Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice. Inform yourself about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

260014 VU Statistical Methods of Data Analysis (2021W)

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

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

Lectures: October 7, 14, 21, 28, November 4, 11, 18, 25, December 2, 9, 16 from 10:30 am -- 12:00pm, virtually, at https://youtube.com/WolfgangWaltenberger.

The exercises are at the given dates in Josef-Stefan-HS.

Briefing: october 7th, 10:30 a.m. in zoom: https://oeaw-ac-at.zoom.us/j/98707802867?pwd=ckhrRk9ZM09nWkFLWWpTNjZvbzR3QT09

Warning!! First exercise is already october 22nd, 2pm in Christian-Doppler-Hörsaal!!

Friday 22.10. 14:00 - 15:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 29.10. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 05.11. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 12.11. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 19.11. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 26.11. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 10.12. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 17.12. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 14.01. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
Friday 21.01. 14:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. 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 German book "Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik" serves as the base for this lecture:

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

The lecture slides are available under
https://github.com/WolfgangWaltenberger/classroom/tree/master/stat2020

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: Mo 18.10.2021 14:09