Data analysis in engineering surveying

Course guarantor:

Martin Štroner

Lecturer:

Martin Štroner

Tutor:

Supervisor:

Department of Special Geodesy

Synopsis:

The content is the processing, simulation or modeling of data especially from the survey of engineering geodesy. The course is focused on software tools and possibilities of processing, analysis and statistical evaluation of the measured data. It is assumed to understand and use advanced mathematical algorithms, using the least squares adjustment or other solution methods.

Within the course, concrete solved tasks are related to the topic of the dissertation, usually with the requirement of a functional software output or script.

Requirements:

no

Syllabus of lectures:

Lectures and exercises do not take place in a standard form, due to the number of students the course is implemented in a consultative form with the preparation of a term paper.

Syllabus of tutorials:

Study Objective:

Study materials:

References:

[1] Koch, K. R.: Parameter Estimation and Hypothesis Testing in Linear Models. Springer Verlag, Berlin Heidelberg New York, 1999. ISBN 3-5406525-74.

[2] Kubáček, L.: Multivariate Statistical Models Revisited. Olomouc: Univerzita Palackého, 2008. ISBN 978-80-244-2212-1

[3] Dermanis, A. – Grün, A. – Sansò, F.: Geomatic Methods for the Analysis of Data in the Earth Sciences. Springer-Verlag Berlin Heidelberg, 2000, ISBN 978-3-540-67476-4.

[4] Press, W. H. et al.: Numerical Recipes (3rd Edition). Cambridge University Press, Cambridge, United Kingdom, 2007.

[5] Wolf, P. R. – Ghilani, Ch. D.: Adjustment Computations: Statistics and Least Squares in Surveying and GIS. Wiley-Interscience; 1997. ISBN 978-0471168331.

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans: