Universität Wien FIND

260014 VU Statistical Methods of Data Analysis (2022W)

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

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: English

Lecturers

Classes (iCal) - next class is marked with N

Attention: the lecture will held in German!

Briefing oct 4th 2022, at 2pm on zoom:
https://oeaw-ac-at.zoom.us/my/walten?pwd=STUzalYySTJYWlh4MzZlUmFwcG1mZz09

Friday 14.10. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 21.10. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 28.10. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 04.11. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 11.11. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 18.11. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 25.11. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 02.12. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 09.12. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 16.12. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 13.01. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Friday 20.01. 10:30 - 13:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 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.
Lecture + exercises are in German. However, given enough popular demand, one of the exercise groups may switch to English.

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, UF MA PHYS 01a, UF MA PHYS 01b

Last modified: We 16.11.2022 11:09