F7271 Astrophysical data processing methods

Faculty of Science
Autumn 2014
Extent and Intensity
2/1. 4 credit(s) (plus 1 credit for an exam). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Zdeněk Mikulášek, CSc. (lecturer)
Mgr. Miroslav Jagelka (seminar tutor)
Mgr. Klára Šejnová, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Zdeněk Mikulášek, CSc.
Department of Theoretical Physics and Astrophysics – Physics Section – Faculty of Science
Contact Person: prof. RNDr. Zdeněk Mikulášek, CSc.
Supplier department: Department of Theoretical Physics and Astrophysics – Physics Section – Faculty of Science
Timetable
Tue 15:00–16:50 Fs1 6/1017, Wed 14:00–14:50 Fcom,01034
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
At the end of this course the student will be able to treat astrophysical data and derive from them demanded results including their uncertainties.
Syllabus
  • The descriptive statistics and its tools, normal distribution a deflections from it. The regress analysis - regress models, the method of maximum likelihood, the least square method, linear and non-linear regression, orthogonalisation of regress models, robust regression, the bootstrap. Correlation analysis, the principal component method and its application. The analysis of time series - periodic and aperiodic processes.
Literature
    required literature
  • MIKULÁŠEK, Zdeněk and Miloslav ZEJDA. Úvod do studia proměnných hvězd (Introduction into variable star study). 1. vyd. Brno: Masarykova univerzita, 2013, 213 pp. ISBN 978-80-210-6241-2. info
Teaching methods
Lectures, excercises.
Assessment methods
Based on 'Studijní a zkušební řád Masarykovy univerzity', chapter 9, section 2 the attendance on excercises is required. Oral exam and semestral project. Lectures are non-compulsory, excercices are compulsory. The semestral project is an inavoidable requirement for the oral exam, the final mark will be set on the basis of the oral exam.
Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Autumn 2013, Autumn 2015, Autumn 2016, Autumn 2018.
  • Enrolment Statistics (Autumn 2014, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2014/F7271