncertainties, have



gained the competence to evaluate and analyze sur-vey documents, have social skills, be capable of or-ganizing their work and time, know technical terms through the documentation, evaluation and further processing of their measurement data and results in exercises.


Recommended reading: Baumann, E. (1999): Vermessungskunde. Band 1: Einfache

Lagemessung und Nivellement, Dümmler. Baumann, E. (1998): Vermessungskunde. Band 2: Punktbe-

stimmung nach Lage und Höhe, Dümmler. Deumlich, F., Staiger, R. (2002): Instrumentenkunde der

Vermessungstechnik, Wichmann. Groß, G. (2004): Vermessungstechnische Berechnungen,

Teubner. Gruber, F., Jöckel, R. (2012): Formelsammlung für das Ver-

messungswesen, Springer Jordan, Eggert, Kneißl: Handbuch der Vermessungskunde, J.

B. Metzlersche Verlagsbuchhandlung, 1956-1966 Kahmen, H. (2006): Angewandte Geodäsie: Vermessungs-

kunde, de Gruyter Matthews, V. (2003): Vermessungskunde 1: Lage-, Höhen-

und Winkelmessungen. Vieweg-Teubner Matthews, V. (1997): Vermessungskunde. Teil 2, Teubner Petrahn, G. (2010): Grundlagen der Vermessungstechnik,

Cornelsen-Verlag Witte, B., Sparla, P. (2011): Vermessungskunde und Grund-

lagen der Statistik für das Bauwesen, Wichmann-Verlag.



GN 1440 Geodetic Basics

Lecturers: Prof. Dr. Pfeiffer, Prof. Dr. Schwäble



Year of study:


First



Prerequisites: None


Courses: Geodetic Calculation

Fundamentals of Metrology

Trigonometry

Teaching method / learning activities:

Mode of delivery:

Lecture, assignments Lecture, exercises Lecture

Face-to-face

Attendance:

Workload:

2 hours/week 2 hours/week 2 hours/week

30 contact hours, 30 hours of independent study 25 contact hours, 30 hours of independent study, 5 hours of guided study 30 contact hours, 30 hours of independent study




n/a

Course content: Geodetic Calculation: overview of the principles of funda-

mental coordination calculations and realisation of coor-dination calculations and transformation. Introduction to intersection calculation, coordinates transformation and the error calculation theory.

Fundamentals of Metrology: History of geodetic work and instruments. Bubbles, levelling of plates, reading devic-es. Optical fundamentals (prisms, optical flats, lenses, refraction, magnifiers, microscopes, telescopes). Theod-olites (components, set-up, levelling, operation, errors, reduction of errors, accuracy). Principle of collimation and auto-collimation

Trigonometry: right-angled and general triangles, addition theorems, goniometric equations, spherical right-angled and spherical general triangles, mathematical geography



Learning outcomes: After having successfully completed the course, the stu-dents should Geodetic Calculation:

be familiar with and be able to use the basics of geodetic calculations

Fundamentals of Metrology: know the basic laws of metrology be familiar with the principles of geodetic standard

instruments be able to use competently the geodetic standard

instruments Trigonometry:

be able to realize triangular calculations in the plane and in the sphere,

know map projections.


Recommended reading: Geodetic Calculation: Groß, G. (2004): Vermessungstechnische Berech-

nungen, Teubner Gruber, F., Jöckel, R. (2012): Formelsammlung für

das Vermessungswesen; Springer Petrahn, G. (2010): Grundlagen der Vermessungs-

technik, Cornelsen-Verlag Fundamentals of Metrology

Kahmen, H. (2006): Angewandte Geodäsie: Vermessungskunde, de Gruyter

Deumlich, F., Staiger, R. (2002): Instrumenten-kunde der Vermessungstechnik, Wichmann

Hecht, E. (2014): Optik, Oldenbourg Trigonometry

Hame, R. (1997): Sphärische Trigonometrie. Eh-renwirth Verlag GmbH

Kemnitz, A. (2013): Mathematik zum Studienbe-ginn, Springer

Kern, H., Rung, J. (1997): Sphärische Trigono-metrie. Bayerischer Schulbuch-Verlag.



GN 1450 Basics of Cartography

Lecturer: Prof. Dr. Günther-Diringer



Year of study:


First


ECTS credits: 5 cp

Prerequisites: none


Courses: Visualization Basics and Presentation Techniques

Cartography

Teaching method/learning activities:

Mode of delivery:

Lecture with exercises and discussions Lecture with exercises and discussions

Face-to-face

Attendance:

Workload:






Student can choose courses from the General Studies’ program

Course content: Visualization Basics and Presentation Techniques: Intro-

duction into physiology and perception; perceptional and communication theories. Basics of general drawing theo-ry, typography, design and colour theory. Basics of presentation (preparing and making a presentation, de-livery, use of visual elements).

Cartography: The students are provided with a basic knowledge of the concepts and methods of cartography. The focus is on topographic maps, digital geospatial data and thematic maps. The lecture contains the following topics: map-related illustrations, principles of cartograph-ic design, map scale, map fonts, notation of names, ter-rain design, cartographic generalization, thematic maps with different specifications. Practical work with topo-graphic maps is based on scale calculations, the location identification with map grids, the generalization and analysis of various maps, and compilation of thematic maps.



Learning outcomes: After having successfully completed the course, the stu-dents should Visualization Basics and Presentation Techniques:

be familiar with basic presentation techniques be able to use basic presentation techniques understand visual communication as part of overall

communication, recognize and evaluate the pur-pose of aesthetics. Use standards and priniciples for the design of various elements, e.g. typogra-phy, shape, color, image, as well as apply different processes of abstraction. Students can discuss the relationship between form and content in a visuali-zation exercise.

Cartography: be acquainted with the rules for the textual and

graphic composition of maps and related illustra-tions,

be able to design thematic maps, know the elementary principles of spatial refer-

ence, cartographic instruments (graphics, scale, generalization) and the technical implementation of paper-based maps and maps in digital form


Recommended reading: Literature: Abdullah, R., Hübner, R.: Piktogramme und Icons, Mainz

2005 Bollmann, J., Koch, W. G. (ed.): Lexikon der Kartographie

und Geomatik, Heidelberg / Berlin 2001 Forsyth, P.: 30 Minuten bis zur überzeugenden Präsenta-

tion, Offenbach 2006 Franck, N., Stary, J.: Gekonnt Visualisieren, Paderborn,

2006 Frutiger, A.: Der Mensch und seine Zeichen, Wiesbaden,

2004 Hake, G., Grünreich, D., Meng, L.: Kartographie, Berlin,

2001 Pricken, M.: Visuelle Kreativität, Mainz 2003 Stankowski, A., Duschek, K.: Visuelle Kommunikation,

Berlin 1989 Wilhelmy, H.: Kartographie in Stichworten, Zug 2002 Periodicals: Kartographische Nachrichten – Fachzeitschrift für Geoin-

formation und Visualisierung The Cartographic Journal – The World of Mapping Internet / Multimedia: Bundesamt für Kartographie und Geodäsie BKG (Federal

Agency for Cartography and Geodesy) http://www.bkg.bund.de

Deutsche Gesellschaft für Kartographie (German Carto-graphic Society) http://www.dgfk.net



GN 2410 Mathematics 2

Lecturers: Prof. Dr. Dürrschnabel



Year of study:


First

Second / summer semester

ECTS credits: 7 cp

Prerequisites: Recommended: successful completion of module GN 1410, advanced knowledge of functions of a variable and their differential calculus


Courses: Analysis 2

Linear Algebra 2


Mode of delivery:

Lecture, tutorial (maximum number of participants: 15) Lecture, tutorial (maximum number of participants: 15)

Face-to-face

Attendance:

Workload:




Assignments, online-tests, written exam (120 min)



Course content: Analysis 2: indefinite and definite integrals, series and power series, Fourier series and Fourier transformation, derivatives of functions of several variables, maximum and minimum values of functions of several variables, linear regression

Linear Algebra 2: complex numbers, coordinate transfor-mations, affine transformations, homogeneous coordi-nates, eigenvalue theory, conic sections and quadrics

Learning outcomes: After having successfully completed the course, the stu-dents should

Analysis 2: be able to perform series expansions, one- and multi-dimensional differential and integral calculus as well as demonstrate their useful application in practical exam-ples

Linear Algebra 2:



be able to work with complex numbers and to handle transformation problems, be able to use a computer algebra system as a suitable aid.

Work placements n/a

Recommended reading: Books: T. Arens, F. Hettlich et.al: Mathematik; Springer

Spektrum, 2011 G. Bärwolff: Höhere Mathematik für Naturwissen-

schaftler und Ingenieure; Springer Spektrum, 2008 K. Dürrschnabel: Mathematik für Ingenieure; Springer

Vieweg, 2012 S. Goebbels, S. Ritter: Mathematik verstehen und

anwenden; Springer Spektrum, 2013 A. Fetzer, H. Fränkel: Mathematik 1 und Mathematik

2; Springer, 2012 und 2012 L. Palula: Mathematik für Ingenieure und Naturwis-

senschaftler, Band 1 und Band 2, Springer Vieweg, 2014 und 2012

T. Rießinger: Mathematik für Ingenieure; Springer, 2013

J. Stewart: Calculus; Thomson Publishing, 2011 T. Westermann: Mathematik für Ingenieure, Springer,

2011 Internet / Multimedia: Material and online tests can be found on the HsKA ILI-AS server



GN 2420 Programming and Databases

Lecturers: Prof. Dr. Bürg Prof. Dr. Klein



Year of study:


First


ECTS credits: 6 cp

Prerequisites: Recommended: successful completion of module GN 1420, basic knowledge how to operate and use a comput-er


Courses: Programming

Databases


Mode of delivery:

Lecture Lecture

Face-to-face

Attendance:

Workload:


45 contact hours, 45 hours of independent study 30 contact hours, 60 hours of independent study





Course content: Programming: introduction to basic programming concepts

with the help of the programming language C++, struc-ture of a C++ program, definition of data objects, funda-mental data types, enumeration, pointers, reference, ar-rays, operators, basic input/output, input/output with files, control structures, dynamic storage management, intro-duction to the usage of a compiler

Databases: general principles of databases, design of relational database systems, normalization, principles of hierarchical, network and object-oriented databases, re-lational algebra, QBE and SQL, data organization, data integrity

Learning outcomes: After having successfully completed the course, the stu-dents should Programming:

have basic programming skills, be able to develop, implement and test simple pro-grams.

Databases:



be familiar with the fundamentals of relational data-bases, be able to design relational databases, be able to use a concrete relational database.


Recommended reading: Programming: Stroustrup, B. (2015): Die C++ Programmiersprache,

Hanser-Fachbuchverlag Willms, G. (1999): C++ - Das Grundlagenbuch, Data

Becker Breymann, U. (2007): C++ - Einführung und professio-

nelle Programmierung, Hanser Liberty, J. (1999): C++ in 21 Days, Sams Louis, D. (2014): C++ - Das komplette Starterkit für den

einfachen Einstieg in die Programmierung, Hanser Krienke, R. (1998): C++ kurzgefaßt, Spektrum Akade-

mischer Verlag Databases: Kemper, A., Eickler, A. (2013): Datenbanksysteme,

Oldenbourg Schubert, M. (2007): Datenbanken, Vieweg Steiner, R. (2014): Relationale Datenbanken



GN 2430 Mathematics and Natural Science

Lecturers: Prof. Dr. Dürrschnabel



Year of study:


First


ECTS credits: 6 cp

Prerequisites: Recommended: successful completion of module GN 1410, knowledge of differentiation, vector geometry, and matrix calculation


Courses: Analysis 3

Physics


Mode of delivery:

Lecture, tutorial (maximum number of participants: 15) Lecture, tutorial (maximum number of participants: 15)

Face-to-face

Attendance:

Workload:




Assignments, 2 written exams (90 min each)



Course content: Analysis 3: integration techniques, numeric integration,

multiple integrals, parameter curves, clothoid, differential equations

Physics: kinematics, dynamics, conservative laws, rigid bodies, circular motion, electric and magnetic fields, electromagnetic induction, AC and DC circuits, oscilla-tion and waves, wave optics, outlook into modern phys-ics

Learning outcomes: After having successfully completed the course, the stu-dents should Analysis 3:

be familiar with the methods of non-elementary analysis be able to apply these methods to non-trivial mathemati-cal and geodetic problems

Physics: be able to apply the basic principles of mechanics, elec-tricity and optics




Recommended reading: Books: Analysis 3: T. Arens, F. Hettlich et. al.: Mathematik; Springer

Spektrum, 2011 G. Bärwolff: Höhere Mathematik für Naturwissen-

schaftler und Ingenieure; Springer Spektrum, 2008 K. Dürrschnabel: Mathematik für Ingenieure; Springer

Vieweg, 2012 S. Goebbels, S. Ritter: Mathematik verstehen und

anwenden; Springer Spektrum, 2013 A. Fetzer, H. Fränkel: Mathematik 1 und Mathematik

2, Springer, 2012 L. Papula: Mathematik für Ingenieure und Naturwis-

senschaftler, Band 2 und Band 3; Springer Vieweg, 2012 und 2011

J. Stewart: Calculus; Thomson Publishing, 2011 T. Westermann: Mathematik für Ingenieure; Springer,

2011 Physics: P. Dobrinski, G. Krakau, A. Vogel: Physik für Ingeni-

eure; Springer Vieweg, 2010 D. Giancoli: Physik; Pearson Studium, 2010 E. hering, R. Martin, M. Stohrer: Physik für Ingenieu-

re; Springer, 2013 H. Lindner: Physik für Ingenieure; Hanser, 2014 P. Tipler, G. Mosca: Physik für Wissenschaftler und

Ingenieure; Springer Spektrum, 2014 Internet / Multimedia: Material can be found on the HsKA ILIAS server



GN 2440 Instrumentation and Sensors

Lecturers: Prof. Dr. Müller



Year of study:


First


ECTS credits: 6 cp

Attendance:

Workload:

4 hours/week 1 hour/week

60 contact hours, 105 hours of independent study, 15 hours of guided study

Prerequisites: Recommended: successful completion of modules GN 1410, GN 1430, GN 1440



Mode of delivery:

Lecture Exercises (maximum number of participants: 4)

Face-to-face


Assignments, written exam (90 min)



Course content: Principles of metrology. Physical components. Principles of electronic distance and angle measure-

ment, and of electronic tacheometry; components, in-fluence of atmospheric parameters.

Automated leveling Distance measurement using microwaves, radio navi-

gation Echosounding Laser interferometry. EDM with elliptically polarized

light. Laser scanning Electronic measurement of smaller distance changes.

Inclination sensors. Inertial sensor technology Practical exercises on using and calibrating electronic

tacheometers. Written and oral reports

Learning outcomes: After having successfully completed the course, the stu-dents should be able to understand the principles of the most im-

portant measuring instruments, their physical founda-tion, and their electronic components,

be able to check and calibrate measuring instruments, be familiar with the measuring instruments and meth-



ods which are used in special cases, be able to present a short and precise oral and written

report


Recommended reading: Books: Joeckel, R., Stober, M., Huep, W.: Elektronische Ent-

fernungs- und Richtungsmessung. Stuttgart: Wittwer, 2008

Schlemmer, H.: Grundlagen der Sensorik. Heidelberg: Wichmann, 1996

Parthier, Rainer: Messtechnik. Wiesbaden: Vieweg, 2011



GN 2450 Surveying 2

Lecturers: Prof. Dr. Schwäble



Year of study:


First


ECTS credits: 5 cp


Attendance:

Workload:

5 hours/week


Prerequisites: Recommended: successful completion of modules GN 1430, GN 1440. Theoretical and practical knowledge of function and use of the theodolite, elementary mathemati-cal knowledge about coordinate systems


Mode of delivery:

Lecture, practical exercises

Face-to-face





Course content: Methods, standards and data processing in considera-tion of terrestrial horizontal positioning including error propagation. The focus is on polar observation, setting out, recovering, traversing, intersection, resection, point centring.

Coordinate transformation (conformal, 5 parameters, affine)

Variance propagation (scalar und vectorial) , algebraic and physical correlation

Practical application (planning, measurement, analysis) the most important methods for determining location points

Learning outcomes: After having successfully completed the course, the stu-dents should be able to plan, to evaluate and to interpret standard

terrestrial positioning measurements have advanced knowledge in failure analysis and cor-

rection be able to determine location points




Recommended reading: Kahmen, H.: Vermessungskunde, de Gruyter; Berlin,

New York 2006 Matthews, V.: Vermessungskunde 1, Teubner, Stuttgart,

Leipzig, Wiesbaden 2003. Matthews, V.: Vermessungskunde 2, Teubner, Stuttgart

1997. Witte, B. und Schmidt, H.: Vermessungskunde und

Grundlagen der Statistik, Wittwer, Wichmann, Heidel-berg 2004.



GN 3410 Computer Graphics and Digital Image Processing

Lecturers Prof. Dr. Klein Prof. Dr. Pfeiffer



Year of study:


Second

Third / winter semester

ECTS credits: 6 cp


Courses: Computer Graphics

Digital Image Processing

Attendance:

Workload:



Prerequisites: Recommended: basic knowledge how to operate and use a computer


Mode of delivery:

Lecture, exercises Lecture, lab project

Face-to-face





Course content: Computer Graphics: Introduction to Computer Graphics: colour models,

modelling and representation of two- and three-dimensional objects by means of vector and raster graphics or data formats, basics of representatioin of geographical objects, (transformations, generation of curves, filling areas, projection of space onto plane, de-termining visible edges and faces)

Geometric data transfer between CAD systems, auto-mated collection of graphical data, processing of data gained in geodetic measuring processes

Use of AutoCAD: default settings, how to create a new drawing, drawing and editing commands for two- and three-dimensional objects, definition of user corrdin-date system, creation of blocks with attributes, adding externatl references, labeling, dimensioning, creating and printing layouts, hatching areas, generating per-spective views



Use of GEOgraf: default settings, setup and printing of orders, geodetic calculations (area division, building structure, coordinate transformation,…), reading in and output of coordinate files, automatic generation of graphics, georeferencing of digital maps, digitising, generation of a digital terrain model based on tachy-metrically surveyed areas and derivation of derivatives

Creating plans for surveying pratice Digital Image Processing: Basics of digital image processing: picture digitalisa-

tion, pictorial statistics, grayscale manipulation, digital filtering, geometric operations, segmentation and clas-sification

As a lab project, the students will use the remote sens-ing software Erdas Imagine to perform practical exer-cises with satellite imagery. This includes greyscale and colour manipulation, filtering, geometrical image transformation and multispectral classification

Learning outcomes: After having successfully completed the course, the stu-dents should Computer Graphics: be familiar with the information representation in com-

puter graphics be able to use the CAD programs AutoCAD and GEO-

graf for two- and three-dimensional design, labeling, dimensioning, creation and presentation of plans

be able to carry out data exchange between CAD pro-grams

be able to carry out georeferencing of maps and data recording through on-screen digitization

be familiar with how to derive derivatives (contour lines, quantity surveys, longitudinal and cross-sectional pro-files) from digital elevation models

Digital Image Processing: be familiar with the theoretical and methodical basics of

digital image processing be able to work with a professional image processing

software tool in a remote sensing environment


Recommended reading: Computer Graphics: Bungartz, H., Griebel, M., Zenger, C. (2002): Einfüh-

rung in die Computergraphik: Grundlagen, Geometri-sche Modellierung, Algorithmen. Vieweg-Teubner

Foley, J., van Dam, A., Feiner, S., Hughes, J., Phillips, R. (1994): Grundlagen der Computergraphik: Einfüh-rung, Konzepte, Methoden. Addison-Wesley

Kopp, H. (1989): Graphische Datenverarbeitung: Me-thoden, Algorithmen und ihre Implementierung. Han-ser-Verlag

Luther, W. (2013): Mathematische Grundlagen der Computergraphik, Vieweg-Teubner

Programmdokumentation GEOgraf (2014), HHK Da-tentechnik GmbH

Rauber, W. (1993): Algorithmen in der Computergra-phik. Vieweg-Teubner, Stuttgart

Ridder, D. (2013): AutoCAD 2014 – Das Einsteigerse-minar, bhv

Sommer, W. (2013): AutoCAD und LT 2013,



Markt+Technik Zavodnik, R., Kopp, H. (1995): Graphische Datenver-

arbeitung: Grundzüge und Anwendungen. Hanser-Verlag

Digital Image Processing: Nischwitz, Haberäcker (2012): Masterkurs Computer-

grafik und Bildverarbeitung, Vieweg-Verlag Internet / Multimedia: www.autodesk.com www.hhk.de



GN 3420 Basics of Geographical Information Systems

Lecturers: Prof. Dr. Saler



Year of study:


Second


ECTS credits: 6 cp


Courses: Basics of Geographical Information Systems

Project Basics of Geographical Information Systems

Attendance:

Workload:


30 contact hours, 50 hours of independent study 70 hours of independent study, 30 hours of guided study

Prerequisites: Recommended: successful completion of modules GN 1410, GN 2420


Mode of delivery:

Lecture Laboratory

Face-to-face


Lab work, written Exam (90 min)



Course content: Basics of Geographical Information Systems:

GIS concepts, GIS applications, overview on GIS hard-ware and software, data modelling, data acquisition and storage, basic functionalities, geospatial analysis, data quality and sources of errors, geodatabases

Project Basics of Geographical Information Systems: introductory exercises in ArcCatalog (1), ArcMap (2), ed-iting (3), symbolizing (4), analyzing (5), layout (6)

Independent exercises: site-balance (A), setup of a data model for topographic survey (B), site analysis (C)

Learning outcomes: After having successfully completed the course, the stu-dents should Basics of Geographical Information Systems: have an overview of the structure, content and applica-

tions of GIS, have acquired basic knowledge in the conception,

models, organization, basic functionalities and princi-ples of spatial analysis.



Project Basics of Geographical Information Systems: be familiar with the basic functions of a GIS system

(ArcGIS) be able to carry out small GIS projects independently


Recommended reading: Books: Barthelme, N.: Geoinformatik. Berlin: Springer, 2005 Bill, R.: Grundlagen der Geo-Informationssysteme.

Heidelberg: Wichmann, 2010. Bill, R.; Zehner, M.L.: Lexikon der Geoinformatik. 1.

Auflage. Heidelberg: Wichmann, 2001 Burrough, P. and McDonnell, R.: Principles of Geo-

graphical Information Systems. Oxford: University Press, 1998

Demers, M.N.: Fundamentals of Geographic Infor-mation Systems. New York: Wiley, 2009

GI Geoinformatik GmbH (ed.): ArcGIS 10 Handbuch für ArcView and ArcEditor, Heidelberg: Wichmann, 2011

Longley, P.A., Goodchild, M.F., Maguire, D.J. and Rhind, D.W.: Geographic Information Systems and Science, 2nd edn, John Wiley & Sons, Ltd, Chichester

Worboys, M.F.: GIS – A Computing Perspective. Lon-don: Taylor & Francis, 2005

Zeiler, M.: Modeling our World. Redlands: ESRI Press, 2010

Internet / Multimedia: www.gistutor.com/ www.giswiki.org/wiki/Tutorials de.wikipedia.org/wiki/Geoinformationssystem www.esri.com www.esri.de/ eLearning platforms: ELAN: http://elan.forst.unigoettingen.de/analyse/gisdaten.htm# ELITE@TUB: www.zewk.tuberlin.de/vmenue/wissenschaftliche_weiterbildung/elearning/kursangebot/ ESRI: www.esri.de/schulung/kursangebot FerGI: www.fergi-online.uniosnabrueck.de/ geoinformation.net: www.geoinformation.net gimolus: www.gimolus.org/



GN 3430 Software Development


Type of course unit Compulsory


Year of study:


Second


ECTS credits: 5 cp


Courses: Software Development

Software Development Project

Attendance:

Workload:

4 hours/week self-study

60 contact hours, 30 hours of independent study 60 hours of independent study

Prerequisite: Recommended: successful completion of module GN 2420, basic knowledge of a programming language (C, C++, Java)


Mode of delivery:

Lecture Project

Face-to-face self-study


Assignment, written exam (120 min)



Course content: Software Development: advanced programming tech-niques, functions, pre-processor directives, structures, object-oriented programming, classes, inheritance, overloaded operators, classes of the C++ standard li-brary, templates, including libraries, exception handling

Software Development Project: Development of a class library for handling tasks related to linear algebra or to practical applications of geodesy

Learning outcomes: After having successfully completed the course, the stu-dents should Software Development: have deepended the knowledge obtained in module

GN 2420 be familiar with the concepts of object-oriented pro-

gramming with C++ be able to develop advanced programs and to imple-

ment the programs in a C++ development environment



Software Development Project: be able to develop independently an advanced, object-

oriented program be able to test the program with a self-provided numer-

ical example be able to author a software documentation


Recommended reading: Stroustrup, B. (2015): Die C++ Programmiersprache, Hanser-Fachbuchverlag

Willms, G. (1999): C++ - Das Grundlagenbuch, Data Becker

Breymann, U. (2007): C++ - Einführung und professi-onelle Programmierung, Hanser

Liberty, J. (1999): C++ in 21 Days, Sams Louis, D. (2014): C++ - Das komplette Starterkit für

den einfachen Einstieg in die Programmierung, Han-ser

Krienke, R. (1998): C++ kurzgefaßt, Spektrum Aka-demischer Verlag



GN 3440 Adjustment and Statistics




Year of study:


Second


ECTS credits: 6 cp


Courses: Statistics Adjustment

Attendance:

Workload:



Prerequisites: Recommended: successful completion of modules GN 1410, GN 2410, knowledge of variance propagation, ma-trix calculation, linear algebra


Mode of delivery:

Lecture, exercise Lecture, exercise

Face-to-face





Course content: Statistics:

Descriptive statistics (frequencies, measured values). Probability theory (terms, calculation rules, random var-iable). Probability distributions. Evaluating statistics (test distributions, confidence intervals, statistical test-ing)

Adjustment: Rationale and derivation of the Gauß-Markov model. Weight approaches, adjustment of direct obser-vations, regression analysis, compensating curves and surfaces, height and planimetric adjustment, network storage, evalution of adjustment results.

Learning outcomes: After having successfully completed the course, the stu-dents should Statistics: be able to deal with the most important test distribu-

tions, be able to define task-specific confidence regions, be able to formulate statistical tests and interpret their

results.



Adjustment: know how to handle redundant observation problems

and code them using a computer algebra system, be familiar with the geodetic standard software to be

able to perform adjustment computations


Recommended reading: Benning, W.: Statistik in Geodäsie, Geoinformation und

Bauwesen. Wichmann, Heidelberg 2007. Caspary, W. und Wichmann, K.: Auswertung von Messda-

ten. Oldenbourg, München, Wien 2007. Caspary, W.: Fehlertolerante Auswertung von Messdaten.

Oldenbourg, München 2013. Jäger, R., Müller, T., Saler, H., Schwäble, R.: Klassische

und robuste Ausgleichungsverfahren. Wichmann, Hei-delberg 2005.

Kreyszig, E.: Statistische Methoden und ihre Anwendung. Vandenhoecik&Rupert, Göttingen 1999.

Niemeier, W.: Ausgleichungsrechnung. De Gruyter, Berlin 2008.

Sachs, L.: Angewandte Statistik. Springer, Heidelberg, London, New York 2002.

Sachs, M.: Wahrscheinlichkeitsrechnung und Statistik. Hanser, Leipzig 2009.

Schlittgen, R.: Das Statistiklabor. Springer, Heidelberg, London, New York 2009.

Strang, G. und Borre, K.: Linear Algebra, Geodesy and GPS. Wellesley-Cambridge Press 1997.



GN 3450 Geodesy 1

Lecturers: Prof. Dr. Jäger Prof. Dr. Klein



Year of study:


Second


ECTS credits: 7 cp

Attendance:

Workload:

3+2 hours/week 1 hour/week self-study

45 contact hours, 75 hours of independent study, 30 hours of guided study 15 contact hours, 10 hours of independent study, 5 hours of guided study 30 hours of independent study

Prerequisites: Recommended: successful completion of modules GN 1430, GN 2450


Courses: Geodesy 1

Topography

Project


Mode of delivery:

Lecture, practical exercises Lecture Project

Face-to-face Self-study





Course content: Geodesy 1: Height systems (potential theoretical definition

and realization; historic and modern vertical datum, leveling and gravity, geopotential height; height types and height reference surfaces; historic development of the main German height system; status and trends of official height systems; transition to normal heights EUREF) geometric leveling (basic principle for smaller areas; reductions for larger areas; leveling equipment; classes of accuracy; evaluation of leveling data; random and systematic errors during leveling, fine leveling and in height systems; measuring methods). Trigonometric height determination (trigonometric



height transfer over large distances; height transfer over short distances; earth curvature reduction; refrac-tive correction; atmospheric reduction of slop distanc-es; reduction of zenith distances due to deflections of the vertical; decentering of zenith distances at different instrument heights; instrument errors, random and sys-tematic errors; simultaneous, mutual zenith distances; conventional tower height determination. Special methods for determining heights (potential-based height determination using clocks; hydrostatic leveling and water level gauge; barometric height de-termination). Site survey for height and quantity survey (surface leveling; longitudinal and cross-section survey; calculation of volume). GNSS-based height determination (GNSS measuring methods and accuracies; forms of representation of height reference surfaces; practice of GNSS-based height determination). Basics of evaluation and adjustment of free and con-nected networks of height benchmarks. Lectures with exercises followed by group exercises. Topics: loop leveling and line leveling, trigonometric height determination, simultaneous mututal zenith de-termination, surface leveling with longitudinal and cross-sectional survey, volume calculations, GNSS-based height determination

Topography: classic geodetic measuring for the design of topographic maps, basics of creating digital terrain models and their options, geomorphological aspects for data acquisition

Project: Planning, measuring and evaluation of a fine level-ing network. Evaluation using standard adjustment software with a free and a connected network of height benchmarks, as individual group networks and as an overall network of all groups.

Learning outcomes: After having successfully completed the course, the stu-dents should Geodesy 1: be familiar with the definition of height systems their

realization as networks of height benchmarks through leveling and gravity measurements.

be familiar with different methods of terrestrial height determination, special methods and basics of GNSS-based height determination.

be familiar with basics of method-specific random and systematic errors and the adjustment of free and con-nected networks of height benchmarks.

be able to perform and evaluate statistical analysis of different terrestrial height measurement methods, GNSS-based height determination and standard meth-ods of volume measurement

Topography: know how to plan a topographical project Project: be able to plan, carry out as well as analyze and statis-

tically evaluate a precise network of height benchmarks using standard adjustment software




Recommended reading: Geodesy 1: Witte, B., Sparla, P. (2011): Vermessungskunde und

Grundlagen der Statistik für das Bauwesen. Wich-mann-Verlag

Matthews, V. (2003): Vermessungskunde 1: Lage-, Höhen- und Winkelmessungen. Vieweg-Teubner

Matthews, V. (1997): Vermessungskunde. Teil 2. Teubner

Resnik, B., Bill, R. (2009): Vermessungskunde für den Planungs-, Bau- und Umweltbereich. Wichmann, Hei-delberg

Kahmen, H. (2006): Angewandte Geodäsie: Vermes-sungskunde. De Gruyter

Möser, M., Hoffmeister, H., Müller, G., Schlemmer, H., Staiger, R., Wanninger, L. (2012): Handbuch der Ingenieurgeodäsie. Grundlagen. 3. Auflage. Wich-mann-Verlag, Heidelberg

W. Großmann (1976): Vermessungskunde. Band 1,2,3

Jordan/Eggert/Kneissl (1952-1962): Handbuch der Vermessungskunde. Band 1-5

Baumann, E. (1992): Vermessungskunde. Band 1-3 Torge, W. and J. Müller (2012): Geodesy. De Gruyter

Lehrbuch. 4th ed. M. Becker and K. Hehl (2012): Geodäsie. WBG Ver-

lag, Darmstadt Internet/Multimedia: www.lv-bw.de/lvshop2/produktinfo/wir-ueber-

uns/links/vortraege/DVW_Artikel_Normalhoehen_in_BW.pdf

www.fig.net www.euref.eu www.dfhbf.de Topography: Imhof, E. (1968): Gelände und Karte. Zürich Hake, G., Grünreich, D., Meng, L. (2002): Kartogra-

phie – Visualisierung raum-zeitlicher Informationen. Berlin

Project: Jäger, R., Müller, T., Saler H., Schwäble R. (2005):

Klassische und robuste Ausgleichungsverfahren – Ein Leitfaden für Ausbildung und Praxis von Geodäten und Geoinformatikern. Wichmann, Heidelberg. ISBN 3-87907-370-8



GN 4410 Geodesy 2

Lecturers: Prof. Dr. Müller Prof. Dr. Schwäble



Year of study:


Second

Forth / summer semester

ECTS credits: 6 cp

Attendance:

Workload:



Prerequisites: Recommended: successful completion of modules GN 2440, GN 2450, GN 3450, GN 3440


Courses: Engineering Geodesy Basics

Project Management in Engineering Geodesy


Lecture Lecture and practical exercise





Course content: Engineering Geodesy Basics: Essential aspects, methods, procedures and standards of construction surveying: Side and height refraction, precise mechanical length measurement, hydrostatic levelling, auto- collimation, gyroscope techniques, opti-cal and mechanical plumbing, optical and mechanical alignment, precise multi-station theodolite measuring, guidance and control in the field of tunnelling; defor-mation measurement and deformation analysis, special surveys.

Project Management in Engineering Geodesy: Introduction to project management: project organization, schedul-ing, budget planning, essential work steps, coordina-tion of work groups. Basics of geodetic network determination. Planning and execution of a project for geodetic network deter-mination.




Engineering Geodesy Basics: be familiar with the most relevant methods and proce-

dures applied in engineering geodesy Project Management in Engineering Geodesy know the basics of project management for application

in the field of engineering geodesy


Recommended reading: Engineering Geodesy Basics

Möser, M. et al.: Handbuch der Ingenieurgeodäsie – Grundlagen. Wichmann, Heidelberg 2012.

Heunecke, O. et al.: Handbuch der Ingenieurgeodäsie – Auswertung geodätischer Überwachungsmessun-gen. Wichmann, Heidelberg 2013.

Project Management in Engineering Geodesy Kochendörfer, B. et al.: Bau-Projekt-Management.

Teubner, Stuttgart 2007.



GN 4420 Industrial Measurement Technology




Year of study:


Second

Fourth / summer semester

ECTS credits: 5 cp

Attendance:

Workload:


25 contact hours, 45 hours of independent study, 5 hours of guided study 30 contact hours, 45 hours of independent study

Prerequisites: Recommended: successful completion of module GN 2440


Courses: Industrial Measurement Technology

Quality Management


Mode of delivery:

Lecture Lecture

Face-to-face





Course content: Industrial Measurement Technology: Essential methods

and standards of industrial measurement technology: development, material measuring, measure uncertain-ty, tolerance criteria, test planning, test data acquisitionand evaluation.

Quality Management: Introduction to modern quality man-agement: history, significance, concept, quality assur-ance, tools and procedures, strategy, quality manual, QM elements, quality audit, certification.


Industrial Measurement Technology: know the fundamentals and procedures applied in in-

dustrial measurement technology be able to develop strategies for measuring according

to requirements and industrial standard

Quality Management: be able to evaluate processes according to quality



management or standard requirements


Recommended reading: Kamiske, G. and Brauer, J.P.: Qualitätsmanagement von A bis Z. Hanser, München, Wien 1999.

Linß, G.: Qualitätsmanagement für Ingenieure. Fach-buchverlag Leipzig 2005.

Luhmann, T.: Nahbereichsphotogrammetrie. Wich-mann, Heidelberg 2010.

Schmidt, R. and Pfeifer, T.: Fertigungsmesstechnik. Oldenbourg, München, Wien 2010.

Wappis, J. and Jung, B.: Taschenbuch Null-Fehler-Mangement. Hanser, München, Wien 2008.

Weckenmann, A., Gawande, B.: Koordinatenmess-technik. Hanser, München, Wien 2012.



GN 4430 Photogrammetry and Remote Sensing

Lecturers: Prof. Dr. Pfeiffer Prof. Dr. Müller Prof. Dr. Klein



Year of study:


Second


ECTS credits: 10 cp

Attendance:

Workload:

3 hours/week 2 hours/week 1 hour/week 2 hours/week

45 contact hours, 45 hours of independent study 30 contact hours, 60 hours of independent study 10 contact hours, 15 hours of independent study, 5 hours of guided study 10 contact hours, 60 hours of independent study, 20 hours of guided study

Prerequisites: Recommended: successful completion of modules GN 1430, GN 2450, GN 3410, GN 2440


Courses: Photogrammetry

Remote Sensing

Laserscanning

Topographic Project


Mode of delivery:

Lecture Lecture Lecture, project Exercises (maximum number of participants: 4)

Face-to-face





Course content: Photogrammetry: Basics of photogrammetry, instruments

and procedures related to taking and evaluating pic-tures. Mathematical basics, optical photographic im-age, stereoscopic procedures, terrestrial image record-ing and aerial image recording, image orientation, ste-reo analysis, orthophoto, introduction to aerotriangula-tion, image correlation.

Remote Sensing: Physical basics of remote sensing (e.g.



electromagnetic spectrum, energy sources, laws of ra-diation, interactions of radiation with the atmosphere and Earth’s surface); satellite image sensors (e.g. Mul-tispectral Scanner, radar systems)

Laser Scanning: Introduction to the basics of terrestrial and airborne laser scanning, sensors and the evalua-tion methods. During a practical course, measurements are performed with a terrestrial 3D laser scanner and evaluated.

Topographic Project: A practical project is planned, meas-ured and evaluated with the help of modern instru-ments and software

Learning outcomes: After having successfully completed the course, the stu-dents should Photogrammetry: are familiar with the basic principles of photogrammetry know how to gather and evaluate basic geospatial in-

formation are familiar with the vielfältigen praktischen Einsatz-

möglichkeiten der Photogrammetrie zur Geodatener-fassung

Remote Sensing: know the physical basics of remote sensing be familiar with the use of different sensors for satellite

imagery

Laser Scanning: know the methods of laser scanning be able to consider areas of application have obtained experience with the measurement

method

Topographic Project: able to plan and perform a topographic project


Recommended reading: Books: Kraus, K.: Photogrammetrie, Band 1. De Gruyter Verlag,

Berlin, 2004. Luhmann, T.: Nahbereichsphotogrammetrie. 2nd ed.

Wichmann Verlag Heidelberg, 2003. Atkinson, K.B. (ed.): Close Range Photogrammetry and

Machine Vision. 1996 Schenk, T.: Digital Photogrammetry. 1999 Albertz, J.: Einführung in die Fernerkundung. Wissen-

schaftliche Buchgesellschaft Darmstadt, 2001. Kraus, K., Schneider, W.: Fernerkundung, 2 Bände.

Dümmler Verlag Bonn, 1988. Albertz, J., Wiggenhagen, M.: Taschenbuch zur Photo-

grammetrie und Fernerkundung – Guide for Photo-grammetry and Remote Sensing. 5. Aufl., Wichmann Verlag Heidelberg, 2007

Vosselmann, G.: Airborne and Terrestrial Laser Scan-ning. Whittles Publishing, 2010.

Internet / Multimedia: http://www.i4.auc.dk/jh/cal.htm



GN 4440 Mathematical Geodesy

Lecturers: Prof. Dr. Jäger



Year of study:


Second


ECTS credits: 5 cp

Attendance:

Workload:



Prerequisites: none



Mode of delivery:

Lecture Exercises with project

Face-to-face





Course content: Major theoretical and application-oriented questions of mathematical geodesy. Polar and parallel coordinates on the sphere and ellipsoid. Local geodetic and local astro-nomical vertical system and transitions. Roll-pitch-yaw-angles as important factors of navigation. Gravity field, potential and functional. Leveling surfaces. Mathematical definition and realisation of physical height systems and surfaces. Conventional and modern horizontal networks, gravity nets, reference gravity field. Geoid, Qgeoid and deflections from the vertical. Reductions of terrestrial geo-detic observations (geometric, gravity-field and projections based) for a further use in plan and height networks. Ge-ometry and differential geometry of the rotation ellipsoid (Cartesian and geographical coordinates, spherical coor-dinates and conversions, Gauß fundamental quantities). Line element and length of the meridian arc. Isometric surface parameters. Polar and parallel coordinates on a sphere and ellipsoid. Geodetic major tasks. Classical and modern reference frame definitions and geodynamics. Three-dimensional transformation problems and algorith-mic solutions in 3D and by splitting to 2D/1D. Geoid-fitting methods and transition of ellipsoidal heights h to physical heights H. How to deal with residual gaps. Map projections types and basic concepts. Length, area and angle distor-tion. Conic, cylinder and azimuthal projections derived



from conditions of distortion. Conformal mapping based on Cauchy-Riemann differential equations (Mercator, Lam-bert, Gauß-Krüger, UTM, etc.). Reductions and mapping. Implementation of different dialog-based Windosw C++ software packages for the computation of large data sets.

Learning outcomes: After having successfully completed the course, the stu-dents should know about the geometrical and gravitation field based

definition and realisation of classical and geodetic modern reference systems for plan, height and gravity. They can calculate, by different types and algorithms, cartesian and curved-lined coordinate systems, georeferencing and navigation, and know the geodetic major tasks.

be familiar with mathematical models and algorithms for the date transition in three dimensions and in a separation between the height and plan components,

be able to work with different kinds of map projections, projection distortions and reductions,

know about the reduction of geodetic measurements in the geometry and gravity space.

be able to develop complex algorithms and profession-al software in the field of mathematical geodesy,

be able to implement them in an adequate and profes-sional manner in a C++ or C# Windows development environment.


Recommended reading: Books: W. Großmann: Geodätische Berechnungen und Abbil-

dungen in der Landesvermessung. Stuttgart. 1975. Heck, B.: Rechenverfahren und Auswertmodelle der

Landesvermessung. Wichmann-Verlag. 2003 Hofmann-Wellenhof und H. Moritz: Physical Geodesy.

Springer-Verlag. 2005 Maling, D.H.: Coordinate Systems and Map Projec-

tions. 2nd ed. Butterworth-Heinemann, 1993. Merkel. H.: Grundzüge der Kartenprjektionslehre. Teil

1: Die theoretischen Grundlagen. Teil 2: Abbild-ungsverfahren. 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, D.C: U.S. Government Printing Office, 1987.

Torge, W. und J. Müller (2012): Geodesy. De Gruyter Lehrbuch. 4. ed.

M. Becker and K. Hehl (2012): Geodäsie. WBG Verlag, Darmstadt.

Internet / Multimedia http://www.euref.eu/ http://www.microsoft.com/de-

de/download/details.aspx?id=39371



GN 4450 Satellite Geodesy




Year of study:


Second


ECTS credits: 5 cp


Attendance:

Workload:



Prerequisites: None


Mode of delivery:

Lecture Lecture with project

Face-to-face





Course content: Methods of satellite geodesy and satellite systems. Satel-lite orbit equations, undisturbed and disturbed orbit. Orbit representations and accuracy. Reference frames and tran-sitions from the space-fixed to the earth-fixed frame. Pa-rameterizations in Earth-fixed coordinate system, ITRS and ITRF. Satellite navigation message contents and rep-resentations. Satellite ground track and visibility. System design of modern GNSS systems (GPS / GLONASS / GALILEO) in the space, control and user segment. IGS, IGS products IGS-RTS. GNSS signal types and observa-tion equations. Troposphere and ionosphere influence and modelling. Linear combinations and ambiguity solution strategies. GNSS positioning with code and phase obser-vations in post-processing and real-time mode. Doppler count and cycle slips. GNSS processing modes and accu-racy standards. GNSS raw data, correction data and communication standards (RTCM, RTCA, RINEX, SINEX). GNSS positioning services (SAPOS, VRSNow etc.), meth-ods (VRS, FKP) and protocols (NTRIP). GNSS processing standards and software. Quality control, further processing and integration of GNSS results into geodetic plans and height networks. Field measurements of rapid-static GNSS sessions for the determination of precise new points in plan and height. Further processing GNSS data in the



baseline mode by using various standard softwares. Quali-ty control of GNSS evaluation and integration of into geo-detic plans and height networks. RTK field measurements using RTCM corrections of type. Post processing and online transformations of GNSS position into the terrestrial plan and height network.

Learning outcomes: After having successfully completed the course, the stu-dents should know the theoretical concepts, realisation and use of

modern GNSS for general positioning and navigation tasks, and for a precise geodetic coordinate determina-tion in post-processing and in online mode.

understand about the relevant GNSS data and com-munication types,

be acquainted with the observation equations, atmos-pheric modelling and algorithms for GNSS data pro-cessing in real-time and post-processing positioning, and with models for further processing and integrating GNSS processing results into geodetic networks.

Work placements n/a

Recommended reading: Books: M. Bauer (2011): Vermessung und Ortung mit Satel-

liten. Wichmann Verlag, Heidelberg, 6. ed. M. Becker and K. Hehl (2012): Geodäsie. WBG Ver-

lag, Darmstadt. Hofmann-Wellenhof, B., Lichtenegger, H. and E.

Wasle (2007): GNSS – Global Navigation Satellite Systems: GPS, GLONASS, Galileo, and more. Springer-Verlag.

Blankenbach, J. (2008): Handbuch der Mobilen Geoinformation. H. Wichmann, Heidelberg.

Böser, W., Dürrschnabel, K., Girndt, U., Hanauer, R., Hell, G., Jäger, R., Klein, U., Müller, T., Saler, H., Schwäble, R. and G. Schweinfurth (2012): Geomatik aktuell 2012. Präzise Navigation und Mobile Geo-datenerfassung Out- und Indoor. Karlsruher Geowis-senschaftlich Schriften Reihe B, Band 7.

Internet / Multimedia: www.sapos.de http://rts.igs.org/



GNB 500 Internship Semester

Lecturers: Prof. Dr. Pfeiffer



Year of study:


Second

Fifth / winter semester

ECTS credits: 30 cp

Attendance:

Workload:

1 hour/week 1 hour/week

90 hours of guided study 720 hours of self-contained work 90 hours of guided study

Prerequisites: Successful completion of preliminary examination


Courses: Internship Preparation

Internship

Internship Follow-up


Mode of delivery:

Lecture Internship Presentation

Face-to-face


Assignments, project



Course content: Internship Preparation: One-week seminar to teach varied

soft skills (e.g. project work, working in a team, presen-tation techniques, oration)

Internship: Self-dependent activity outside of the university in the field of geomatics. Contents are the preparation and realisation of measurements and the processing, visualisation and interpretation of geodetical infor-mation.

Internship Follow-up: The student writes an internship report, prepares and carries out the presentation, with-in one week.


Internship Preparation: be able to assess their skills, be able to carry out practical work successfully



Internship: be able to apply their theoretical knowledge in a professional environment

Internship Follow-up: be able to present results in written and spoken form to a specialized audience as well as share information with other students


Recommended reading: Will be communicated by lecturer during Internship Prep-aration



GN 6410 Cadastre and Land Division

Lecturers: Prof. Dr. Saler Mr. Rayling Mr. Wiese



Year of study:


Third

Sixth / summer semester

ECTS credits: 6 cp


Courses: Cadastre

Land Division

Attendance:

Workload:


45 contact hours, 75 hours of independent study 30 contact hours, 30 hours of independent study

Prerequisites: None


Mode of delivery:

Lecture Lecture

Face-to-face


Written exam (90 min) Written exam (60 min)



Course content: Cadastre: Historic development of cadastre from the 19th century

until present The task of cadastre administration in Germany and its

organisation Legal foundations Cadastre documents (ALKIS, AFIS) Data transfer between cadaster administration and

land register office Point positioning methods for cadastre points Recent developments in the field of cadastre Land Division: Requirements for carrying out land consoli-

dation procedures as well as knowledge of processes and legal issues is imparted. Special focus is on the following content: involvement of land owners in procedure, appraisal as basis of a equivalent compensation

as well as



redesign within framework of pathways and water-bodies plan with accompanying landscape conser-vation plan,

Compensation with land of equal value.


Cadastre: understand the relations between cadastre documents, be able to collect information from cadastre documents

for preparing surveying in the field of cadastre, understand the basics in cadastre surveying and ca-

dastre updating. Land Division: know of land consolidation procedure as an instrument

for solving problems in rural areas, in addition to traditional tasks of improvement of pro-

duction and working conditions, become particularly familiar with land preparation for larger enterprises (e.g. roads, train tracks, artificial lakes)

be capable of solving conflicts of use (farming, envi-ronmental protection, leisure and recreational use, communal goals and tasks)


Recommended reading: Cadastre: Lecture notes Rules and regulations of Vermessungsverwaltung

BaWü (VwVFP, VwVLK, VwVLV) (cadaster administ-ration)

Vermessungsgesetz (Cadaster Law) von Baden-Württemberg

Land Division: Flurbereinigungsgesetz i.d.F. vom 16.03.1976, BGBI

I, p. 546 Internet / Multimedia: www.lgl-bw.de



GN 6420 Photogrammetry and Infrastructure Information Systems

Lecturers: Prof. Dr. Pfeiffer Prof. Dr. Saler



Year of study:


Third


ECTS credits: 5 cp


Courses: Infrastructure Information Systems

Photogrammetry Practical

Attendance:

Workload:


25 contact hours, 60 hours of independent study, 5 hours of guided study 30 contact hours, 30 hours of independent study

Prerequisites: Recommended: experience with CAD, successful comple-tion of modules GN 3420, GN 4430


Mode of delivery:

Lecture Exercises

Face-to-face


Assignment, written exam (90 min) Lab project, written exam (90 min)



Course content: Infrastructure Information Systems: Basics of and geo-basis data for small-scale spatial information systems, pipe information systems with a focus on sewer infor-mation systems. Introduction into Facility Management and Computer Aided Facility Management (CAFM). As an assignment, parts of a buildung are surveyed and the results are compared with existing planning data.

Photogrammetry Practical: Based on the lecture Photo-grammetry, the following special aspects of surveying are dealt with, by means of practical exercises with special digital imagery analysis software (Erdas Imag-ine and PhotoModeler): bundle block adjustment, digi-tal stereoscopic procedures, automatic image coordi-nation measurements, terrestrical metric image taking, and photogrammetric 3D-modeling of spatial objects




Infrastructure Information Systems: understand the basics of pipe and building information

systems be able to plan and realize data models and survey

data for CAFM Photogrammetry Practical: be able to do practical work in the photogrammetric

workflow be familiar with terrestrical metric image taking as well

as standard analysis of aerial photos and their different measurement accuracies.


Recommended reading: Books: Infrastructure Information Systems: Behr, F.-J.: Strategisches GIS-Management. Wich-

mann Verlag, Heidelberg, 3rd ed., 2014 Bill, R.: Grundlagen der Geo-Informationssysteme.

Wichmann, Karlsruhe, 2010. Bill, R., Seuß, R., Schilcher, M.: Kommunale Geo-

Informationssysteme. Wichmann, Karlsruhe, 2002. Braun, H.P., Oesterle, E., Haller, P.: Facility Ma-

nagement. Springer, Berlin, 2001 DVW: Gebäudeinformationssysteme. Heft 12/1995,

Schriftenreihe des DVW, Wittwer, Stuttgart. Ganninger, J.: Aufbau und Führung eines Kanalinfor-

mationssystem. DVW-Mitteilungsheft Baden-Württemberg.

May, Michael (ed.): IT im Facility Management erfolg-reich einsetzen. Springer, Berlin, 2013.

Nävy, Jens: Facility Management. Springer, Berlin, 2012.

Zechel, Peter et.al.: Facility Management in der Pra-xis. Expert Verlag, Renningen, 2005.

ZfV, Sonderheft 24: Digitale Leitungsdokumentation. Wittwer, Stuttgart, 1990.

Photogrammetry Practical: Luhmann, T.: Nahbereichsphotogrammetrie. Heidel-

berg, 2004. Internet / Multimedia: http://www.buildingsmart.de http://www.gefma.de/ www.wvgw.de http://messdat.de/310-DIN277.pdf



GN 6430 Geographical Information Systems

Lecturers: Prof. Dr. Schaab Prof. Dr. Vetter

Type of course unit Compulsory for specialization in Geodesy


Year of study:


Third


ECTS credits: 7 cp


Courses: Geographical Information Systems

GIS Practical

Mobile GIS

Attendance:

Workload:

2 hours/week 2 hours/week self-study

30 contact hours, 30 hours of independent study 75 hours of independent study, 45 hours of guided study 20 hours of independent study, 10 hours of guided study

Prerequisite: Recommended: successful completion of modules GN 3420, GN 2420


Mode of delivery:

Lecture, excursion Lab work Project

Face-to-face


Assignments, lab work, written exam (90 min)



Course content: Geographical Information Systems: Advanced spatial

analysis: digital terrain models (interpolation, triangula-tion), cartographic modelling / map algebra (drainage operations, accumulation of costs), network analysis (shortest way, best location, round trip problem), GIS programming options, metadata and data exchange, Internet GIS (strategies, techniques, main fields of ap-plication), including reference to ESRI software

GIS Practical: Advanced exercises in: Digital Terrain Models, Hydrological Modelling, (3D Analyst, Spatial Analyst) Routing (Network Analyst), Cost Surfaces (Spatial Analyst, Model Builder), ArcGIS for Server



ESRI is used.

Mobile GIS: Development and design of mobile GIS inter-face (data model, data presentation). An interface for quick entry of technical data, using previously defined key lists (additionally programmed). Entry of topogra-phy data, using the configured mobile GIS.


Geographical Information Systems: have an advanced knowledge of GIS, know different possibilities for an advanced analysis, be qualified to solve complex spatial problems by using

GIS technology GIS Practical: be able perform advanced GIS projects, be able to apply their theoretical knowledge to practical

work Mobile GIS: understand the correlation between data modeling,

symbolization and GIS data entry


Recommended reading: Books: Bartelme, N.: Geoinformatik – Modelle, Strukturen,

Funktionen. 4th ed., Berlin, Heidelberg, New York 2005

Bill, R.: Grundlagen der Geo-Informationssysteme. 5., völlig neu bearb. Aufl., Berlin, Offenbach 2010

Bill, R., R. Seuß & M. Schilcher (eds.): Kommunale Geo-Informationssysteme. Basiswissen, Praxisberich-te und Trends. Heidelberg 2002.

BKG/IMAGI (eds.): Geoinformation und moderner Staat. Eine Informationsschrift des Interministeriellen Ausschusses für Geoinformationswesen (IMAGI). 4th ed., 2004?

Burrough, P. & R.A. McDonnell: Principles of geo-graphical information systems. Oxford, New York 1998.

Chrisman, N.: Exploring geographic information sys-tems. New York 2002

Chou, Y.-H.: Exploring spatial analysis in geographic information systems. Santa Fe (NM) 1997

ESRI: ArcGIS 9. What is ArcGIS 9.1? In: ESRI Library 9.x, What_is_ArcGIS.pdf, Kap. 4 Server GIS: ArcSDE, ArcIMS, and ArcGIS Server, pp. 59-84, 2001-2005.

Faust, T., D. Heß, A. Höhne, R. Hummel, U. Jackisch & A. Schleyer: Die Geodateninfrastruktur Baden-Württemberg im nationalen und europäischen Kon-text. In: zfv, 4/2009, Jg 134, pp. 178-200

Fu, P. & J. Sun: Web GIS. Principles and applica-tions. Redlands (CA) 2011

Peng, Z.-R. & M.-H. Tsou: Internet GIS. Distributed geographic information services for the Internet and wireless networks. Hoboken (NJ) 2003

Zeiler, M.: Modeling our world – The ESRI guide to geodatabase design. Redlands (CA) 1999

Zeiler, M.: Modeling our world – The ESRI guide to



geodatabase concepts. 2nd ed., Redlands (CA) 2010 Journals: gis.BUSINESS – Das Magazin für Geoinformation gis.SCIENCE – Die Zeitschrift für Geoinformatik International Journal of Geographical Information

Science (IJGIS) Internet / Multimedia: http://www.esri.com/what-is-gis http://training.esri.com/gateway/index.cfm (ESRI Vir-

tual Campus) http://www.gsdi.org/



GN 6440 Engineering Geodesy

Lecturers: Prof. Dr. Jäger Prof. Dr. Müller

Type of course unit: Compulsory for specialization in Geodesy


Year of study:


Third


ECTS credits: 6 cp


Courses: Route planning

Geodetic Networks

Attendance:

Workload:



Prerequisites: Recommended: successful completion of modules GN 3450, GN 4410, GN 3440, GN 4440, GN 4450


Mode of delivery:

Lecture and exercise (no more than 5 participants) Lecture and exercise (no more than 5 participants)

Face-to-face





Course content: Route planning: Route selection by using straight lines, circular arcs and transition curves.Computation and design of methods for circular arcs, compound curves, clothoid, compound transition curves, ovals and inflex-ional curves. Application of route planning elements in road construction. Individual computation of a compound curve and a compound transition curve. Route planning using a route planning program and stakeout of the route on site.

Geodetic Networks: Mathematical models of combined adjustment of GNSS and terrestrial survey measure-ments in geometry and gravity. Integrated and virtually integrated 3D modeling as well as 2D/1D adjustment approaches and correlations. Static evaluation of net adjustments. Exemplary calculations with software



packages NETZ3D and NETZCG. Planning of a free engineering network under the aspect of economic effi-ciency and according to a set of accuracy and reliability measurements. Terrestrial and GNSS-based observa-tion and complete evaluation and adjustment of a free and stochastically connected, combined engineering network (GNSS evaluations. 3D individual and com-bined adjustments. Transition of GNSS and terrestrial measurements to 2D/1D). Analysis and comparison of the results.


Route planning: know the methods for computing and designing routes, be able to apply their theoretical knowledge to practical

work be able to work in a team be able to calculate surveying costs. Geodetic Networks: be able to plan, measure, analyse, adjust and statisti-

cally evaluate combined GNSS and terrestrial engi-neering networks by means of integrated/virtually inte-grated 3D modeling and 2D/1D adjustment concept.


Recommended reading: Trassierung: Henneke, F. et al.: Handbuch Ingenieurvermessung –

Verkehrsbau – Straßenbau. Wichmann, Heidelberg. Geodätische Netze: Books: Kahmen, H. (1997): Vermessungskunde. 19. ed. Wal-

ter de Gruyter, Berlin. Illner, M. and R. Jäger (1995): Integration von GPS-

Höhen ins Landesnetze – Konzept und Realisierung im Programm HEIDI. AVN, Heft 1/95. pp. 1-17

Illner, M. and Jäger, R. (1993): Ein Konzept zur In-tegration von GPS in Verdichtungsnetze – Modellbil-dung und Ableitung von zugehörigen Genauigkeits- und Zuverlässigkeitsmaßen. ZfV 118, No. 11

Möser, M., Müller, G., Schlemmer, H. and H. Werner (2003): Handbuch der Ingenieurgeodäsie. Grundla-gen. 3rd ed. Wichmann-Verlag, Heidelberg.

Heck, B., Illner, M. and R. Jäger (1995): Deformati-onsanalyse zum Testnetz Karlsruhe auf der Basis der terrestrischen Messungen und aktueller GPS-Messungen. Festschrift Draheim-Kuntz-Mälzer. Uni-versität Karlsruhe.

Jäger, R., Müller, T., Saler, H. and R. Schwäble (2005): Klassische und robuste Ausgleichungsverfah-ren – Ein Leitfaden für Ausbildung und Praxis von Geodäten und Geoinformatikern. Wichmann-Verlag, Heidelberg. ISBN 3-87907-370-8

Internet / Multimedia http://derletztekick.com/software/netzausgleichung http://geozilla.de/software.heidiwin.php http://www.gik.kit.edu/softwareentwicklung.php



GN 6450 Positioning and Navigation


Type of course unit: Compulsory for specialization in Navigation


Year of study:


Third


ECTS credits: 6 cp


Courses: Basics of Positioning and Navigation

Integrated Navigation

Attendance:

Workload:



Prerequisites: Recommended: basic geodetic knowledge


Mode of delivery:

Lecture, practical exercises Lecture, practical exercises

Face-to-face





Course content: Basics of Positioning and Navigation: Basic aspects, methods, procedures and standards of locating and navigation. Objectives: Historic overview basic terms. Navigational status (position, speed, orientation). Ref-erence systems, transformations and display options (graticules). Overview and systems of celestial. Locat-ing concepts (dead reckoning DR, position-fixing, iner-tial navigation, self/remote positioning mode). Terres-trial navigation, satellite-based locating system and cell concepts. Basic algorithms.

Integrated navigation: demonstration of multisensor inte-grated navigation systems. Satellite navigation proce-dures and services. Positioning and orientation with GNSS. Sensors, concept and systems of inertial navi-gation. Auxiliary sensors of integrated navigation (incli-nometers, magnetometers, odometers, barometers: camera). Algorithmic concepts and sensor integration (loose/tight/deep coupling). Navigation software and



system realization using standard algorithms. Use of navigation systems. Multimodal out-/indoor navigation. Vehicle and air navigation. Route planning and vehicle guidance.


Basics of Positioning and Navigation: be familiar with the objectives and terminology know about reference systems of navigation be able to apply methods, procedures and sensors for

conventional terrestrial and celestial navigation Integrierte Navigation: know about satellite navigation procedures know about modeling, purpose and properties of multi-

sensor systems for integrated navigation be able to develop adjusted approaches and systems

for vehicle and air navigation


Recommended reading: Basics of Positioning and Navigation Hofmann-Wellenhof, B. et al.: Navigation. Springer,

Wien, New York 2003. Knickemeyer, E.T.: Einführung in die Navigation. SR

der FH Neubrandenburg, Reihe B, Band 6, Neubran-denburg 2003.

Integrierte Navigation: Hofmann-Wellenhof, B. et al.: Navigation. Springer,

Wien, New York 2003 Jekeli, C.: Inertial Navigation Systems with Geodetic

Applications. De Gruyter, Berlin, New York 2001. Mansfeld, W.: Satellitenortung und Navigation.

Vieweg, Wiesbaden 2004. Wendel, J.: Integrierte Navigationssysteme. Olden-

bourg, München 2011. Strang, G., Schubert, F., Thölert, S., R. Oberweis et

al. (2008): Lokalisierungsverfahren. DLR, Ober-pfaffenhofen.



GN 6460 Navigation Algorithms




Year of study:


Third


ECTS credits: 6 cp


Prerequisites: Recommended: successful completion of modules GN 4440, GN 4450, GN 3440, GN 6450. Knowledge of phys-ics and advanced mathematical methods, geodetic survey-ing, digital image processing.

Course: Basics of Navigation Algorithms Mathematical models of sensor fusion

Attendance:

Workload:




Mode of delivery:

Lecture Lecture, project

Face-to-face





Course content: Basics of Navigation Algorithms: Navigation status vector

and navigation reference systems (i-frame, e-frame, n-frame, p-frame, s-frame). Mathematical basics of naviga-tion algorithms. Sensor observation equations for inertial sensor components (accelerometers, gyroscopes in i-, e-and n-frame) and princile of dead reckoning. Status de-scription of general navigation status vector. Sensor cal-ibration parameters. Terrestrial magnetic field and ob-servation equations for magnetometer sensors. Earth gravity field and observation equations for inclinometers. GNSS for train control systems (GPS, GLONASS, GALI-LEO) and algorithms for i- and e-frame. GNSS signals and observation equations for absolute and relative GNSS. Problems of object georeferencing. Positioning and orientation with GNSS. General forecast model. Loose, tight and deep coupling and navigation algo-rithms. Integration of forecast and sensor observation



equations as Kalman filtering. Setup and data structures of multisensor-multiplatform design according to general, sog-called lever arm description. Overview of MEMS sensors and interfaces.

Mathematical models of sensor fusion: dealing with special cases of status descriptions (automotive mode, integra-tion of dynamic status recognition, integration of status conditions and additional info). Indoor navigation based on map matching. Orientation determination and re-duced navigation status vector. Algorithmic integration of autonomous, inertial sensor observations (accelerome-ters, gyroscopes) as well as Earth gravity field and Earth rotation model. Algorithmic integration of magnetometer sensors and terrestrial magnetic field. Integration of camera coordinate observations. Integration of barome-ter observations. Algorithmic fusion of additional auton-omous sensors (inclinometers, odometers). Description and assessment of offsets and drifts with MEMS sen-sors. Algorithmic concepts for assessment of intitial sta-tus (default, initial alignment, assessments “on the fly”). Status modeling and observation equations for non-autonomous infrastructure sensors.

Learning outcomes: After having successfully completed the course, the stu-dents should Basics of Navigation Algorithms: have the knowledge and skills to model raw data obser-

vations of GNSS and MEMS sensors with reference to geometry, inertia, gravity and terrestrial magnetic field in all navigation-relevant reference frames.

be familiar with sensor fusion for any type of platform and algorithmic concepts of precise observation equa-tions

Mathematische Modelle der Sensorfusion: based on observation equations for GNSS- and MEMS

sensor raw data, special cases of status description and the integration of additional info, be able to design multi-sensor navigation platforms and devise the correspond-ing mathematical models algorithms for sensor fusion.

be familiar with different algorithms and status assess-ments for the navigation status vector


Recommended reading: Books: Wendel, J.: Integrierte Navigationssysteme. Olden-

bourg, München 2011. Hofmann-Wellenhof, B. et al.: Navigation. Springer,

Wien, New York 2003. Böser, W., Dürrschnabel, K., Girndt, U., Hanauer, R.,

Hell, G., Jäger, R., Klein, U., Müller, T., Saler, H., Schwäble, R. and G. Schweinfurth (2012): Geomatik aktuell 2012. Präzise Navigation und Mobile Geo-datenerfassung Out- und Indoor. Karlsruher Geowis-senschaftlich Schriften Reihe B, Band 7.

Internet / Multimedia: www.navka.de



GN 6470 Geomatics Elective


Type of course unit: Compulsory; student must choose elective/s from a list to be published


Year of study:


Third


ECTS credits: 6 cp


Prerequisites: None, unless informed otherwise

Course: Geomatics elective, as published

Geodetic Seminar

Attendance:

Workload:

3 hours/week

30 contact hours, 30 hours of independent study


Mode of delivery:

Depending on elective

Face-to-face


Depending on elective Presentation (20 min)



Course content: Geomatics Elective: Depending on elective

Geodetic Seminar: 20 minute presentation by student about a geodesy-related subject in a special field which is not part of the curriculum.

Learning outcomes: After having successfully completed the course, the stu-dents should Geomatics Elective: have advanced knowledge about particular fields in

Geomatics Geodetic Seminar: be able to ability to prepare a special question by

means of technical literature present the findings to an expert audience be able to use modern presentation techniques be able to lead a discussion about the findings


Recommended reading: Will be communicated



GN 7410 Spatial Planning and Law

Lecturers: Prof. Dr. Saler Prof. Dr. Eggert Ms. Möwes Mr. Harms



Year of study:


Fourth

Seventh / winter semester

ECTS credits: 6 cp


Prerequisites: None

Course: Administrative Law and EU Law

Civil Law and Real Estate Law

Spatial Planning and Environmental Protection

Attendance:

Workload:

6 hours/week

30 contact hours, 30 hours of independent study 30 contact hours, 30 hours of independent study 25 contact hours, 30 hours of independent study, 5 hours of guided study


Mode of delivery:

Lectures, exercises

Face-to-face


Written exams (120 min, 60 min)



Course content: Administrative Law and EU Law: The fundamentals of

both administrative law and European Union law will be discussed. The basic conditions for the different action forms of an administration are pointed out and numer-ous cases are discussed. The cadastre law will be dis-cussed. At the same time, EU law is presented and the basic European aim regulations in theory and in prac-tice will be accompanied by exemplifications. In par-ticular, the primary Union law, the secondary (derived) Union law and the proceedings before the Court of Jus-tice of the European union as well as the so-called fun-damental freedoms will be discussed.

Civil Law and Real Estate Law: In the first part of the lec-ture, the development of the fundamental ideas of the German right will be introduced in particular considera-



tion of the partitioning into private and public right. Apart from a legal basic knowledge, the students will be provided with both an understanding of the legal language and an insight into the legislation technology and methods. In the second part, the practical empha-sis is placed on the material law on real estate and formal land register right. A main goal is the capability to practically handle the land register. Besides, an idea of the most important real estate transactions will be given.

Spatial Planning and Environmental Protection: The stu-dents are provided with a basic knowledge on land use planning and environmental protection in Germany both on the regional and local level. In this context, the relevance of these disciplines is pointed out with an emphasis on geo-ecological, economical and social aspects. Visualization of data and processes.

Learning outcomes: After having successfully completed the course, the stu-dents should Administrative Law and EU Law: understand the fundamentals of administrative law and

EU law; be able to interpret and apply regulations in these are-

as Civil Law and Real Estate Law: understand the fundamentals of civil law and real es-

tate law; be able to independently comprehend other regulations be able to handle small cases Spatial Planning and Environmental Protection: have an overview on the tasks of land use planning on

different spatial levels, such as cities, regions, states and continents, with regard to the conflicting aspects of transportation and traffic, environment, population and economy, and to resolve these as well as develop new strategies

be aware of the protection of nature, environment and resources,

know about environmental influences like air pollution, global warming and sealed natural ground.


Recommended reading: Books Law: BGB – Beck’sche Textausgabe. C. H. Beck, Mün-

chen. BGB. Beck-Texte im dtv. Beck, München Staats- und Verwaltungsrecht Baden-Württemberg.

C.F. Müller, Heidelberg Staats- und Verwaltungsrecht Bundesrepublik

Deutschland. C.F. Müller, Heidelberg Spatial Planning and Environmental Protection: Spitzer, H.: Einführung in die Räumliche Planung.

Stuttgart 1995 Akademie für Raumforschung und Landesplanung:

Handwörterbuch der Raumordnung. Hannover 2005 Langhagen-Rohrbach, Chr.: Raumordnung und

Raumplanung. Darmstadt 2005 Internet / Multimedia Akademie für Raumordnung und Landesplanung



(Academy for Spatial Research and Planning) – www.arl-net.de

Bundesamt für Bauwesen und Raumordnung (Feder-al Office for Building and Regional Planning) – www.bbr.bund.de

Umweltbundesamt – www.umweltbundesamt.de Bundesministerium für Umwelt, Naturschutz und Re-

aktorsicherheit (Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety) – www.bmu.de



GN 7420 Land Management

Lecturers: Prof. Dr. Saler Prof. Dr. Drixler Mr. Wiese

Type of course unit: Compulsory for specialization in Geodesy


Year of study:


Forth


ECTS credits: 5 cp


Prerequisites: Recommended: successful completion of module GN 6410

Course: Land Management and Planning

Cadastre Project

Attendance:

Workload:


60 contact hours, 60 hours of independent study 15 hours of independent study, 15 hours of guided study


Mode of delivery:

Lecture Project

Face-to-face





Course content: Land Management and Planning: Cooperation between

town planning, land division, technical municipal ad-ministration and estate appraisement. Planning regulations in Germany, tasks and principles of town planning in the German federal building code (= Baugesetzbuch), content and purpose of develop-ment plans, land use planning. Economic, legal and political significance of land own-erhsip; instruments of municipal land management; methods of official land consolidation (value measure and area scale factor), procedure of official land con-solidation; simplified reallocation process; voluntary land consolidation; urban development contracts; com-pensation measures for impact on environment and landscape. Value definitions and real estate market; market value definition; tasks of property valuation committee; data on purchasing prices, standard land values, derivation



of required data; valuation methods (comparative value method, income approach to valuation, asset value method); property market report.

Cadastre Project: preparation work for and determination of boundaries and cadastral surveys in small groups. Elaboration of surveying according to the respective, current regulations.

Learning outcomes: After having successfully completed the course, the stu-dents should Land Management and Planning: know about complex

interrelations between and common strategic objec-tives of town planning, land management, technical municipal administration and estate appraisement. Town planning: This module is aimed at imparting

knowledge of various planning types and the hier-archy of town planning in Germany. Students learn about the procedures and instruments used andas the interplay between municipal departments be-comes transparent. Students understand the sign-ficance and role of land surveyors in town plan-ning.

Land management: Based on „Basics of private real estate property rights and public construction law“, this module aims at imparting knowlege of the methods and procedures used to design lots according to location, shape and size for building use or other purposes. Students also learn about how to efficiently control and manage land devel-opment in urban and rural areas.Private and public land consolidation are compared.

Estate appraisement: In this module, students learn to describe the basics of the real estate mar-ket and the instruments that make this market transparent. They further learn how to apply valua-tion methods in order to determine the market val-ue of developed and undeveloped real estate property.

Cadastre Project: The practical determination of bounda-ries and cadastral surveys performed lay the founda-tion for a position in cadastral administration, e.g. dur-ing the internship semester. With the surveys, students learn the basics for subsequent surveying internships.


Recommended reading: Books: Land Management and Planning: Lecture notes Hartmut Dieterich. Baulandumlegung. 5th ed. Verlag

C.H. Beck, München 2006 Thomas Burmeister. Praxishandbuch Städtebauliche

Verträge. 2nd ed. dhw-Verlag, Bonn 2005 Kleiber, Wolfgang et.al. Verkehrswertermittlung von

Grundstücken unter Berücksichtigung der Im-moWertV. 6th ed. Köln 2010, Bundesanzeiger Verlag

Hangarter, Ekkehart. Bauleitplanung – Bebauungs-pläne. Werner-Verlag, Köln 2006

Cadastre Project: Lecture notes Regulations of Vermessungsverwaltung BaWü

(VwVFP, VwVLK, VwVLV)



Vermessungsgesetz (law on survey) of Baden-Württemberg

Internet / Multimedia www.lgl-bw.de www.gutachterausschuesse-online.de www.karlsruhe.de/b3/bauen/umlegung.de www.gesetze-im-

internet.de/bundesrecht/bbaug/gesamt.pdf



GN 7430 Mobile IT

Lecturers: Prof. Dr. Jäger Prof. Dr. Schwäble



Year of study:


Forth


ECTS credits: 6 cp


Prerequisites: Recommended: successful completion of modules GN 4440, GN 4450, GN 6450, GN 6460. Knowledge in pro-gramming.

Course: Basics of Mobile IT

Mobile IT – Development of Software and Systems

Attendance:

Workload:




Mode of delivery:

Lecture Lecture and project

Face-to-face





Course content: Basics of Mobile IT: Mobile IT systems and services linked

to the field of navigation – current technologies, devel-opments and market overview Operating systems (Google Android, Windows Mobile, IPhone OS), development environments, programming languages and hardware platforms Geo data and interfaces 1 (OGC, WMS, WFS) and free map servers (GreatMap, etc.) Geo data and interfaces 2 (City and building models, visualisation components) GNSS services, algorithms and interfaces (IGS-IP, NTRIP, RTCM) Navigation sensors and interfaces of mobile platforms (GNSS, gyroscope, magnetometer, accelerometer) Positioning and navigation algorithms



Communication interfaces (Mobile Internet, RFID, Bluetooth, WLAN) Hardware and software design of mobile IT systems (Server-Client services, out-/indoor navigation, mobile data collection systems)

Mobile IT – Development of software and systems for out-/indoor navigation and mobile IT Basics of app programming using Google Android (An-droid Software Stack, SDK, NDK, Core Libraries, Dalvik Virtual Machine) Implemention of a smartphone application ready to re-ceive Internet-based GNSS correction data for precise real-time positioning. Integration with a map server Implementation of a smartphone application for out-and indoor navigation using GNSS, gyroscope and magne-tometer sensors. Integration with indoor visualisation Implementation of a smartphone application for posi-tioning and orientation using GNSS, gyroscope and magnetometer sensors for navigating drones and vehi-cles.

Learning outcomes: After having successfully completed the course, the stu-dents should Basics of Mobile IT: This course provides the basic

knowledge required to develop mobile applications linked to the field of navigation, including applications for mobile data collection and for the implementation of mobile client server services using different operating systems. A focus will be on the integration with external infrastructure and navigation sensors relevant to mo-bile IT applications, including different types of naviga-tion algorithms and a representative range of different mobile IT applications (hardware, algorithm and soft-ware design). The course will enable students to de-velop mobile IT applications used in field of navigation which run on any platform and operating system.

Mobile IT – Development of Software and Systems: This course focuses on the development of a representative range of mobile clients for mobile IT navigation applica-tions for smartphones and tablet PCs as end devices. Based on the operating system Google Android apps are programmed for smartphones und tablet PCs equipped with GNSS and other navigation sensors. A mobile emulator is used during the development pro-cess. The apps are then validated in the laboratory un-der real conditions on platforms for GNSS and naviga-tion. The course will enable students to develop and implement mobile IT applications for navigation pur-poses.


Recommended reading: Books: Basics of Mobile IT Blankenbach, J. (2008): Handbuch der Mobilen

Geoinformation. H. Wichmann, Heidelberg. Wendel, J.: Integrierte Navigationssysteme. Olden-

bourg, München 2011. Hofmann-Wellenhof, B. et al.: Navigation. Springer,

Wien, New York 2003. Böser, W., Dürrschnabel, K., Girndt, U., Hanauer, R.,

Hell, G., Jäger, R., Klein, U., Müller, T., Saler, H.,



Schwäble, R. and G. Schweinfurth (2012): Geomatik aktuell 2012. Präzise Navigation und Mobile Geoda-tenerfassung Out- und Indoor. Karlsruher Geowissen-schaftlich Schriften Reihe B, Band 7.

Mobile IT – Development of Software and Systems: Abelson, H. (2011): Android-Apps – Programmierung

für Einsteiger: Mobile Anwendungen entwickeln mit App Inventor. Markt und Technik.

Koller, D. (2011): Android-Apps programmieren. Francis Verlag.

Multimedia http://developer.android.com/index.html www.markana.com/



GN 7440 Interdisciplinary Skills




Year of study:


Fourth

Seventh / winter semester, summer semester

ECTS credits: 4 cp

Language of instruction: Depending on course

Attendance:

Workload:

4 hours/week

Depending on course

Prerequisites: None


Mode of delivery:

Lecture, seminar or exercise

Face-to-face


Depending on course


n/a

Course content: Students choose a course from the General Studies pro-gram http://www.hs-karlsruhe.de/studierende/career/studiumgenerale.html which has one of the following subject matters: Economy and globalization Innovations in engineering and economy Ethics in engineering, economy and society Law in economy and engineering Entrepreneurship Self-management and communication English and international business Additional language courses with consent of the Direc-

tor of the study program

Learning outcomes: After having successfully completed the course, the stu-dents should have acquired and improved interdisciplinary key com-

petences which are nowadays among the most im-portant selection criteria to get a job


Recommended reading: Depending on course



GN BT00 Bachelor’s Thesis




Year of study:


Fourth

Seventh / winter semester, summer semester

ECTS credits: 14 cp


Courses: Bachelor’s Thesis

Bachelor’s Thesis Colloquium

Workload:

360 hours of independent study 60 hours of independent study

Prerequisites: Successful completion of almost all modules


Mode of delivery:

Individual work and will include basic literature research, system analysis, coding, documentation, and oral presen-tation

Supervision


Bachelor’s thesis


n/a

Course content: The thesis may address any subject within the field of ge-odesy, navigation, and geomatics, which will be agreed upon by the student and the advisor

Learning outcomes: The student can work on a set subject using the scientific method in a specific timeframe (4 months). The thesis will demonstrate that the student has the knowledge and abil-ity to work as an engineer. The student must work self-dependently. Only the indicat-ed resources may be used. Finally, the student will be required to orally present and defend the results in a colloquium.


Recommended reading: n/a