Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

040217 KU Data Analysis on Organization and Personnel (MA) (2026S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

service email address: opim.bda@univie.ac.at
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Freitag 06.03. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 06.03. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 06.03. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 17.04. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 17.04. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 17.04. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 08.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 08.05. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 08.05. 13:15 - 14:50 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 19.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 19.05. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 19.05. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 26.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 26.06. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 26.06. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This 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?

Art der Leistungskontrolle und erlaubte Hilfsmittel

Your final grade is determined by your performance on the assignments, presentations and class participation and discussions.
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.
Exam review is possible during regular semester time by appointment.
1 (excellent) 100 – 90 points
2 (good) 89 – 81 points
3 (satisfactory) 80 – 71 points
4 (sufficient) 70 - 61 points
5 (insufficient) 60 – 0 points

Mindestanforderungen und Beurteilungsmaßstab

Basic knowledge of Business Mathematics and Statistics is required.
Passing grades can generally not be earned by students who miss more than 10% of the total class time.

Prüfungsstoff

The final grade will be based on two assignments (50%), presentations (30%), in class discussion and participation (20%). Attendance during the lectures is mandatory.
The use of AI tools (e.g. ChatGPT) for the production of texts is not allowed.

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 06.03.2026 12:05