Werner Kuhn: Catalogue data in Autumn Semester 2021

Name Prof. Dr. Werner Kuhn
(Professor University of California, Santa Barbara)
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipVisiting Professor

NumberTitleECTSHoursLecturers
103-0233-10LFundamentals of GIS6 credits5GW. Kuhn
AbstractFundamentals of geographic information systems: spatial data modeling; metrics & topology; vector, raster and network data; thematic data; spatial statistics; system architectures; data quality; spatial queries and analysis; geovisualisation; spatial databases; group project with GIS software
ObjectiveKnowing theoretical aspects of geographic information regarding data acquisition, representation, analysis and visualisation.
Knowing the fundamentals of geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects.
Content- Einführung GIS & GIScience
- Konzeptionelles Modell & Datenschema
- Vektorgeometrie & Topologie
- Rastergeometrie und -algebra
- Netzwerke
- Thematische Daten
- Räumliche Statistik
- Systemarchitekturen & Interoperabilität
- Datenqualität, Unsicherheiten & Metadaten
- Räumliche Abfragen und Analysen
- Präsentation raumbezogener Daten
- Geodatenbanken
Lecture notesVorlesungspräsentationen werden digital zur Verfügung gestellt.
LiteratureBill, R. (2016). Grundlagen der Geo-Informationssysteme (6. Auflage): Wichmann.
Bartelme, N. (2005). Geoinformatik - Modelle, Strukturen, Funktionen (4. Auflage). Berlin: Springer.
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.
5 credits11RW. Kuhn
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)
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.
103-0237-00LGIS III5 credits3GW. Kuhn
AbstractThe course deals with advanced topics in GIS, such as Business aspects and Legal issues; Geostatistics; Human-Computer Interaction; Cognitive Issues in GIS; Geosensors; Spatial Data Mining and Machine Learning for GIS.
ObjectiveStudents will get a detailed overview of advanced GIS topics. They will work on a small project with geosensors in the lab and perform practical tasks relating to Geostatistics and Machine Learning.
Lecture notesLecture slides will be made available in digital form.
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.
2 credits4RW. Kuhn
AbstractThe course deals with advanced methods in spatial data analysis.
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
103-0717-AALGeoinformation Technologies and 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.
6 credits13RW. Kuhn
AbstractAdvanced geoinformation technologies and analyses methods: Mobile GIS; Web-GIS & Geo-Web-Services; Spatial Big Data; Temporal aspects in GIS; Analysis of movement data; User interfaces
ObjectiveKnowing advanced topics of geoinformation technologies (Mobile GIS and Web-GIS) and spatio-temporal analysis methods for the realization, application and operation of Web-GIS in engineering projects.
Prerequisites / NoticeIntroductory GIS course
103-0717-00LGeoinformation Technologies and Analysis6 credits5GW. Kuhn
AbstractGeoinformationstechnologien und -analysen für Fortgeschrittene: Mobile GIS; Web-GIS & Geo-Web-Services; Spatial Big Data; Zeitliche Aspekte in GIS; Analyse von Bewegungsdaten; Benutzerschnittstellen
Übungen: Web-GIS-Semesterprojekt in Gruppenarbeit
ObjectiveFortgeschrittene Geoinformationstechnologien (Mobile GIS und Web-GIS) und raum-zeitliche Analysemethoden kennen, um Projekte im Zusammenhang mit Realisierung, Nutzung und Betrieb von Web-GIS ingenieurmässig planen und implementieren zu können.
Content- Mobile GIS
- Web-GIS & Geo-Web-Services
- Spatial Big Data
- Zeitliche Aspekte in GIS
- Analyse von Bewegungsdaten
- Benutzerschnittstellen
Lecture notesVorlesungspräsentationen werden digital zur Verfügung gestellt.
LiteratureBill, R. (2016). Grundlagen der Geo-Informationssysteme (6. Auflage): Wichmann.
Bartelme, N. (2005). Geoinformatik - Modelle, Strukturen, Funktionen (4. Auflage). Berlin: Springer.
O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (2nd Edition). Wiley.
Prerequisites / NoticeGIS GZ
103-0817-00LGeomatics Seminar Restricted registration - show details 4 credits2SK. Schindler, K. W. Axhausen, A. Grêt-Regamey, L. Hurni, W. Kuhn, M. Rothacher, A. Wieser
AbstractIntroduction to general scientific working methods and skills in the core fields of geomatics. It includes a literature study, a review of one of the articles, a presentation and a report about the literature study.
ObjectiveLearn how to search for literature, how to write a scientific report, how to present scientific results, and how to critically read and review a scientific article.
ContentA list of topics for the literature study are made available at the beginning of the semester. A topic can be selected based on a moodle.
Prerequisites / NoticeAgreement with one of the responsible Professors is necessary.
103-2233-AALGIS Basics
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.
6 credits13RW. Kuhn
AbstractFundamentals in geoinformation technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software.
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.