Universität Wien

040217 KU Data Analysis on Organization and Personnel (MA) (2025S)

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

service email address: opim.bda@univie.ac.at
Moodle
Fr 16.05. 09:45-11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß

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. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 07.03. 09:45 - 11:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 07.03. 11:30 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 07.03. 13:15 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 21.03. 09:45 - 11:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 21.03. 11:30 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 21.03. 13:15 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 04.04. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 04.04. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 04.04. 13:15 - 14:45 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 16.05. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 16.05. 13:15 - 14:45 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 13.06. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 13.06. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 13.06. 13:15 - 14:45 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

The objective of the course is for the student to learn how to conduct – and how to critique – empirical studies in economics, Management and related fields. Accordingly, the emphasis of the course is on empirical applications.
The course aims to provide participants with a basic understanding of the quantitative research process—from the development of a research question with associated hypotheses to the evaluation and interpretation of the results. Particular emphasis is placed on understanding the procedures and basic applications as well as the interpretation of empirical results. The following topics are covered using examples.
• From the problem to the question: How do I develop a research question and derive hypotheses from it?
• Method selection and collection: Which data collection methods are available to me and which is best suited to answer my research question?
• Hypothesis testing: Which statistical methods are available to me? Which ones are best suited to test my hypotheses?
• Interpretation: What do my results mean? Which statements and conclusions are permissible and which are not?

Assessment and permitted materials

Your final grade is determined by your performance on the quizzes, assignments, presentations and class participation.
Make-up exams will not be given unless the student has a medical or other serious reason.
Students should hand in homework assignments before class on the day they are due. Assignments will be distributed in class or on line. each student must write up his or her answers separately.
Exam review is possible during regular semester time by appointment.
1 (very good) → 100-89 points
2 (good) → 88-76 points
3 (satisfactory) → 75-63 points
4 (enough) → 62-50 points
5 (not enough) → 49-0 points

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.

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 14:05