Search result: Catalogue data in Autumn Semester 2018

Geomatic Engineering Master Information
Course Units for Additional Admission Requirements
The courses below are only available for MSc students with additional admission requirements.
NumberTitleTypeECTSHoursLecturers
103-0115-AALGeodetic Metrology II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RA. Wieser
AbstractAdvanced topics in geodetic metrology with focus on instrumental and methodic aspects for applications with higher accuracy demands.
Learning objectiveThe students acquire enhanced knowledge regarding the operating mode, the application and the limitations of modern geodetic standard instruments. They will be able to properly select, test and apply these instruments for geodetic tasks with higher accuracy requirements. They will get acquainted with the typical workflow from the preparation of the field works to the digital or plotted plan. Finally, the students will be introduced to specific geodetic tasks related to construction and civil engineering.
Content- The geomatics workflow
- Propagation of light in the atmosphere
- The modern total station
- Terrestrial Laserscanning
- Digital levels
- Field tests
- Traverses
- Trigonometric leveling
- Precision leveling
- Route planing and transition curves
Lecture notesSlides and documents for enhanced study and further reading will be provided online.
LiteratureUren J, Price B (2010) Surveying for Engineers. 5th ed., Palgrave Macmillan.
103-0126-AALGeodetic Reference Systems
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-3 credits3RM. Meindl
AbstractFundamentals and theory of geodetic reference systems and frames. Introduction to current international systems as well as to systems for the Swiss national geodetic survey.
Learning objectiveProvision of fundamental knowledge and theory to get familiar with the applications of geodetic reference systems. Special emphasis will be placed on international global systems as well as on the systems of the Swiss national geodetic survey.
103-0132-AALGeodetic Metrology Fundamentals
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-6 credits4RA. Wieser
AbstractIntroduction to the most important sensors, operation and calculation methods of Geodetic Metrology
Learning objectiveGetting to know the most important sensors, operation and calculation methods of Geodetic Metrology
ContentOverview on the different domains of geodetic metrology
Geodetic instruments and sensors
Determination of 3D-coordinates with GNSS, total sttaion and levelling
Calculation methods of geodetic metrology
Survey and staking-out methods
Lecture notesSlides and additional material used in the associated regular course Geodätische Messtechnik GZ (in German) are provided in electronic form.
LiteratureUren J, Price B (2010) Surveying for Engineers. 5th ed., Palgrave Macmillan.
Prerequisites / NoticeThe field course is part of this lecture. Practical exercises complete the subjects taught during the semester.

If evidence of equivalent practical experience in surveying cannot be provided by the student, participation in the field course during the respective next available period (i.e. 1 week in the beginning of the summer holidays) is required.
101-0414-AALTransport Planning (Transportation I)
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-3 credits2RK. W. Axhausen
AbstractThe lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts.
Learning objectiveThe course introduces the basic theories and methods of transport planning.
ContentBasic theoretical links between transport, space and economic development; basic terminology; measurement and observation of travel behaviour; methods of the four stage approach; cost-benefit analysis.
LiteratureOrtuzar, J. de D. and L. Willumsen (2011) Modelling Transport, Wiley, Chichester.
103-0153-AALCartography II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RL. Hurni
AbstractBasic knowhow about communication with spatial information by using plans and maps, about the most important design rules and production methods for map graphics.
Learning objectiveAcquire basic knowhow about communication with spatial information by using plans and maps, about the most important design rules and production methods for map graphics. Ability to assess existing products with respect to their content-related and design quality. Ability to design proper plans and well designed legends for basic maps.
ContentDefinitions "map" and "cartography", map types, current tasks and situation of cartography, map history, spatial refernce systems, map projections, map conception and workflow planning, map design, analog and digital map production technology, prepress technology, printing technology, topographic maps, map critics.
Lecture notesWill be distributed module by module
LiteratureReferences and other materials will be distributed by the supervisors.
Prerequisites / Noticenone.
103-0184-AALHigher Geodesy
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RM. Rothacher
AbstractModern methods of Higher Geodesy. Basics of Shape of the Earth: Geoid determination and deflection of the vertical. Introduction into the most important topics: Satellite Geodesy and Navigation; Physical Geodesy and gravity field of the Earth; Astronomical Geodesy and Positioning; Mathematical Geodesy and basics of Geodynamics. Reference systems and applications in National and Global Geomatics.
Learning objectiveOverview over the entire spectrum of Higher Geodesy
103-0214-AALCartography Fundamentals Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RL. Hurni
AbstractIntroduction and basics in mathematics of geometric geo-objects in the three-dimensional space (with exercises).
Learning objectiveBasics, structures and processes in modern geovisualisation and computer graphics.
Exercises in 2D and 3D computer graphics with software from desktop publishing, GIS, and computer visualisation.
Lecture notesReferences and other materials will be distributed by the supervisors.
103-0233-AALGIS I
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-3 credits2RM. Raubal
AbstractFundamentals in geoinformation technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software.
Learning objectiveKnow the fundamentals in geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects.
ContentModelling of spatial information
Geometric and semantic models
Topology & metrics
Raster and vector models
Databases
Applications
Labs with GIS software
LiteratureWorboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd ed.). Boca Raton, FL: CRC Press.
O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (second ed.). Hoboken, New Jersey: Wiley.
103-0234-AALGIS II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RM. Raubal
AbstractAdvanced course in geoinformation technologies: conceptual and logical modelling of networks, 3D- and 4D-data and spatial processes in GIS; raster data structures and operations; mobile GIS; Internet and GIS; interoperability and data transfer; legal and technical foundations of spatial data infrastructures (SDI)
Learning objectiveStudents will be able to carry out the following phases of a GIS project: data modelling, mobile data acquisition and analysis, Web publication of data and integration of interoperable geospatial web services into a Spatial Data Infrastructure (SDI).

Students will deepen their knowledge of conceptual and logical modeling by means of the particular requirements of networks as well as 3D- and 4D-data.
LiteratureWorboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition). Boca Raton, FL: CRC Press.
Fu, P., Sun, J. (2010). Web GIS: Principles and Applications. Esri Press.
103-0253-AALGeoprocessing and Parameter Estimation
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RA. Geiger
AbstractThis course provides basic knowledge on parameter estimation and data processing. The necessary mathematical and statistical methods are developed and are applied to actual examples in geomatics.
Learning objectiveThe students are capable of analysing measurements with with appropriate methods. They can optimally extract model parameters from real measurements and are able to analyse and to retrieve additional information from time series. They understand the underlying algorithms of different geodetic analysis tools and processing methods.
103-0254-AALPhotogrammetry
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RK. Schindler
AbstractThe class conveys the basics of photogrammetry. Its aim is to equip students with an understanding of the principles, methods and applications of image-based measurement.
Learning objectiveThe aim is an understanding of the principles, methods and possible applications of photogrammetry. The course also forms the basis for more in-depth studies and self-reliant photogrammetric project work in further photogrammetry courses.
ContentThe basics of photogrammetry, its products and applications: the principle of image-based measurement; digital aerial cameras and related sensors; projective geometry; mathematical modeling, calibration and orientation of cameras; photogrammetric reconstruction of points and lines, and stereoscopy; orthophoto generation; digital photogrammetric workstations; recording geometry and flight planning
Lecture notesPhotogrammetry (slides on the web)
Literature- Kraus, K.: Photogrammetrie, Band 1: Geometrische Informationen aus Photographien und Laserscanneraufnahmen, mit Beiträgen von Peter Waldhäusl, Walter de Gruyter Verlag, Berlin, 7th edition
- Kraus, K.: Photogrammetrie, Band 2: Verfeinerte Methoden und Anwendungen, mit Beiträgen von J. Jansa und H. Kager, Walter de Gruyter Verlag, Berlin, 3rd edition
- Thomas Luhmann: Nahbereichsphotogrammetrie. Grundlagen, Methoden und Anwendungen, H. Wichmann Verlag, Karlsruhe, 2nd edition 2003
- Richard Hartley and Andrew Zisserman: Multiple View Geometry, Cambridge University Press; 2nd edition 2004
Prerequisites / NoticeRequirements: knowledge of physics, linear algebra and analytical geometry, calculus, least-squares adjustment and statistics, basic programming skills.
103-0255-AALGeodata Analysis
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-2 credits4RM. Raubal
AbstractThe course deals with advanced methods in spatial data analysis.
Learning objective- Understanding the theoretical principles in spatial data analysis.
- Understanding and using methods for spatial data analysis.
- Detecting common sources of errors in spatial data analysis.
- Advanced practical knowledge in using appropriate GIS-tools.
ContentThe course deals with advanced methods in spatial data analysis in theory as well as in practical exercises.
LiteratureMITCHELL, A., 2012, The Esri Guide to GIS Analysis - Modeling Suitability, Movement, and Interaction (3. Auflage), ESRI Press, Redlands, California
103-0274-AALImage Processing
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-3 credits2RJ. D. Wegner
AbstractThe objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing.
Learning objectiveUnderstanding core methods and algorithms in image processing and computer vision and the underlying signal processing foundations.
Applying image processing algorithms to relevant problems in photogrammetry and remote sensing.
Content- Image segmentation
The following topics will be covered in the course:
- Properties of digital images
- Signal processing/Sampling
- Image enhancement
- Image restoration: Spatial domain
- Image restoration: Fourier domain
- Color/Demosaicing
- Image compression
- Feature extraction
- Texture analysis
Lecture notesA script will be provided as PDF files on the lecture website.
LiteratureWe suggest the following textbooks for further reading:

Rafael C. Gonzalez, Richard E. Woods
Digital Image Processing
Prentice Hall International, 2008
ISBN: 013168728X

Rafael C. Gonzalez, Steven L. Eddins, Richard E. Woods:
Digital Image Processing Using MATLAB
Prentice Hall, 2003
ISBN: 0130085197
Prerequisites / NoticeThe course is accompanied by programming assignments, that need to be completed in order to pass the semester performance.
103-0313-AALSpatial Planning and Landscape Development
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RS.‑E. Rabe
AbstractThe lecture introduces into the main-features of spatial planning. Attended will be the subjects of planning as a national responsibility, instruments of spatial planning, techniques for problem solving in spatial planning and the Swiss concept for regional planning.
Learning objective- To get to know the interaction between the community and our living space and their resulting conflicts.
- Link theory and practice in spatial planning.
- To get to know instruments and facilities to process problems in spatial planning.
103-0325-AALPlanning II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4R
AbstractThe lecture imparts methodological and instrumental fundamentals for spatial planning and will be exemplified by exploring two Zurich city quarters.
Learning objectiveSpatial planning is concerned with the foresighted design of the built and un-built environment. Starting points are spatially relevant problems that need to be explored, clarified and solved. The cornerstone of the course is formed by an independent exploration by the student of two Zurich city quarters that involves investigating specific spatially relevant conditions, recognizing regularities and relevant problems.
ContentThe self-study course compromises the following readings:
Chapters of:
- Lynch, Kevin: «The Image of the City»,
- Alexander, Christopher et al.: «A Pattern Language»,
- Mikoleit, Anne and Pürckhauer, Moritz: «Urban Code», and
- «SIDAIA - Spatial and Infrastructure Development: An Integrated Approach».

The graded semester performance comprises a condensed paper to be written by the student reflecting both the literature read as well as exemplarily applying the knowledge gained from the literature by independently exploring the two city quarters.
Lecture notescf. content
Literaturecf. content
103-0435-AALLandmanagement
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits4RS.‑E. Rabe
AbstractThe lecture deals with spatial planning on the commune level with focus on the special land use management. Some of the topics are land re-allocation as an instrument of spatial planning, specific explanations for land re-allocations in rural regions and in construction zones and land marketing from the viewpoint of investors.
Learning objectiveAcquire knowledge in spatial planning and land re-allocation as an interactive process.
252-0846-AALComputer Science II Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-4 credits9RF. Friedrich Wicker
AbstractIntroduction to programming in Java. Procedural foundations of programming and outlook to object oriented programming. Variables, types, assignments, control structures (branch, loop), data structures, algorithms, line graphics, graphical user interface. Writing small programs. Working with a professional programming environment (Eclipse).
Learning objectiveThe students will be able to write simple programs and to modify existing programs.
ContentThis course offers an introduction to variables, control structures (branch, loop), algorithms and data structures, as well as an outlook to modularisation and object oriented techniques.
In the exercises students train programming skills (in the programming language JAVA). Students can solve the exercises on their own laptop or in the computer labs at ETH. The software used in this course runs on MS Windows, MacOS X and Linux.
Prerequisites / NoticePrerequisites:
252-0845-00 Computer Science I (D-BAUG)
406-0023-AALPhysics Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-7 credits15RL. Degiorgi
AbstractBasic topics in classical as well as modern physics, interplay between basic research and applications.
Learning objective
ContentElectrodynamics, Thermodynamics, Quantum physics, Waves and Oscillations, special relativity
LiteratureP.A. Tipler and G. Mosca, Physics for scientists and engineers, W.H. Freeman and Company, New York

Hans J. Paus, Physik in Experimenten und Beispielen, Carl Hanser Verlag München Wien (als unterrichtsbegleitendes und ergänzendes Lehrbuch)
406-0141-AALLinear Algebra
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-5 credits11RM. Auer
AbstractIntroduction to Linear Algebra and Numerical Analysis for Engineers. This reading course is based on chapters from the book "Introduction to Linear Algebra" by Gilbert Strang (SIAM 2009), and "A first Course in Numerical Methods" by U. Ascher and C. Greif (SIAM, 2011).
Learning objectiveTo acquire basic knowledge of Linear Algebra and some aspects of related numerical metjhods and the ability to apply basic algorithms to simple problems.
Content1 Introduction, calculations using MATLAB
2 Linear systems I
3 Linear systems II
4 Scalar- & vektorproduct
5 Basics of matrix algebra
6 Linear maps
7 Orthogonal maps
8 Trace & determinant
9 General vectorspaces
10 Metric & scalarproducts
11 Basis, basistransform & similar matrices
12 Eigenvalues & eigenvectors
13 Spectral theorem & diagonalisation
14 Repetition
LiteratureGilbert Strang, Introduction to Linear Algebra, 4th ed., SIAM & Wellesley-Cambridge Press, 2009.

U. Ascher and C. Greif, A first Course in Numerical Methods", SIAM, 2011.
Prerequisites / NoticeKnowledge of elementary calculus
406-0242-AALAnalysis II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-7 credits15RM. Akka Ginosar
AbstractMathematical tools of an engineer
Learning objectiveMathematics as a tool to solve engineering problems, mathematical formulation of problems in science and engineering. Basic mathematical knowledge of an engineers.
ContentMulti variable calculus: gradient, directional derivative, chain rule, Taylor expansion, Lagrange multipliers. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, divergence theorem, applications in physics. Ordinary differential equations.
LiteratureTextbooks in English:
- J. Stewart: Multivariable Calculus, Thomson Brooks/Cole
- V. I. Smirnov: A course of higher mathematics. Vol. II. Advanced calculus
- W. L. Briggs, L. Cochran: Calculus: Early Transcendentals: International Edition, Pearson Education

- M. Akveld, R. Sperb, Analysis II, vdf
- L. Papula: Mathematik für Ingenieure 2, Vieweg Verlag
406-0243-AALAnalysis I and II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-14 credits30RM. Akka Ginosar
AbstractMathematical tools for the engineer
Learning objectiveMathematics as a tool to solve engineering problems. Mathematical formulation of technical and scientific problems. Basic mathematical knowledge for engineers.
ContentComplex numbers.
Calculus for functions of one variable with applications.
Simple Mathematical models in engineering.

Multi variable calculus: gradient, directional derivative, chain rule, Taylor expansion, Lagrange multipliers. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, divergence theorem, applications in physics. Ordinary differential equations.
LiteratureTextbooks in English:
- J. Stewart: Calculus, Cengage Learning, 2009, ISBN 978-0-538-73365-6.
- J. Stewart: Multivariable Calculus, Thomson Brooks/Cole.
- V. I. Smirnov: A course of higher mathematics. Vol. II. Advanced calculus.
- W. L. Briggs, L. Cochran: Calculus: Early Transcendentals: International Edition, Pearson Education. ISBN 978-0-321-65193-8.
Textbooks in German:
- M. Akveld, R. Sperb: Analysis I, vdf
- M. Akveld, R. Sperb: Analysis II, vdf
- L. Papula: Mathematik für Ingenieure und Naturwissenschaftler, Vieweg Verlag
- L. Papula: Mathematik für Ingenieure 2, Vieweg Verlag
406-0603-AALStochastics (Probability and Statistics)
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-4 credits9RM. Kalisch
AbstractIntroduction to basic methods and fundamental concepts of statistics and probability theory for non-mathematicians. The concepts are presented on the basis of some descriptive examples. Learning the statistical program R for applying the acquired concepts will be a central theme.
Learning objectiveThe objective of this course is to build a solid fundament in probability and statistics. The student should understand some fundamental concepts and be able to apply these concepts to applications in the real world. Furthermore, the student should have a basic knowledge of the statistical programming language "R".
ContentFrom "Statistics for research" (online)
Ch 1: The Role of Statistics
Ch 2: Populations, Samples, and Probability Distributions
Ch 3: Binomial Distributions
Ch 6: Sampling Distribution of Averages
Ch 7: Normal Distributions
Ch 8: Student's t Distribution
Ch 9: Distributions of Two Variables

From "Introductory Statistics with R (online)"
Ch 1: Basics
Ch 2: The R Environment
Ch 3: Probability and distributions
Ch 4: Descriptive statistics and tables
Ch 5: One- and two-sample tests
Ch 6: Regression and correlation
Literature- "Statistics for research" by S. Dowdy et. al. (3rd
edition); Print ISBN: 9780471267355; Online ISBN: 9780471477433; DOI:
10.1002/0471477435
From within the ETH, this book is freely available online under:
http://onlinelibrary.wiley.com/book/10.1002/0471477435

- "Introductory Statistics with R" by Peter Dalgaard; ISBN
978-0-387-79053-4; DOI: 10.1007/978-0-387-79054-1
From within the ETH, this book is freely available online under:
http://www.springerlink.com/content/m17578/