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260014 VU Statistical Methods of Data Analysis (2023W)
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 Mo 04.09.2023 08:00 to Mo 25.09.2023 07:00
- Deregistration possible until Fr 20.10.2023 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Friday 06.10. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 13.10. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 20.10. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 27.10. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 03.11. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 10.11. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 17.11. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 24.11. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 01.12. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 15.12. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 12.01. 13:00 - 15:30 Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
- Friday 19.01. 13:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 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
Grundlage der Vorlesung ist das Buch "Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik", siehe:http://bookboon.com/de/wahrscheinlichkeitsrechnung-und-statistik-ebookDie Vorlesungsfolien sind unter https://github.com/WolfgangWaltenberger/classroom/tree/master/stat2020 erhältlich.Ergänzend: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 15.01.2024 08:26