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.

2021W, SV, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SV Special Lecture
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to operate elementary probability calculus, to generate discrete and continuous variables, to estimate unknown parameters from random samples and to test hypotheses. Students learn to solve exercises with self-written program codes.

 

 

 

 

 

 

 

 

 

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; testing of hypotheses; linear models and regression.

 

 

 

 

 

 

 

 

 

Teaching methods

Derivation of algorithms, graphical representations, solving examples 

 

 

 

 

 

 

 

 

 

Mode of examination

Written

Additional information

The course starts on October  2020, and ends December 2020. 

Briefing takes place october 7th, 10:30 am on zoom.

The slides can be downloaded at http://www.hephy.at/user/wwaltenberger/stat2020/Folien.pdf

 The lectures will be held via a YouTube channel with live-chat, and debriefings on zoom.

 

 

 

 

 

 

 

 

 

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu10:30 - 12:0014.10.2021 - 09.12.2021 Virtuelle Vorlesungen
Statistical methods in data analysis - Single appointments
DayDateTimeLocationDescription
Thu14.10.202110:30 - 12:00 Virtuelle Vorlesungen
Thu21.10.202110:30 - 12:00 Virtuelle Vorlesungen
Thu28.10.202110:30 - 12:00 Virtuelle Vorlesungen
Thu04.11.202110:30 - 12:00 Virtuelle Vorlesungen
Thu11.11.202110:30 - 12:00 Virtuelle Vorlesungen
Thu18.11.202110:30 - 12:00 Virtuelle Vorlesungen
Thu25.11.202110:30 - 12:00 Virtuelle Vorlesungen
Thu02.12.202110:30 - 12:00 Virtuelle Vorlesungen
Thu09.12.202110:30 - 12:00 Virtuelle Vorlesungen

Examination modalities

During a written exam the lecture subjects are tested by open questions. Exam duration: 120 minutes.

 

 

 

 

 

 

 

 

 

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu - 10.02.2022written10.01.2022 20:00 - 09.02.2022 20:00TISSreguläre Prüfung

Course registration

Begin End Deregistration end
30.08.2021 00:00 26.09.2021 23:59 28.09.2021 13:00

Registration modalities

 

 
 
 
 
 

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

Language

German