Universität Wien

260014 VU Statistical Methods of Data Analysis (2020W)

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

The lecture will be held via a youtube channel, see http://youtube.com/WolfgangWaltenberger, with the possibility of asking questions in the parallel ZOOM meeting. The exercises will also be held via zoom meetings.

  • Thursday 08.10. 10:30 - 12:00 Digital
  • Friday 09.10. 13:00 - 14:30 Digital
  • Thursday 15.10. 10:30 - 12:00 Digital
  • Friday 16.10. 13:00 - 14:30 Digital
  • Thursday 22.10. 10:30 - 12:00 Digital
  • Friday 23.10. 13:00 - 14:30 Digital
  • Thursday 29.10. 10:30 - 12:00 Digital
  • Friday 30.10. 13:00 - 14:30 Digital
  • Thursday 05.11. 10:30 - 12:00 Digital
  • Friday 06.11. 13:00 - 14:30 Digital
  • Thursday 12.11. 10:30 - 12:00 Digital
  • Friday 13.11. 13:00 - 14:30 Digital
  • Thursday 19.11. 10:30 - 12:00 Digital
  • Friday 20.11. 13:00 - 14:30 Digital
  • Thursday 26.11. 10:30 - 12:00 Digital
  • Friday 27.11. 13:00 - 14:30 Digital
  • Thursday 03.12. 10:30 - 12:00 Digital
  • Friday 04.12. 13:00 - 14:30 Digital
  • Thursday 10.12. 10:30 - 12:00 Digital
  • Friday 11.12. 13:00 - 14:30 Digital
  • Thursday 17.12. 10:30 - 12:00 Digital
  • Friday 18.12. 13:00 - 14:30 Digital
  • Thursday 07.01. 10:30 - 12:00 Digital
  • Friday 08.01. 13:00 - 14:30 Digital
  • Thursday 14.01. 10:30 - 12:00 Digital
  • Friday 15.01. 13:00 - 14:30 Digital
  • Thursday 21.01. 10:30 - 12:00 Digital
  • Friday 22.01. 13:00 - 14:30 Digital

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 lecture is based on

"Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik", see:

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

The slides can be downloaded from http://www.hephy.at/user/wwaltenberger/stat2020/Folien.pdf

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: Fr 12.05.2023 00:21