107.A24 Statistical methods of data analysis

2017W, 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.

Lecturers

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Institute

Course dates

DayTimeDateLocationDescription
Fri14:00 - 15:3006.10.2017 - 19.01.2018 Sem.R. DB gelb 05 ASame as 142.340
Statistical methods of data analysis - Single appointments
DayDateTimeLocationDescription
Fri06.10.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri13.10.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri20.10.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri27.10.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri03.11.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri10.11.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri17.11.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri24.11.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri01.12.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri15.12.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri22.12.201714:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri12.01.201814:00 - 15:30 Sem.R. DB gelb 05 ASame as 142.340
Fri19.01.201814:00 - 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 CodeSemesterPrecon.Info
No records found.

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