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Lecturer(s)
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Aubrecht Jan, prof. Ing. PhD
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Course content
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Brief history and structure of geodesy, its links to other scientific disciplines. International Association of Geodesy and its structure. Mathematics in geodesy. Geodetic coordinate systems and their realization. Methods of geodetic positioning. Methods and instrumentation of space and satellite geodesy. Earth's gravity field and rotation. Newton's gravitational laws. Intensity and potential of the gravitational field. Equipotential surfaces, geoid, quasigeoid and telluroid. Physical heights. Gravity effects on geodetic observations. Temporal variations of the gravitational field. Normal gravity field. Anomalous and disturbing gravity parameters. Determination of gravity field parameters from gravity observations. Poisson's and Laplace's differential equations. Green's equations and integrals. Boundary and initial-value problems of the potential theory and their solution. Harmonic functions and their representation. Ground and airborne gravimetry. Relative and absolute gravity observations. Gravity networks, maps and databases. Forward modeling. Terrain reductions and theory of isostasy. Spectral methods in gravity field description. Satellite methods of gravity field mapping.
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Learning activities and teaching methods
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Laboratory work, Self-study of literature, Textual studies, Lecture, Practicum
- Contact hours
- 26 hours per semester
- Practical training (number of hours)
- 26 hours per semester
- Preparation for formative assessments (2-20)
- 10 hours per semester
- Preparation for comprehensive test (10-40)
- 20 hours per semester
- Preparation for an examination (30-60)
- 40 hours per semester
- Preparation for laboratory testing; outcome analysis (1-8)
- 8 hours per semester
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| prerequisite |
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| Knowledge |
|---|
| to explain fundamentals of land surveying |
| to explain fundamentals of the adjustment calculus |
| to explain fundamentals of the mathematical analysis |
| to explain fundamentals of algebra |
| to explain fundamentals of goniometry |
| Skills |
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| to derive an uncertainty of observable |
| programming at the beginner level |
| to make a plot or a map |
| to interpret results and their uncertainties |
| Competences |
|---|
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
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| to resolve among data processing methods and apply them |
| critically assess the results of processing |
| Skills |
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| to practically process observables in geodesy |
| to practically realise the variance-covariance law |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Practicum |
| Task-based study method |
| Skills |
|---|
| Practicum |
| Task-based study method |
| Competences |
|---|
| Lecture |
| Practicum |
| Task-based study method |
| assessment methods |
|---|
| Knowledge |
|---|
| Oral exam |
| Written exam |
| Combined exam |
| Test |
| Skills |
|---|
| Oral exam |
| Written exam |
| Combined exam |
| Test |
| Competences |
|---|
| Oral exam |
| Written exam |
| Combined exam |
| Test |
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Recommended literature
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K-R. Koch. Parameter estimation and hypothesis testing in linear models. Springer, Berlin, 1999. ISBN 3-540-65257-4.
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M. Hampacher, M. Štroner. Zpracování a analýza měření v inženýrské geodázii. ČVUT, Praha, 2011. ISBN 978-80-01-04900-6.
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P. J. G. Teunissen. Adjustment Theory: an introduction. VSSD, 2000. ISBN 978-9040719745.
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P. J. G. Teunissen. Network Quality Control. VSSD, 2009. ISBN 978-9071301988.
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P. J. G. Teunissen. Testing Theory: an introduction. VSSD, 2009. ISBN 978-9040719745.
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