FYBANP0007 Observational data processing/

Institute of physics in Opava
summer 2024
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
Timetable
Wed 15:35–17:10 B4
  • Timetable of Seminar Groups:
FYBANP0007/A: Wed 17:15–18:00 B4, K. Klimovičová
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
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
Study Materials
The course is taught annually.
The course is also listed under the following terms summer 2021, summer 2022, summer 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fu/summer2024/FYBANP0007