FU:FYBANP0007 Observational data processing/ - Course Information
FYBANP0007 Observational data processing/
Institute of physics in Opavasummer 2025
- Extent and Intensity
- 2/1/0. 4 credit(s). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Kateřina Klimovičová, Ph.D. (lecturer)
doc. RNDr. Gabriel Török, Ph.D. (lecturer)
RNDr. Kateřina Klimovičová, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Gabriel Török, Ph.D.
Institute of physics in Opava - Prerequisites (in Czech)
- (FAKULTA(FU) && TYP_STUDIA(B))
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Astrophysics (programme FU, FYZB)
- Astronomy and popularization (programme FU, FYZB)
- Course objectives
- The subject acquaints students with fundamentals of observational data processing
- Learning outcomes
- Upon successful completion of the course, the student will: • Understand the basic concepts of data processing • Master the basic tools for observational data processing • Be able to process simple scientific data
- Syllabus
- Typical problems of data analysis
- Probability
- Random numbers
- Distributions
- Samples
- Testing statistical hypotheses
- Maximum likelihood method
- Least squares method
- Literature
- recommended literature
- Brandt, Siegmund. Data analysis: statistical and computational methods for scientists and engineers. New York: Springer-Verlag, 1998. ISBN 0-387-98498-4. info
- Press, W. H., Teukolsky, S. A., Vetterling, W. T., Flannery, B. Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, Cambridge, 1997. ISBN 0-521-43108-5. URL info
- K. Rektorys a spolupracovníci. Přehled užité matematiky. SNTL, Praha, 1968. info
- Teaching methods
- lecture and discussion, exercises
- Assessment methods
- defense of the projec
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (summer 2025, recent)
- Permalink: https://is.slu.cz/course/fu/summer2025/FYBANP0007