142.340 Statistical methods in data analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2017W, SV, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SV Special Lecture

Aim of course

The students will understand and learn how to apply the most important statistical methods in experimental data analysis.

Subject of course

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.

Additional information

First lecture on October 6, 2017.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri14:00 - 15:3006.10.2017 - 19.01.2018Sem.R. DB gelb 05 A FRÜHWIRTH
Wed14:30 - 16:0024.01.2018Sem.R. DB gelb 09 Prüfungsvorbereitung
Statistical methods in data analysis - Single appointments
DayDateTimeLocationDescription
Fri06.10.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri13.10.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri20.10.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri27.10.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri03.11.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri10.11.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri17.11.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri24.11.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri01.12.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri15.12.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri22.12.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri12.01.201814:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri19.01.201814:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Wed24.01.201814:30 - 16:00Sem.R. DB gelb 09 Prüfungsvorbereitung

Examination modalities

Oral or written examination, depending on the number of participants.

Course registration

Not necessary

Curricula

Literature

The course is based on the book "Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik" which can be downloaded from:

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

In addition:

Sheldon M. Ross, Introduction to Probability and Statistics for Engineers and Scientists, Academic Press


 

Previous knowledge

Mathematics of the first two semesters

Accompanying courses

Continuative courses

Language

German