 |
|
Module 1: Advanced Mathematics
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Advanced Mathematics |
1 |
3/2 |
5 |
Prof. Keller |
| Module coordinator |
Prof. Keller |
| Pre-requisites |
Skills in Calculus to an extend, which is usually
provided by an undergraduate mathematics course |
| Objectives |
The module aims at establishing a common level of math
skills for all students, smoothing out their individual entry levels.
The module will provide secure skills in calculus, potential theory,
theory of differential equations and Fourier analysis for later use in
the other modules of the GEOENGINE curriculum. |
| Content |
- Vector analysis
- Integral theorems
- Special functions
- Ordinary and partial differential equations
- Potential theory
|
| Teaching methods |
Classical lectures, supported by exercises. Exercises
are given as homework and the solutions have to be presented in seminar
form. The presentations will be assessed. Additional tutorials are
offered to those students, who need a stronger support. A mid-term
written test is compulsory. The students are provided a collection of
exercises with solutions for self-study. |
Assessment
- type of examination
- pre-qualifications |
-
written examination, 90 minutes (open book)
-
assessment of presentation of exercises solutions
-
mid-term test |
Weights
9(12)
2(12)
1(12) |
| Remarks |
- |
Module 2: Geomatics Methodology
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Statistical Inference |
1 |
2/1 |
10 |
Dr. Krumm |
|
Dynamic System Estimation |
1 |
2/1 |
Prof. Kleusberg |
|
Signal Processing |
1 |
2/1 |
Prof. Fritsch |
| Module coordinator |
Prof. Fritsch |
| Pre-requisites |
Elementary knowledge of mathematics
and statistical inference is expected from prior BSc programs. |
| Objectives |
This module conveys advanced skills in
statistical analysis and optimal processing of geodetic observations.
From the different module sections the student will gain deeper
knowledge and experience in the mathematical concepts of static and
dynamic modelling approaches. This enables the student to solve for a
wide range of problems in the field of network adjustments, Kalman
filtering and digital image processing. The main focus of the module
section Statistical Inference is to qualify students to independently
decide on and to implement the appropriate adjustment model dependent on
the type of application. Besides the standard adjustment approaches
special focus is laid on advanced models and kinematic applications,
which directly leads to the second module section. The Dynamic System
Estimation part will concentrate on the dynamic modelling only. Through
this module section the student will appreciate the role of dynamic
system modelling and is enabled to formulate state space vectors adopted
for specific applications. The processing of time discrete signals as
they are provided from the various geodetic sensors plays a fundamental
role within the overall measurement process. Within the module section
Signal Processing the student will get an in-depth knowledge of filter
analysis and will understand the design of signal processing systems
based on statistical approaches and estimation processes. |
| Content |
- Foundations of linear algebra and parameter estimation
- Least squares model, Gauß-Markoff model with/without
restrictions, mixed model, prediction and collocation
- Linear/linearized dynamic models
- Discrete signals, discrete convolution, discrete Fourier
transform, fast Fourier transform
- Stochastic processes and error models
- Optimal filters, recursive filter, smoothing technologies,
Kalman filtering
- Two dimensional signal processing, signal representation, 2D
filters
|
| Teaching methods |
Classical lectures supported by
multi-medial e-learning sections for self study. The theoretical part of
the module is accompanied by lab exercises, including practical
application of theory. The technical communication component is mostly
in written form. |
Assessment
- type of examination
- pre-qualifications |
- written examination, 180 minutes (closed book)
- term work Statistical Inference
- term work Dynamic System Estimation
- term work Signal Processing |
Weights
9 (12)
1 (12)
1 (12)
1 (12) |
| Remarks |
Since Statistical Inference provides
base knowledge for the second module section Dynamic System Estimation,
the first section will be taught at the beginning of the semester. The
topics related to the Dynamic System Estimation section are concentrated
within the second half of the semester then, after finishing the
Statistical Inference block. |
Module 3: Geodesy
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Satellite Geodesy |
1 |
2/1 |
3+6 |
Prof. Keller |
|
Physical Geodesy |
2 |
2/1 |
Prof. Sneeuw |
|
Map Projections & Geodetic Coordinate Systems |
2 |
2/1 |
Dr. Krumm |
| Module coordinator |
Prof. Sneeuw |
| Pre-requisites |
Knowledge of Advanced Mathematics
(Module 1) is required for module sections Physical Geodesy and Map
Projections & Coordinate Systems. |
| Objectives |
This module provides the student with
profound knowledge of classical and modern geodetic concepts. Through
the individual module sections the student will appreciate the
fundamental role of coordinate systems and coordinate frames in
geomatics engineering. The Satellite Geodesy module section enables the
student to independently judge and apply satellite geodetic techniques
for coordinate acquisition with sound knowledge of wave propagation and
error modelling. From the Physical Geodesy module section, the student
will appreciate the role of the Earth’s gravity field as a natural
reference system and will learn about spherical and ellipsoidal
approximations. The module section on Map Projections and Geodetic
Coordinate Systems provides critical skills and tools to represent and
map the Earth, and to perform datum transformations. |
| Content |
- Global vs. local, inertial vs. Earth-fixed coordinate systems,
coordinate transformations, datum transformations
- Conventional reference systems and frames, time systems
- Signal propagation
- Orbital mechanics
- Potential theory, gravitation, boundary value problems
- Gravimetry, height systems, geodynamics
- Differential geometry, representation of surface metrics,
Cauchy-Riemann deformation tensor
- Map projections (conformal, equal-area and optimal, GK, UTM)
|
| Teaching methods |
To a large extent classical lectures,
supported by lab exercises. Labs, some of which will be conducted in
small groups, consist of programming (Matlab), data processing, analysis
and technical communication of results. The technical communication
component is mostly in written form. However, all students will have to
present their work several times in seminars. The e-learning component
and available Q&A catalogues allow the students to assess their
knowledge independently. |
Assessment
- type of examination
- pre-qualifications |
- written examination, 60+120 minutes (closed book)
- term work satellite geodesy
- term work physical geodesy
- term work map projections & geodetic coordinate systems |
Weights
9 (12)
1 (12)
1 (12)
1 (12) |
| Remarks |
- |
Module 4: Data Acquisition
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Terrestrial Multisensor Data Acquisition |
1 |
2/1 |
3+6 |
Prof. Schwieger |
|
Airborne Data Acquisition |
2 |
1/1 |
Prof. Fritsch |
|
Remote Sensing |
2 |
2/1 |
Prof. Kleusberg |
| Module coordinator |
Prof. Kleusberg |
| Pre-requisites |
Knowledge of Advanced Mathematics
(Module 1) and Geomatics Methodology (Module 2) is required for module
sections Airborne Data Acquisition and Remote Sensing. |
| Objectives |
The objective of this module is to
provide the student with a thorough understanding of methods and modern
instrumentation for the acquisition of spatial data using terrestrial,
airborne and space-borne platforms. Based on the information provided in
this module, the students will be in a position for a specific task of
data acquisition at hand to evaluate the various options for the
acquisition of these data. They will be able to select either
terrestrial, airborne or space-borne methods, or an appropriate mixture
of these. For each of these methods they will have an understanding of
the parameters governing the temporal and spatial resolution, the
spatial and temporal sampling, the accuracy and the availability of the
data. |
| Content |
- Terrestrial data acquisition with multisensor systems
- Analogue and digital data registration, bus-based systems
- Synchronisation, Real-time data processing
- Graphical programming of data acquisition systems
- Analogue and digital imagery
- Image processing (interior and exterior orientation,
aerotriangulation, orthophoto generation)
- Operation of digital photogrammetric work stations
- Non-optical airborne sensors (Laser scanner, Radarsystems)
- 3D digital elevation models, virtual city models
- Physical foundations of satellite remote sensing systems
- Emission, transmission, absorption and reflection of radiation
- Capture and measurement of radiation data in sensor systems
- Transmission, storage and presentation of remote sensing data
- Modern satellite based remote sensing systems
|
| Teaching methods |
To a large extent classical lectures,
supported by lab exercises. Labs are comprised of programming, data
processing, analysis and technical communication of results. The module
section Terrestrial Data Acquisition includes an integrated project for
the acquisition, processing and analysis of a multi-sensor system.
Results of lab exercises are presented in written form and, orally, in
regularly scheduled seminars. |
Assessment
- type of examination
- pre-qualifications |
- written examination, 60+120 minutes (closed book)
- term work Terrestrial Multisensor Data Acquisition
- term work Airborne Data Acquisition
- term work Remote Sensing |
Weights
9 (12)
1 (12)
1 (12)
1 (12)) |
| Remarks |
- Excursion to the Intergraph/ZI-Imaging
facilities in Aalen |
Module 5: Representation of Geodata
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Geoinformatics |
2 |
2/1 |
5 |
Prof. Fritsch |
|
Thematic Cartography |
2 |
1/1 |
Dr. Metzner |
| Module coordinator |
Prof. Fritsch |
| Pre-requisites |
The module is based on the foundations
from Advanced Mathematics (Module 1) |
| Objectives |
Within this module the students will
understand the methods and technologies of spatial data handling,
analysis and presentation. The students will be enabled to acquire the
relevant geodata for a complex application and to perform the
appropriate geometric, topologic and thematic modelling, analysis and
presentation.
The main focus of the Geoinformatics module section is the acquisition
of geodata, its management, analysis and representation. This part will
offer students a deeper insight into the technologies of spatial data
structures, data representation schemes and methods for data analysis.
This knowledge is supplemented by topics covered in the Thematic
Cartography module section. This part of the course will convey
competence in the basics of cartography and the creation and optimal
presentation of thematic data. |
| Content |
- Geodata acquisition (methods, sources, hardware, interaction,
meaning of separate data sources)
- Data Modelling (geometric, topologic, thematic) and data
management (file systems, data base systems, data models)
- Access mechanisms for spatial data (hierarchic-static methods,
dynamic methods)
- Methods for data analysis (geometric analysis, raster analyses,
network analyses)
- Analysis for information systems requirements (focus on thematic
maps)
- Scientific cartography, cognitive maps, structure of the
geo-data market
- Techniques of homogenizing data sets (matching and merging)
- Map design, animated maps, thematic maps for individual and
public transport
|
| Teaching methods |
Classical lectures supported by
practical exercises. Parts of these exercises are performed as team work
in the computer lab, during which a large sample project is realized
from data acquisition to data analysis and up to presentation.
Additional home exercises are performed to deepen the theoretical
knowledge and to assess individual knowledge. |
Assessment
- type of examination
- pre-qualifications |
- written examination, 90 minutes (closed book)
- term work Geoinformatics
- term work Thematic Cartography |
Weights
6 (8)
1 (8)
1 (8) |
| Remarks |
- |
Module 6: Language and Culture
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Language |
1 |
180 hours |
9 |
Lecturers from the
Department of Intercultural Education |
| Module coordinator |
Dr. Herrmann |
| Pre-requisites |
Teaching level according to the
results of grading test |
| Objectives |
The module conveys a basic knowledge
about German grammar, vocabulary, regional and
cultural studies and it provides basic conversations skills. At the end
of the module the students will have acquired the following skills:
- Listening comprehension
- Reading comprehension
- Grammar
- Text production.
The content of the module is oriented at the European Reference Frame
Basic level / level A - B. |
| Content |
- Grammar and vocabulary
- Exercises in listening comprehension
- Development of strategies for reading of complex texts
- Development of competences in daily-life communication
- Intercultural problems
- Living and working in Germany
- Leisure and travelling
- Mass media
|
| Teaching methods |
Communicative tuition |
Assessment
- type of examination
- pre-qualifications |
written final examination, 180 minutes
written mid term test + oral test |
Weights
2(3)
1(3) |
| Remarks |
The module is taught in German as a
six-week compact course prior to the beginning of the first semester.
Placement is based on the results of prior Online Placement
Tests. Participation in the course requires regular presence in
the classes. Successful attendance is mandatory. An exemption is
only possible if the student can proof sufficient knowledge of
German. |
Module 7: Law
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Law |
1 |
2/0 |
3 |
Attorney Speichert |
| Module coordinator |
Attorney Speichert |
| Pre-requisites |
- |
| Objectives |
The module imparts basic features of
the contract, media and internet law. The student learns to recognize
the separate functions and business processes, their main subjects and
their duties and responsibilities. This results in a better
understanding of the role and use of information technology in
businesses across all functions. |
| Content |
This module provides the students with fundamental knowledge in distinct
areas:
- Objectives and mechanism of law, the legal system (overview),
the system of national law, the European system of law,
international law
- Contracts: General remarks, requirements for a contract in
general, terms of contract, irregularities in the performance of the
contract, types of contract, disputes, arbitration, law-suits
- The law on torts (liability): general remarks tort liability
based on fault, product liability
- Selected field of law (overview): Labour law, the law of
business associations, competition law, copyright, patent, brands
and related rights, data protection, other areas of interest (i.e.
new European legislation on e-commerce, …)
|
| Teaching methods |
Classical lectures complemented by
case studies for the deeper understanding of the theoretical outlines |
Assessment
- type of examination
- pre-qualifications |
written final examination, 90 minutes (closed book) |
Weights
1 (1) |
| Remarks |
The lecture is as a one-week compact course, typically at the end of the lecture period of the winter semester. |
Module 8: Integrated Fieldwork
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Integrated Fieldwork |
3 |
10 days |
5 |
Prof. Schwieger
Prof. Fritsch
Prof. Keller
Prof. Kleusberg
Prof. Sneeuw |
| Module coordinator |
PD Dr.
Schwieger |
| Pre-requisites |
Advanced Mathematics (Module 1),
Geomatics Methodology (Module 2), Geodesy (Module 3), Data Acquisition
(Module 4) and Representation of Geodata (Module 5). |
| Objectives |
This module is the synthesis of all
knowledge acquired in previous modules. It enables students to analyse
real-life Geomatics Engineering tasks and to solve those tasks and
problems with an engineering approaching an autonomous way. Through
carefully designed project planning students will simultaneously develop
project management and team work skills. |
| Content |
Varying topics will be dealt with; examples of the past project are
“geoid determination”, “development of a tourist information system” and
“setting out of a tunnel”. |
| Teaching methods |
The students work in a team for ten
days to realize a project on a special topic. The individual
measurement, evaluation and analysis tasks will be carried through in
small working groups. The lecturers supervise the work and guide the
students to solve occurring problems.
Before the fieldwork the students have to prepare their part of the
common project. This task comprises the presentation of a work package
as well as a task description for the colleagues.
After the fieldwork the students have to prepare a final report and to
present the results of their work package. |
Assessment
- type of examination
- pre-qualifications |
- oral examination (presentation), 20 minutes
- final written report
- preparation of fieldwork |
Weights
3 (10)
4 (10)
3 (10) |
| Remarks |
The fieldwork is realized at variable
places in the vicinity of Stuttgart. |
Module 9: Positioning and Navigation
Elective |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Satellite
Navigation |
2 |
2/1 |
10 |
Alexandra Seifert |
|
Integrated Positioning and Navigation |
2 |
2/1 |
Prof. Kleusberg |
|
Satellite Geodesy
Observation Techniques |
2 |
1/1 |
Prof. Keller |
| Module coordinator |
Prof. Kleusberg |
| Pre-requisites |
Advanced Mathematics (Module 1) and
Geomatics Methodology (Module 2) |
| Objectives |
The objective of this module is to
provide a profound knowledge of modern positioning and navigation
methods and systems, and the related equipment. The students will be
able to select from those systems a particular one, or a combination of
systems, to satisfy a given positioning or navigation requirement. They
understand the different accuracy levels achievable by utilising these
systems based on a particular selection of hardware and processing
methodology and software. They understand the tools for combining
measurements from sensors of different systems, especially in the case
of kinematic positioning and navigation. |
| Content |
- Global Navigation Satellite Systems (GPS, Glonass, Galileo)
- GNSS signal structure and signal propagation
- GNSS receiver structure and measurement techniques
- On-board navigation sensors, Inertial Measurement Units
(Strap-Down)
- Satellite Laser Ranging, Satellite Altimetry
- Satellite-to-Satellite Tracking
- Very Long Baseline Interferometry
- Sensor fusion, Kalman Filter application in positioning and
navigation
- Error estimation and control
|
| Teaching methods |
To a large extent classical lectures,
supported by lab exercises. Labs include programming exercises and the
acquisition and processing of GNSS and IMU data both in real-time and
post mission mode. Lab results are prepared in written form and are
presented to the class in seminars. |
Assessment
- type of examination
- pre-qualifications |
- written examination, 180 minutes (closed book)
- term work Satellite Navigation
- term work Integrated Positioning and Navigation
- term work Satellite Geodesy Observation Techniques |
Weights
9 (12)
1 (12)
1 (12)
1 (12) |
| Remarks |
- |
Module 10: Geo-Telematics
Elective |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Topology
and Optimization |
2 |
2/1 |
10 |
Prof. Fritsch |
|
Transport Telematics |
2 |
2/1 |
Dr. Metzner |
|
Kinematic Measurements and Positioning |
2 |
2/1 |
Prof. Schwieger |
| Module coordinator |
PD Dr. Schwieger |
| Pre-requisites |
Advanced Mathematic (Module 1),
Geomatics Methodology (Module 2) and Data Acquisition (Module 4). |
| Objectives |
The students will be able to analyse
the interaction of telematics, positioning and guidance for moving
objects. They will learn to realize algorithms for navigation, guidance
and optimization as well as to observe, model and position moving
objects.
The section Topology and Optimization deals with the regarding to
topology and guidance as well as the respective optimization algorithms.
The section Transport Telematics provides knowledge about the
interaction of information sources for applications within the
transportation sector.
The section Kinematic Measurements and Positioning deals with the
observation, modelling, positioning and controlling of moving objects. |
| Content |
- Open, closed and interrelated sets, open kernel and closed hull
- Topological gender, graph theory, guidance algorithms
- Linear and non-linear optimization
- Branch- and Bound algorithm, travelling salesman problem
- Digital road network
- Communication technologies
- Positioning and navigation systems
- Traffic management systems, computer assisted operational
control systems
- Information services for traffic, driver assistance systems
- Data acquisition and modelling of moving objects
- Robot tachymeters, kinematic sensors
- Positioning for moving objects, Kalman filter and further filter
algorithms
- Integration of kinematic measurements into control circles
|
| Teaching methods |
Classical lectures supported by
practical exercises. Additional home exercises are performed to deepen
the theoretical knowledge. A part of the practical and the home
exercises will be carried through in autonomous working groups. |
Assessment
- type of examination
- pre-qualifications |
- written examination, 180 minutes (closed book)
- term work Topology and Optimization
- term work Transport Telematics
- term work Kinematic Measurements and Positioning |
Weights
9 (12)
1 (12)
1 (12)
1 (12) |
| Remarks |
The laboratories for GIS and
engineering geodesy metrology are used for this module. |
Master Thesis
Compulsory |
| Module sections |
Semester |
Lecture/Lab |
ECTS |
Lecturers |
|
Master Thesis |
3 |
|
25 |
Prof. Fritsch
Prof. Keller
Prof. Kleusberg
Prof. Sneeuw
Prof. Schwieger |
| Module coordinator |
Director of Graduate Studies (Studiendekan) |
| Pre-requisites |
At least 45 ECTS of mandatory and
elective modules must be completed, including the corresponding
examinations. |
| Objectives |
With the Master Thesis the candidates
are to demonstrate their ability to complete and document a well defined
research project within a given time frame. |
| Content |
Tbd according to the thesis topic |
| Teaching methods |
Self-study and independent research
work. A thesis supervisor is determined for each Master Thesis. This
supervisor is available for consultations and, if necessary, guidance. |
Assessment
- type of examination
- pre-qualifications |
- Master Thesis
- Oral Presentation |
Weights
4 (5)
1 (5) |
| Remarks |
- |
| |
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