Search result: Catalogue data in Spring Semester 2021

Geospatial Engineering Bachelor Information
Registration via myStudies for a thesis during spring semester until 15 Januaryt at the latest, for a thesis during autumn semester until 15 August at the latest.
Basic Courses
First Year Examinations
NumberTitleTypeECTSHoursLecturers
401-0242-00LAnalysis II Restricted registration - show details O7 credits5V + 2UM. Akveld
AbstractMathematical tools of an engineer
ObjectiveMathematics as a tool to solve engineering problems, mathematical formulation of problems in science and engineering. Basic mathematical knowledge of an engineer
ContentMulti variable calculus: gradient, directional derivative, chain rule, Taylor expansion. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, theorems of Green, Gauss and Stokes, applications in physics.
Lecture notesThe lecturer's lecture notes will be available in Moodle.
Literature- Dürrschnabel, Mathematik für Ingenieure
- M. Akveld, R. Sperb. Analysis II. vdf, 2015
- James Stewart: Multivariable Calculus, Thomson Brooks/Cole
- Papula, L.: Mathematik für Ingenieure 2, Vieweg Verlag
- Arens et al., Mathematik.
Prerequisites / NoticeAnalysis I
401-0612-00LStatistics and Probability Theory Information O5 credits3V + 1UL. Meier
AbstractEinführung in die Grundlagen der Statistik, Wahrscheinlichkeitstheorie und Modellierung von Unsicherheiten im Zusammenhang mit Entscheidungsfindungen im Ingenieurwesen. Die Schwerpunkte liegen im Erstellen wahrscheinlichkeitstheoretischer Modelle, im Testen von Hypothesen und in der Überprüfung der Modelle. Als Software wird MATLAB verwendet.
ObjectiveDas Ziel des Kurses besteht darin, den Studenten grundlegende Hilfsmittel der Statistik und Wahrscheinlichkeitstheorie näherzubringen. Stets bezogen auf den Bereich der Risikobeurteilung und Entscheidungsfindung im Ingenieurwesen liegt der Schwerpunkt in der Anwendung der Hilfsmittel und in der Argumentation, die hinter der Anwendung dieser Disziplinen steht.
ContentGrundlagen der Wahrscheinlichkeitstheorie:

Grundlagen der Mengenlehre, Definitionen von Wahrscheinlichkeit, Axiome der Wahrscheinlichkeitstheorie, Wahrscheinlichkeiten von Vereinigungen und Schnittmengen, bedingte Wahrscheinlichkeiten, Satz von Bayes.

Modellierung von Unsicherheiten:

Zufallsvariablen, diskrete und kontinuierliche Verteilungen, Momente, Verteilungsparameter, Eigenschaften des Erwartungswertes, multivariate Verteilungen, Funktionen von Zufallsvariablen, der zentrale Grenzwertsatz, typische Verteilungen im Ingenieurswesen.

Beschreibende Statistik:

Grafische Darstellungen (Histogramme, Streudiagramme, Box-Plots), numerische Kennwerte.

Schätzungen und Modellbildung:

Auswahl der Verteilungsmodelle, QQ-Plots, Parameterschätzung, Momentenmethode, Maximum-Likelihood-Methode, Vertrauensintervalle, Hypothesentests.
LiteratureL. Meier, Wahrscheinlichkeitsrechnung und Statistik: Eine Einführung für Verständnis, Intuition und Überblick, Springer, 2020
Link
252-0846-00LComputer Science II Information O4 credits2V + 2UF. Friedrich Wicker, R. Sasse
AbstractThis course provides the foundations of programming and working with data. Computer Science II particularly stresses code efficiency and provides the basis for understanding, design, and analysis of algorithms and data structures. In terms of working with data, foundations required for understanding experimental data and notation and basic concepts for machine learning are covered.
ObjectiveBased on the knowledge covered by the lecture Computer Science I, the primary educational objective of this course is the constructive knowledge of data structures and algorithms. After successfully attending the course, students have a good command of the mechanisms to construct a program in Python and to work with multidimensional data using Python libraries. Students particularly understand how an algorithmic problem can be solved with a sufficiently efficient computer program. Secondary educational objectives are formal thinking, the power of abstraction, and appropriate modeling capabilities.
ContentIntroduction of Python: from Java to Python, advanced concepts and built-in data structures in Python; parsing data, operating on data using Numpy and visualization using Matplotlib; linear regression, classification and (k-means) clustering, mathematical tools for the analysis of algorithms (asymptotic function growth, recurrence equations, recurrence trees), classical algorithmic problems (searching, selection and sorting), design paradigms for the development of algorithms (divide-and-conquer and dynamic programming), data structures for different purposes (linked lists, trees, heaps, hash-tables). The relationship and tight coupling between algorithms and data structures is illustrated with graph algorithms (traversals, topological sort, closure, shortest paths).

In general, the concepts provided in the course are motivated and illustrated with practically relevant algorithms and applications.
Exercises are carried out in Code-Expert, an online IDE and exercise management system. Programming language used in this course is Python.
Lecture notesThe slides will be available for download on the course home page.
LiteratureT. Cormen, C. Leiserson, R. Rivest, C. Stein, Introduction to Algorithms , 3rd ed., MIT Press, 2009
Prerequisites / NoticePreliminaries: course 252-0845 Computer Science or equivalent knowledge in programming. All required mathematical tools above high school level are covered, including a basic introduction to graph theory.
103-0414-10LTransport BasicsO4 credits3GA. Kouvelas, F. Corman, N. Garrick
Abstract-Introduction to the fundamentals of transportation
-Developing an understanding of the interactions between land use and transportation
-Introduction to the dynamics of transport systems: daily patterns and historical developments
Objective-Introduction to the fundamentals of transportation
-Developing an understanding of the interactions between land use and transportation
-Introduction to the dynamics of transport systems: daily patterns and historical developments
Content-Introduction to the fundamentals of transportation
-Developing an understanding of the interactions between land use and transportation
-Introduction to the dynamics of transport systems: daily patterns and historical developments
103-0132-00LGeodetic Metrology Fundamentals Restricted registration - show details O6 credits4G + 3PA. Wieser, L. Schmid
AbstractIntroduction to the most important sensors, operation and calculation methods of Geodetic Metrology
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
Assessment of precision, Introduction to variance propagation
Survey and staking-out methods
Lecture notesThe slides of the lectures will be provided as PDF (in German).
LiteratureWitte B, Sparla P (2015) Vermessungskunde und Grundlagen der Statistik für das Bauwesen. 8. Aufl., Wichmann Verlag (in German) - or subsequent edition
Prerequisites / NoticeThe subjects taught during the semester are enhanced by practical application and discussion within the field course. The field course takes place in the first week after the end of the lecture period.
Additional Basic Courses
NumberTitleTypeECTSHoursLecturers
101-0510-10LProject Work Geospatial EngineeringO4 credits8ALecturers
AbstractThis project-based course allows the students to get insights into a selected real-world challenge in Geospatial Engineering. Besides the methodical and subject related competences which the students acquire, the course aims particularly at enhancing a variety of transferable skills, above all teamwork, critical thinking and communication.
Objective-The students know the basic rules of scientific work and integrity, and apply them to their work.
-The students know and apply success factors for teamwork including team roles, team phases and reflection.
-The students know and apply the elements of critical thinking, they identify and reflect their own position within discussions.
-The students have obtained insight into a selected challenge within Geospatial Engineering and are able to share this insight with their fellow students.
ContentThe students chose one of the offered topics. They work on the topic in groups of about 4 students. The team members discuss and plan their roles, they take initiative and responsibility for the team result such that the project goals can be achieved. At the beginning of the semester there is an introduction to scientific working for all students. The groups carry out the project at least partially during times individually agreed upon by the group members. At pre-arranged times there is an exchange with the supervisors and with the other groups. The results are documented in a report and on a poster, and are presented tot he other students.
Lecture notesThere is no script.
LiteratureDocuments and literature recommendations are handed out during the semester by the supervisors, according to the chosen topic.
Prerequisites / NoticeThere are no special conditions or prerequisites.
Compulsory Courses
Examination Block 1
Offered in the Autumn Semester.
Examination Block 2
NumberTitleTypeECTSHoursLecturers
402-0044-00LPhysics IIO4 credits3V + 1UT. Esslinger
AbstractIntroduction to the concepts and tools in physics with the help of demonstration experiments: electromagnetism, optics, introduction to modern physics.
ObjectiveThe concepts and tools in physics, as well as the methods of an experimental science are taught. The student should learn to identify, communicate and solve physical problems in his/her own field of science.
ContentElectromagnetism (electric current, magnetic fields, electromagnetic induction, magnetic materials, Maxwell's equations)
Optics (light, geometrical optics, interference and diffraction)
Short introduction to quantum physics
Lecture notesThe lecture follows the book "Physik" by Paul A. Tipler.
LiteraturePaul A. Tipler and Gene Mosca
Physik
Springer Spektrum Verlag
103-0849-00LMultivariate Statistics and Machine Learning Restricted registration - show details
Number of participants limited to 40.
O4 credits4GK. Schindler
AbstractIntroduction to statistical modelling and machine learning.
ObjectiveThe goal is to familiarise students with the principles and tools of machine learning, and to enable them to apply them for practical data analysis.
Contentmultivariate probability distributions; comparison of distributions; regression; classification; model selection and cross-validation; clustering and density estimation; mixture models; neural networks
LiteratureC. Bishop: Pattern Recognition and Machine Learning, Springer 2006
T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning, Springer 2017
R. Duda, P. Hart, D. Stork: Pattern Classification, Wiley 2000
Examination Block 3
Offered in the Autumn Semester.
Elective Blocks
Geodesy and Satellite Navigation
NumberTitleTypeECTSHoursLecturers
103-0850-00LPhysical and Kinematic GeodesyW6 credits4GM. Rothacher
AbstractGravity field of the Earth, normal gravity, gravity reductions, reference surfaces and height systems, description of the gravity field by spherical harmonics functions, gravity field measurements, geoid determination, space curves and trajectories, space curves on surfaces, accelerated reference frames and moving measurement platforms, inertial navigation, Kalman filter
ObjectiveErkenntnis, dass ein erdfestes Bezugssystem ein beschleunigtes
Bezugssystem darstellt, das alle Messprozesse beeinflusst; Beherrschen der Grundlagen der physikalischen Geodäsie; Fähigkeit, mit ellipsoidischen und physikalischen Höhen umzugehen und diese zu bestimmen; Kenntnis der Methoden der Geoidbestimmung; Wissen über die Effekte, die auf einer bewegten Messplattform zu beachten sind; Grundkenntnisse in der Trägheitsnavigation und in der Kalman-Filterung
Lecture notesLecture notes are available
103-0135-01LGlobal Satellite Navigation SystemsW3 credits3GM. Rothacher
AbstractGPS, GLONASS, Galileo, COMPASS, QZSS als GNSS. Systemkomponenten, Signalstruktur, Referenz- und Zeitsysteme und Beobachtungsgleichungen. Differenzbildung, Linearkombinationen. Satellitenbahnen und -uhren, troposphärische und ionosphärische Refraktion, Antennenphasenzentren, Multipath und Messrauschen. Beobachtungsverfahren und Mehrdeutigkeitslösung. Referenzstationsnetze und Dienste.
Objective• Erlernen der theoretischen und praktischen Grundlagen
der verschiedenen GNSS
• Verstehen der wichtigsten Fehlerquellen und der unterschiedlichen
Beobachtungsverfahren
• Erkennen von Anwendungen der GNSS in der Vermessung,
Positionierung, Navigation, GIS, im Geomonitoring und
in den Erd- und Umweltwissenschaften
Content• Überblick über die verschiedenen GNSS (GPS, GLONASS, Galileo, Beidou,
QZSS und INRSS)
• Systemkomponenten, Signalstrukturen, Referenz- und Zeitsystemen und Beobachtungsgleichungen
für Pseudorange- und Phasenmessungen der GNSS
• Bildung von Differenzen und Linearkombinationen der
ursprünglichen Beobachtungen
• Fehlerquellen: Satellitenbahnen und -uhren, troposphärische und ionosphärische
Refraktion, Antennenphasenzentren, relativistische Einflüsse, Mehrwegeffekte
und Messrauschen
• Einblick in die Bedeutung der speziellen und allgemeinen Relativitätstheorie
für die GNSS
• Auswertestrategien und Beobachtungsverfahren
sowie Methoden zur Lösung der Phasenmehrdeutigkeiten
• Referenzstationsnetze und Dienste
• Viele Anwendungsbeispiele
• Praktische und rechnerische Übungen für die Erfassung
und Auswertung der GNSS-Messungen
Digitisation and 3D Modelling
NumberTitleTypeECTSHoursLecturers
103-0851-00LPhotogrammetryW6 credits4GK. Schindler
AbstractThe class conveys the basics of photogrammetry.
ObjectiveThe aim is to equip students with an in-depth understanding of the principles, methods and applications of image-based 3D measurement.
ContentBasics 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 Triangulation and surface reconstruction; bundle adjustment; recording geometry and flight planning; airborne laser-scanning
Literature- Wolfgang Foerstner and Bernahrd Wrobel: Photogrammetric Computer Vision, Springer, 2016
- Thomas Luhmann, Stuart Robson, Stephen Kyle, Jan Boehm: Close-Range Photogrammetry and 3D Imaging, De Gruyter, 3rd edition 2019
- Richard Hartley and Andrew Zisserman: Multiple View Geometry, Cambridge University Press; 2nd edition 2004
103-0274-01LImage ProcessingW3 credits2GK. Schindler, J. D. Wegner
AbstractIntroduction to basic concepts and methods of digital image processing.
Objective- Mathematical and statistical description of images
- knowledge of basic algorithms for digital image and signal processing
- familiarity with fundamental image processing operations
- selection and application of suitable computational methods for basic image processing tasks
- understanding of digital image processing as a basis for remote sensing, photogrammetry and computer vision
Content• Digitale Bilder, Signalprozessierung, Abtastung
• Geometrische Transformationen
• Farbräume
• Filterung von Bildern, Bildrestauration und -verbesserung
• Morphologische Operationen
• Punkt- und Liniendetektion
• Ähnlichkeitsmasse und Matching von Bildern
• Bildsegmentierung
• Radiometrie von Satellitenbildern
GIS and Cartography
NumberTitleTypeECTSHoursLecturers
103-0153-00LCartography IIW6 credits4GL. Hurni
AbstractTheory and mathematical basics of the cartographic visualisation of attributed geo-objects for static and interactive maps (with exercises).
ObjectiveThe course offers first computer graphics and mathematical basics and concepts of cartography. The accompanying exercises introduce further cartographic and GIS software, programming libraries for cartographic visualisation purposes. It is shown how web browsers, text editors and scripting languages can be used to develop efficient tools for cartographic data processing, design and visualisation.
ContentTopics like cartographic workflow, data capturing, data sources and legal aspects and Web map technologies:
- Introduction to QGIS, ArcGIS and OCAD
- Data sets, data types and data formats
- Analytical and visualisation processes in cartography
- Colour management and pre-press processes
- Web maps using HTML, CSS, JavaScript, SVG and Canvas 2D
- Interaction with diagrams and maps
- Libraries and APIs for cartographic applications
Lecture notesHandouts will be distributed.
LiteratureReferences will be announced.
Prerequisites / NoticeCartography Fundamentals
103-0229-00LProject GIS & CartographyW3 credits2GM. Raubal, L. Hurni
Abstract- Modelling and analysis of spatio-temporal and quantitative data using GIS tools.
- Conception and design of a thematic map using GIS tools.
Objective- Application of spatio-temporal GIS methods.
- Getting know-how of cartographic design tools for thematic maps.
- Usage of GIS functionality to design thematic maps.
ContentThe project includes the following topics and procedures:
- Structuring and processing of quantitative data (statistical data, measurements, calculated numbers) of a specific topic in a geographical context.
- Modelling and analysis of spatio-temporal and quantitative data using GIS tools.
- Conception of a visualisation of this data by diagrams, choropleths, etc.
- Preprocessing of suitable geodata for appropriate base maps.
- Design and labelling of a thematic using GIS tools.
Lecture notesHandouts will be distributed.
LiteratureReferences will be announced.
Prerequisites / NoticeGeoinformation Technologies and Analysis
Cartography II
Spatial and Environmental Planning
NumberTitleTypeECTSHoursLecturers
103-0357-00LEnvironmental PlanningW3 credits2GS.‑E. Rabe
AbstractThe lecture covers tools, methods and procedures of
Landscape and Environmental Planning developed. By means of field trips their implementation will be illustrated.
ObjectiveKnowledge of the various instruments and possibilities for the practical implementation of environmental planning.
Knowledge of the complex interactions of the instruments.
Content- forest planning
- inventories
- Intervention and compensation
- ecological network
- agricultural policy
- landscape development concepts (LEK)
- landscape conceptions
- parks
- swiss concept of landscape
- riverine zone
- natural hazards
- field trips
Lecture notes- lecture notes concerning the instruments
- Handouts
- Copies of selected literature

Download: Link
Prerequisites / NoticeAdditional information on mode of examination:
No calculators allowed
102-0516-01LEnvironmental Impact AssessmentW3 credits2GS.‑E. Rabe
AbstractFocus of the course are the method, the process and content of the Environmental Impact Assessment (EIA) as well as the legal bases and methods for compiling an environmental impact study (EIS).
Using examples, a comprehensive view of the EIA is made possible by means of excursions.
In the frame of a project the process of am EIA will be workt out by the students.
Objective- Understanding the context of spatial planning and environmental protection
- Ability to use central planning instruments and procedures for assessing the environmental impacts and risks of projects
- Ability to apply quantitative methods to assess the environmental impacts and risks of projects
- Knowledge about the process and content of an EIA
- a capacity for critical review of environmental impact assessments
Content- Nominal and functional environmental protection in Switzerland
- Instruments of environmental protection
- Need for coordination between environmental protection and spatial planning
- Environmental Protection and environmental impact assessment
- Legal basis of the EIA
- Procedure of EIA
- Content of the EIA
- Content and structure of the EIS
- Application of the impact analysis
- Monitoring and Controlling
- View regarding the strategic environmental assessment (SEA)
- Excursions projects obligated under the EEA
Lecture notesNo script. The documents for the lecture can be found for download on the homepage of the Chair of Planning of Landscape and Urban Systems.

Download: Link
Literature- Bundesamt für Umwelt 2009: UVP-Handbuch. Richtlinie des Bundes
für die Umweltverträglichkeitsprüfung. Umwelt-Vollzug Nr. 0923,
Bern. 156 S.
- Leitfäden zur UVP (werden in der Vorlesung bekannt gegben)
Prerequisites / NoticeAdditional information on mode of examination:
No calculators allowed
103-0315-04LApplied Planning for Sustainable Urban DevelopmentW3 credits2GA. Grêt-Regamey, U. Wissen Hayek
AbstractIndependent development of decision bases and preparation of concrete project documents in connection with practical spatial and environmental planning problems.
ObjectiveStudents know different GIS-based analysis techniques and methods for application in landscape and urban areas and can use them to assess sustainable land use in the planning process. The interdisciplinary skills of project management and teamwork are promoted.
ContentBy using current problems from the practice, an application-oriented task of sustainable settlement development is introduced. The systematic procedure and the choice of suitable planning and analytical methods will be learned and applied to a concrete project. The results of the analyses are used to develop proposals for solutions. Different alternatives are evaluated and discussed with selected indicators. In addition, exercises in project management and teamwork will be conducted.
Prerequisites / NoticeKnowledge of GIS is required.
Traffic Systems
NumberTitleTypeECTSHoursLecturers
101-0414-00LTransport Planning (Transportation I) Information W3 credits2GN. Garrick
AbstractThe lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts.
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.
101-0416-10LRoad Transport SystemsW3 credits2GA. Kouvelas
AbstractThe course covers road transportation technologies, network design, traffic flow theory, operations of private and public transport, management and control of intelligent transportation systems.
ObjectiveThis course gives the students an overview of topics involved in road transport systems and provides the background for Masters degree study.
Lecture notesThe lecture notes and additional handouts will be provided during the lectures.
103-0230-00LTransportation Engineering LabW6 credits2GA. Kouvelas, F. Corman, N. Garrick
AbstractThe goal is to integrate the contents of the lectures of the block “Transportation” through a joint set of exercises which will allow the students to understand how the parts come together in the design of transport systems. The exercise will be based on a Swiss city. The exercises will involve onsite work.
Objective- Diese gemeinsame Übung an Hand einer Schweizer Ortschaft dient der Vertiefung des Verständnisses der Wechselwirkungen zwischen allen Teilen des Verkehrssystems
- Die Studenten haben Gelegenheit durch die Gruppenarbeit ihre Fähigkeiten in der Zusammenarbeit zu üben
- Den entwerferischen Aufgaben wird in allen Teilen besondere Aufmerksamkeit geschenkt (Netzentwurf, Liniennetzentwurf, Knoten und Strassenentwurf, Massnahmen des Nachfragemanagements)
ContentDrei verknüpfte Übungen aus der Verkehrsplanung, Verkehrstechnik, und
dem Öffentlichen Verkehr
- Verkehrserhebungen
- Strassenraumentwurf
- Netzentwurf
- Nachfrageberechnung
- Fahrplanentwurf
- Leistungsfähigkeitsberechnungen für die Strecken und Knoten
- Bewertung
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