Universität Wien

040771 UK Case Studies in Statistics (2020W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

voraussichtlicher Beginn Ende November (Freitag)
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Preliminary discussion and introduction on October 2nd, if the number of participants allows it, personally in seminar room 14 Oskar-Morgenstern-Platz 1 2nd floor 02.312.

Personal exchange is very important for the course (keyword: presentation and discussion of the results). The aim is to hold as many appointments as possible together (compulsory attendance!), But not all appointments as face-to-face appointments at the university.

The mode of presence at the other appointments will be clarified at this appointment.

  • Friday 02.10. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 09.10. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 16.10. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 23.10. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 30.10. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 06.11. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 13.11. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 20.11. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 27.11. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 04.12. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 11.12. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 18.12. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 08.01. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 15.01. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 22.01. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 29.01. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

How does statistical data analysis look like in practice?

This question is investigated using case studies. We will examine the following topics:

Corporate Reporting
Revenue Management
Marketing
White-collar crime (fraud detection)

If necessary, a theoretical introduction will be given.

On the basis of data, most of which comes from practice, analyzes are designed, carried out, reports created and the results discussed together.

You should be familiar with the various forms of regression and the use of analysis software such as R, SPSS, SAS or similar. You should have access to your favorite Analysis Software.

Assessment and permitted materials

Project: data analysis, reporting and presentation of the results
Participation in the presentations of the others
Number of questions asked
If necessary Test

Minimum requirements and assessment criteria

50% Project
30% Participation and therefore presence
20% Rest

To be positive >= 60%

Examination topics

Reading list

Charts

Association in the course directory

Last modified: Mo 28.09.2020 13:08