Universität Wien

040195 KU Data Analysis on Organization and Personnel (MA) (2024W)

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

service email address: opim.bda@univie.ac.at
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. 24 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 03.10. 09:45 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 04.10. 09:45 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 31.10. 09:45 - 14:40 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 05.11. 09:45 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 24.01. 14:15 - 15:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock

Information

Aims, contents and method of the course

Summary: This course introduces students to multivariate statistics for analyzing data in human resources, economics, and related disciplines.
The aim of this course is to provide participants with an understanding of the quantitative research process from hypotheses development to testing the hypotheses with the appropriate statistical methods.

Goal: Upon completion of the course, participants should be able to conduct their own study and analyses data sets with a variety of statistical methods. Discussed topics include:

• Developing and testing hypotheses
• Introduction to univariate and multivariate methods
• Analysis of variance
• Regression analysis

The emphasis is on empirical applications and the mathematics of econometric will be introduced only as needed.

Goal: Upon completion of the course, students will be able to undertake regression analysis and inference on a variety of hypotheses involving cross-sectional and time series data.
This course introduces students to regression tools for analysing data in Economics, Business Management and related disciplines. The objective of the course is for the student to learn how to conduct – and how to critique – empirical studies in Economics, Business Management and related fields. Accordingly, the emphasis of the course is on empirical applications. The mathematics of econometrics will be introduced only as needed and will not be a central focus.

Assessment and permitted materials

The final grade will be based on assignments, presentations, in class discussion and participation. Attendance during the lectures is mandatory.

The use of AI tools (e.g. ChatGPT) for the production of texts is not allowed.

Minimum requirements and assessment criteria

Basic knowledge of Business Mathematics and Statistics are required.
Passing grades can generally not be earned by students who miss more than 10% of the total class-time.
1 (sehr gut) → 100-89 poins
2 (gut) → 88-76 poins
3 (befriedigend) → 75-63 poins
4 (genügend) → 62-50 poins
5 (nicht genügend) → 49-0 poins

Examination topics

The final grade will be based on assignments, presentations, in class discussion and participation. Attendance during the lectures is mandatory.

The use of AI tools (e.g. ChatGPT) for the production of texts is not allowed.

Reading list

Wooldridge „Introductory Econometrics“
– Chapters 1-8, 15, 17
Peter Kennedy „A guide to Econometrics“
– Chapters 1-12, 16, 17
Kohler/Kreuter „Data Analysis using Stata“
– Chapter 8 and 9

Association in the course directory

Last modified: Mo 24.03.2025 12:45