Michael Meindl: Catalogue data in Autumn Semester 2018

Name Dr. Michael Meindl
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
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.
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.
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.
103-0126-00LGeodetic Reference Systems3 credits2GM. 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.
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.
ContentVarious coordinate systems and transformations;
reference systems and frames (inertial, Earth-fixed, topocentric) and associated transformations between the systems;
introduction to Earth rotation theory;
time systems;
Swiss national geodetic survey
Lecture notesScript will be provided electronically as pdf file.
Prerequisites / NoticeIf possible, a field trip to the geodetic fundamental station Zimmerwald (Bern) will be offered.
103-0253-00LGeoprocessing and Parameter Estimation5 credits4GA. Geiger, M. Meindl
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.
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.
ContentMathematical modeling of engineering problems, general adjustment, minimization principles, propagation of variances, uncertainty of measurements, dealing with heterogeneous measurement types, linear/non linear regression, autocorrelation and colocation
Lecture notesParameterestimation and Adjustment
Michael Meindl, Alain Geiger, Philippe Limpach
General Adjustment and Collocation
Alain Geiger
Prerequisites / NoticeLinear Algebra, Statistics