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During the first three semesters, students complete a total of 15 modules.
The program includes 7 mandatory modules and 8 electives, allowing students to customize their learning experience by selecting specialized courses from 3 different categories (–Geomatics, –Mapping,–Environment) that align with their individual interests and career goals in environmental monitoring and geomatics.
Explanation Compulsory modules
Compulsory |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Geodesy | WS | 3/1 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Nico Sneeuw, Prof. Dr. James Foster | |||
Objectives |
Students are able to judge the fundamental role of the gravity field and the geoid in all disciplines of geomatics engineering. They understand the pros and cons of different height systems.
Students are enabled to interpret maps and to represent the Earth using different kinds of map projections. They are capable to investigate, to evaluate and to visualize occurring distortions. They know how to deal with different kinds of reference and coordinate systems, and to perform transformations between them. |
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Content |
Elements of potential theory, gravitation and gravity, measurement principles of gravimetry, geoid determination, height systems
Basics on differential geometry of surfaces, geometry of sphere and ellipsoid-of-revolution, spherical map projections, distortion analysis, optimal map projections, UTM, deformations and deformation measures, 2D and 3D coordinate systems, datum transformation models. |
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Compulsory |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Remote Sensing | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Uwe Sörgel | |||
Objectives | Students have a complete understanding of principles and important applications of Remote Sensing. This includes the complete radiation path from the source of radiation to the detecting sensors, and the information extraction by means of image processing and machine learning methods. With respect to sensor technology the students have profound knowledge over the entire spectral range from the visible and near infrared over the thermal infrared up to the microwave domain. This comprises satellite or airborne sensors of passive or active principles, such as optical and thermal cameras or laser scanner and radar devices, respectively. | |||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Statistics & Adjustment Calculus | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr. techn.Thomas Hobiger | |||
Objectives | Students are able handle observations which are affected by random errors and use such information to estimate parameters of interest or adjust observations based on intrinsic conditions. In doing so, students are able to handle linear and non-linear functional models and are knowledgeable about the usage of the Gauss-Helmert Model. Moreover, students have sufficient skills to describe the quality of observational data, judge the precision and reliability of estimated parameters and are capable to carry our statistical tests in that respect. | |||
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Compulsory |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Geo-Monitoring | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Volker Schwieger | |||
Objectives | Students are able to understand the principle of point-wise and area-wise monitoring sensors and apply them for monitoring tasks. They know how to realize a monitoring and network and the respective deformation analysis in the congruency model. They also know to distinguish between relative and absolute deformations as well as to develop and apply area-wise deformation analyses. | |||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
German as a Foreign Language | SS / WS | Intensive Course, 5 weeks | 6 | Intensive German Course |
Module coordinator and lecturer |
Ms. Straub | |||
Objectives | Students are able to converse about everyday situations in their studies and home, read and understand simple texts, have a command of basic grammar structures, and write about life and culture in the German speaking countries. | |||
Content | The course aims to develop the four communication skills listening, speaking, reading, and writing, with an increased emphasis on conversational German. Students are exposed to everyday and professional situations. Students learn frequently used expressions related to areas of most immediate relevance. | |||
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Remarks | Type of examination: Written 120 min Pre-qualifications: Participation at laboratories, accepted homeworks |
Compulsory |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Satellite Navigation | SS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr. techn.Thomas Hobiger | |||
Objectives | Students have a complete understanding of all aspects of satellite navigationwith modern Global Navigation Satellite Systems (GNSS) like GPS or GLONASS. This understanding includes the design of orbital constellation and the description of orbits. The process from signal generation, modulation and transmission over signal propagation in the atmosphere including refraction effects up to the signal demodulation and measurement in the receiver is understood. | |||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Integrated Project | SS | Project during semester and 10 days Fieldwork | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. N. Sneeuw, Prof. J. Foster, Prof. U. Sörgel, Prof. T. Hobiger, Prof. V. Schwieger, further teachers | |||
Objectives | The students are able to apply the knowledge of the modules of semester 1 project-related on variable topics. - Additionally they know about project management, team work, scientific reporting and presentation techniques. |
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Compulsory |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Master Thesis | SS / WS | 6 months | 30 | Thesis |
Module coordinator and lecturer |
Prof. Haala, Prof. Hobiger, Prof. Schwieger, Prof. Sneeuw, Prof. Sörgel, Prof. Foster (and further teachers, according to thesis topic) | |||
Objectives | The candidates are to demonstrate their ability to complete and document a well-defined research project within a given time frame. | |||
Content | According to the thesis topic | |||
Assessment | type of examination:
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Remarks | In order to start the Master Thesis project, the student has to have at least 60 credit points (ECTS). |
Elective modules: Container Geodesy
Elective |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Geoinformatics | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Dr.-Ing. Volker Walter | |||
Objectives | The students know the technologies for the input, management, analysis and presentation of spatial data. They are able to use different standard software tools. They are able to collect, model and exchange spatial data on web-platforms. | |||
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Elective |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Geo-Mobility | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Dr.-Ing. Li Zhang | |||
Objectives | The students know about the requirements of the transportation sector as well as the interaction of different information sources and communication possibilities for transportation applications. They know how to implement algorithms to match positions on the digital road network and estimate the respective quality. |
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Elective |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Terrestrial Multisensor Systems | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Volker Schwieger, Dr.-Ing. Li Zhang | |||
Objectives | Based on the information provided in this module, the students are able to build up a terrestrial multi-sensor system using graphical programming. They understand the different sensors, especially the multi-sensor system “robot tachymeter” and their interaction as well as their handling within the system. The integration of vehicle models into filtering and closed loop systems belongs to the competencies of the students as well. | |||
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Elective |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Environmental Cartography | SS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Dr.-Ing. Martin Metzner | |||
Objectives |
On completion of the module, students will be able to
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Elective |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Satellite Geodesy | SS | 3/1 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Nico Sneeuw, Prof. Dr. James Foster | |||
Objectives | The module aims at an understanding of the interplay between geodetic space-observation techniques, the related reference systems and the error sources degrading the observations. The students will learn to apply and assess space techniques for position acquisition with a sound knowledge of the available techniques of error mitigation. | |||
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Elective modules: Container: Mapping
Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Pattern Recognition | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Uwe Sörgel | |||
Objectives | Within this module, the students will understand the automated methods and technologies of pattern recognition with focus on automatedimage analysis. The students will be able to deal with the entire processing chain from images processing over features extraction to high level inference. The latter can be done either by statistical machine learning (probabilistic and non-probabilistic) or model-based approaches.They yield pro-found knowledge of generative as well discriminative approaches. special attention is paid to Deep Learning approaches like CNN as well as to graphical models. | |||
Content |
Visual perception of humans, image acquisition and processing, scale |
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Assessment |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Space Geod.-Atm. Water Vapor | WS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr. James Foster | |||
Objectives | Students will understand the theoretical and practical grounding to measure the atmospheric water vapor content utilizing terrestrial and satellite geodetic data, The impact of atmospheric water vapor on radio wave propagation is one of the biggest sources of error for space geodetic positioning. By flipping this problem into one where we use the space geodetic measurements to estimate water vapor content we can transform our geodetic “noise” into valuable sources of meteorological observations. Students will be introduced to the theoretical basis for the retrieval of water vapor content from radio wave signals, and given an overview of evolving research efforts to extract ever more detailed water vapor information from our space geodetic sensing data. They will then investigate the particular characteristics of estimates from different geodetic techniques and the ways in which these estimates can be employed for meteorological and climatological monitoring. |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Computer Vision for 3D Mapping | SS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Norbert Haala, Dr.-Ing. Michael Cramer | |||
Objectives | Within this module, the students will understand the automated methods and technologies of computer vision for image based 3D reconstruction | |||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Hydrogeodesy | SS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Dr.-Ing. Mohammad Tourian | |||
This course offers students an exploration of the intricate dynamics of the global water cycle through the utilization of both terrestrial and satellite geodetic data. These data sources encompass geometric and gravimetric measurements. Through hands-on engagement with satellite data, students will gain a comprehensive understanding of how satellite missions operate to assess changes in water storage and the distribution of surface water. Moreover, this course will empower students to effectively recognize the pivotal role of geodesy in ongoing scientific discussions surrounding climate change. They will also appreciate its broader applications in monitoring the Earth system as a whole. By the end of this lecture, students will have acquired the knowledge and skills needed to navigate the complexities of the global water cycle and grasp the profound significance of geodesy in addressing critical environmental challenges | ||||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Mapping from Space | SS | 2/2 | 6 | Lecture Lab |
Module coordinator and lecturer |
Dr.-Ing. Michael Cramer | |||
Students will gain knowledge of applications of different satellite imagery, image classification techniques and image analysis and interpretation. | ||||
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Elective modules: Container: Environment
Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Regional and Urban Planning I | WS | 4/0 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Jörn Birkmann, Prof. Dr. Astrid Ley, Dr. Marvin Ravan |
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The students understand the major challenges, objectives, strategies and instruments in spatial planning and urban development in Europe as well as in developing and countries intransition. The students are acquainted with the legal framework of comprehensive and sector planning and know the capabilities and limits of public planning as "positive" and "negative" planning. |
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Content | The course Regional Planning I covers the following topics: • International Planning studies • Overview on current planning issues • Basic Terms of Spatial Planning • Strategies in Spatial Planning • Instruments of Spatial Planning • Environmental and demographic challanges in planning • Performance of Plans, and Assessing Plans The course Urban Planning I provides an overview on the origin of planned urban development, starting in Greece and the Roman Empire, passing through all important periods up to the 21st century. The second part introduces urbanisation processes in third world countries, planned and unplanned urban conglomerations, including Mega Cities and Global Cities |
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Structural Engineering of Hydraulic Structures | WS | 5/0 | 6 | Lecture Lab |
Module coordinator and lecturer |
Dr.-Ing. Kristina Terheiden, Dr.-Ing. Hans-Peter Koschitzky | |||
Students know basics of structural design, restoration and monitoring of hydraulic structures e.g. (reinforced) concrete or block masonry structures in theory and for practical applications. Furthermore, they are able to select and design hydraulic gates and for several purposes. | ||||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Integrated Watershed Modeling | SS | 4/0 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr. Sergey Oladyshkin | |||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Stochastical Modelling & Geostatistics | SS | 4/0 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Wolfgang Nowak, Prof. Dr.-Ing András Bárdossy | |||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Modelling of Hydrosystems | SS | 5/0 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Rainer Helmig, Martin Schneider, Prof. Dr. rer. nat. Bernd Flemisch | |||
Students can select suitable numerical methods for solving problems from fluid mechanics and have basic knowledge of implementing a numerical model in C. | ||||
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Course | Semester | SWS Lecture/Lab | Credit Points (ECTS) | Course Numbers |
Geohydrologie and Geoengineering | SS | 4/0 | 6 | Lecture Lab |
Module coordinator and lecturer |
Prof. Dr.-Ing. Christian Moormann | |||
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