260014 VU Statistical Methods of Data Analysis (2022W)
Continuous assessment of course work
Labels
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 Th 01.09.2022 08:00 to Mo 26.09.2022 07:00
- Deregistration possible until Fr 21.10.2022 23:59
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.
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.pdfThe lecture is based on the book "Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik", see:http://bookboon.com/de/wahrscheinlichkeitsrechnung-und-statistik-ebookIn 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