260032 VU Statistical Methods of Data Analysis (2019W)
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 02.09.2019 08:00 to We 25.09.2019 23:59
- Deregistration possible until Th 31.10.2019 23:59
Details
max. 15 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
08.10.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
(Kickoff Class)
Tuesday
15.10.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
22.10.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
29.10.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
05.11.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
12.11.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
19.11.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
26.11.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
03.12.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
10.12.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 5. Stk., 1090 Wien
Tuesday
17.12.
13:15 - 16:30
Seminarraum, Zi.504-506, Währinger Straße 17, 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.
The exercises make up 60% of the final grade.
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, MaG 22, MaV 7, UF MA PHYS 01a, UF MA PHYS 01b
Last modified: Mo 07.09.2020 15:21