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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.

First lecture on October 6, 2017.

## 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.

Not necessary

## Curricula

Study CodeObligationSemesterPrecon.Info
066 460 Physical Energy and Measurement Engineering Mandatory elective
066 461 Technical Physics Mandatory elective
810 Technical Physics Mandatory elective

## 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

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

## Previous knowledge

Mathematics of the first two semesters

German