260014 VU Statistical Methods of Data Analysis (2021W)
Continuous assessment of course work
Labels
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).
- Registration is open from We 01.09.2021 08:00 to Mo 27.09.2021 07:00
- Deregistration possible until Fr 29.10.2021 23:59
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=ckhrRk9ZM09nWkFLWWpTNjZvbzR3QT09Warning!! 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 03.12. 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.
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-ebookThe lecture slides are available under
https://github.com/WolfgangWaltenberger/classroom/tree/master/stat2020In addition:Fahrmeir, Künstler, Pigeot, Tutz: Statistik. Springer, 2007.Sheldon M. Ross, Statistik für Ingenieure und Naturwissenschaftler. Spektrum Verlag, 2006.
https://github.com/WolfgangWaltenberger/classroom/tree/master/stat2020In 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