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.

2016W, 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

Descriptive statistics; elementary introduction to probability; discrete and continuous random variables and their properties; estimation of unknown parameters from random samples; confidence intervals; statistical testing of hypotheses; introduction into Bayesian statistics; linear models and regression.

Additional information

First lecture on October 7, 2016.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri14:00 - 15:3007.10.2016 - 20.01.2017Sem.R. DB gelb 05 A FRÜHWIRTH
Wed14:30 - 16:0025.01.2017Sem.R. DB gelb 09 Prüfungsvorbereitung
Statistical methods in data analysis - Single appointments
DayDateTimeLocationDescription
Fri07.10.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri14.10.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri21.10.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri28.10.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri04.11.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri11.11.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri18.11.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri25.11.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri02.12.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri09.12.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri16.12.201614:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri13.01.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Fri20.01.201714:00 - 15:30Sem.R. DB gelb 05 A FRÜHWIRTH
Wed25.01.201714:30 - 16:00Sem.R. DB gelb 09 Prüfungsvorbereitung

Examination modalities

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

Course registration

Not necessary

Curricula

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

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