107.A24 Statistical methods of 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, VO, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO 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

The lecture is identical with 142.340, first lecture on Oct 7, 2016.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri14:00 - 15:3007.10.2016 - 20.01.2017 Sem.R. DB gelb 05 ASame as 142.340
Statistical methods of data analysis - Single appointments
DayDateTimeLocationDescription
Fri07.10.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri14.10.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri21.10.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri28.10.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri04.11.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri11.11.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri18.11.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri25.11.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri02.12.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri09.12.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri16.12.201614:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri13.01.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri20.01.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340

Examination modalities

Oral examination, 45 min, 3 problems.

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics 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

Differential and integral calculus, elementary linear algebra

Accompanying courses

Continuative courses

Language

German