Fundamentals of geoinformation technologies: spatial data modeling, metrics & topology, vector and raster data, thematic data, spatial queries and analysis, spatial databases; lab sessions with GIS software

Fundamentals in geo information technologies for the realization, application and operation of geographic information systems (GIS) in engineering projects; planning, implementing and leading GIS-related projects; database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with professional GIS software

Fundamentals in geo information technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with professional GIS software.

Advanced geo information technologies; conceptual and logical modeling; raster data structures and operations; three-dimensional models; interoperability and data transfer; data analysis and general applications of spatial information

Independent study project with novel geoinformation technologies. Information on past projects:http://gis-lab.ethz.ch/

Field course with practical geodetic projects (3 weeks)

Independent scientific work in one of the geomatics disciplines; discipline can be chosen

No description available.

Introduction 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.

Fundamentals of geomatics sciences; surveying technologies (instruments, methods); introduction to remote sensing and fundamentals in cartography with application examples and practical work; reference systems, software products (e.g. Military Analysis, PCMap)

Grundlagen zur Transformation von GIS-Daten

Fundamentals in applied statistics; adjustment principle; recognizing adjustment problems; numerical solutions based on the least-squares method; mathematic modeling of engineering problems and interpreting their results; application of methods in engineering, especially in surveying; application of professional software, predicting methods; theory of reliability in geodesy

Statistical evaluation of adjustments' results; application of statistical methods for quality assurance of measuring disposition and results; different models of adjustment; adjustment of heterogeneous measurements; estimation of variance components; methods of multivariate statistics

Solving geodetic real-world engineering problems with methods of parameter estimation; choosing adequate mathematical models, implementation and assessment of the solutions.

No description available.

Semester Thesis in GIS, Geo Information Technologies and Geodesy Autonomous project work in the above mentioned disciplines; total effort of about 150 working hours