Universität Wien
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260032 VU Statistical Methods of Data Analysis (2019W)

5.00 ECTS (3.00 SWS), SPL 26 - Physik
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 08.10. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien (Kickoff Class)
  • Tuesday 15.10. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 22.10. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 29.10. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 05.11. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 12.11. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 19.11. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 26.11. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 03.12. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 10.12. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
  • Tuesday 17.12. 13:15 - 16:30 Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien

Information

Aims, contents and method of the course

The students will understand and learn how to apply the most important statistical methods in experimental data analysis.

Elementary introduction to probability; Bayes' theorem; counting experimants, discrete random variables; measurement experiments and continuous random variables; random samples and sample statistics; and their properties; moment estimators, maximum likelihood estimators, bayes estimators; confidence intervals and credible intervals; linear models and regression.

Assessment and permitted materials

Weekly blackboard and programming exercises. In addition, there will be an oral or written examination at the end of the semester, depending on the number of participants.
The exercises make up 60% of the final grade.

Minimum requirements and assessment criteria

Mathematics of the first two semesters

Examination topics

The content of the book "Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik"

http://bookboon.com/de/wahrscheinlichkeitsrechnung-und-statistik-ebook

Reading list

The slides can be downloaded at http://www.hephy.at/user/wwaltenberger/stat2019/Folien.pdf

The lecture is based on the book "Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik", see:

http://bookboon.com/de/wahrscheinlichkeitsrechnung-und-statistik-ebook

In addition:

Fahrmeir,Künstler,Pigeot,Tutz: Statistik. Springer, 2007.

Sheldon M. Ross, Statistik für Ingenieure und Naturwissenschaftler. Spektrum Verlag, 2006.

Association in the course directory

M-VAF A 2, M-VAF B, MaG 22, MaV 7, UF MA PHYS 01a, UF MA PHYS 01b

Last modified: Mo 07.09.2020 15:21