Universität Wien

040414 PR Statistical Consulting (2024S)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

1 MIXED Vogl
2 MIXED Scharl-Hirsch
3 Laa

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).
Registration information is available for each group.

Groups

Group 1

Vorbesprechung für alle Gruppen am FR 01.03.2024, 11.30-13.00, Ort: Hörsaal 11, Oskar-Morgenstern-Platz 1 2.Stock
Bitte melden Sie sich bis 6.3.24 bei den LehrveranstaltungsleiterInnen, falls Sie an diesem Kurs tatsächlich teilnehmen wollen!

max. 24 participants
Language: German

Lecturers

Classes

Currently no class schedule is known.

Group 2

Vorbesprechung für alle Gruppen am FR 01.03.2024, 11.30-13.00, Ort: Hörsaal 11, Oskar-Morgenstern-Platz 1 2.Stock
Bitte melden Sie sich bis 6.3.24 bei den LehrveranstaltungsleiterInnen, falls Sie an diesem Kurs tatsächlich teilnehmen wollen!

max. 24 participants
Language: German

Lecturers

Classes

Currently no class schedule is known.

Group 3

Vorbesprechung für alle Gruppen am FR 01.03.2024, 11.30-13.00, Ort: Hörsaal 11, Oskar-Morgenstern-Platz 1 2.Stock
Bitte melden Sie sich bis 6.3.24 bei den LehrveranstaltungsleiterInnen, falls Sie an diesem Kurs tatsächlich teilnehmen wollen!

max. 24 participants
Language: German

Lecturers

Classes

Currently no class schedule is known.

Information

Aims, contents and method of the course

The course aims at providing experience with the application of selected statistical analysis methods. Students will participate in real life consulting sessions and perform data analysis within current projects. Further insight in analysis methods and reporting of results will be gained through presentations of selected scientific publications.

Note: Consulting sessions are now held as Webex video-conferences. Online presence at these sessions is possible for student participants.

Assessment and permitted materials

Grading is based on three components: 1) Written summary of the problems and proposed solutions encountered in the consulting sessions, 2) Written report of the performed data analysis, 3) Presentation concerning the statistical problems and methods found in a selected scientific publication.

Minimum requirements and assessment criteria

The three components are first graded separately and the scores are then combined using weights part 1: 30%, part 2: 50%, part 3: 20%. The final grade depends on the overall score G: G<=50% Nicht Genügend, 50%87,5% Sehr Gut.

Examination topics

Reading list

Association in the course directory

Last modified: Fr 01.03.2024 16:25