Universität Wien

040041 UE Experimental Methods II (MA) (2024W)

Laboratory Experiments

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

For the Major: completed Minor
For KFK: Empirical Methods 1

An/Abmeldung

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

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Dienstag 12.11. 08:00 - 10:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 14.11. 08:00 - 10:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 19.11. 08:00 - 10:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 21.11. 08:00 - 10:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 28.11. 08:00 - 10:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 05.12. 08:00 - 13:00 Digital
  • Donnerstag 12.12. 08:00 - 10:00 Digital
  • Dienstag 07.01. 08:00 - 12:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course continues and extends the concept covered in Experimental Methods I. Students will create their own experiment. In order to do that, we briefly discuss basics of programming in Python, HTML and CSS, as well as a software tool (oTree) and basic statistical methods. Students will present their research ideas, develop a research plan and conduct their experiment. Then they will present the (preliminary) findings.

Please refer to www.strategy.univie.ac.at for general information on our courses.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Attendance is absolutely mandatory during the first session of the course!

20% - Home Assignments
10% - (Poster) Presentation of Research Design
20% - Presentation Findings
10% - Experiment
40% - Final Paper

Please note that TURNITIN will be used in order to test all written coursework (e.g. seminar papers) for possible plagiarism.

Students may miss a total of 10% of classes (that accounts for 2.5 hours) without providing a reason. Any further absence has to be documented with a doctor's notice.

Mindestanforderungen und Beurteilungsmaßstab

1. Getting a research idea
2. Learning how to use software to create/code an experiment
3. Development and execution of a research plan
4. Analysis of research results
5. Presentation of results

Prüfungsstoff

Lectures
Computer Exercises
Presentations
Experiments
Discussions

Literatur

TBA in class

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 15.11.2024 16:05