Universität Wien

040047 UE Experimental Methods II (MA) (2024S)

Laboratory Experiments

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
MIXED
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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 05.03. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 07.03. 08:00 - 11:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 19.03. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 21.03. 08:00 - 11:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 09.04. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 11.04. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 18.04. 08:00 - 13:00 Digital
  • Tuesday 30.04. 09:45 - 11:45 Digital
  • Wednesday 08.05. 08:00 - 12:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

Missing the first session without prior written notice to the lecturer (at least 24 hours before the start of the session) providing a relevant reason/proof (e.g. doctor’s notice in case of illness) will result in deregistration from the course. In such cases the missing student’s place will be given to the person next in line on the waiting list (if this person is present in the first session).

In general, students are allowed to miss up to 10% (2.5 hours) of scheduled classes without any consequences. Exceeding this limit, however, will result in failing the class.

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.

Minimum requirements and assessment criteria

Please note that attendance during the first session is absolutely mandatory.

Missing the first session without prior written notice to the lecturer (at least 24 hours before the start of the session) providing a relevant reason/proof (e.g. doctor’s notice in case of illness) will result in deregistration from the course. In such cases the missing student’s place will be given to the person next in line on the waiting list (if this person is present in the first session).

In general, students are allowed to miss up to 10% (2.5 hours) of scheduled classes without any consequences. Exceeding this limit, however, will result in failing the class.

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

The grading scheme will look as follows:
5 – [0%;50%)
4 – [50%;62.5%)
3 – [62.5%;75%)
2 – [75%;87.5%)
1 – [87.5%;100%]

Examination topics

Lectures
Computer Exercises
Presentations
Experiments
Discussions

Reading list

TBA in class

Association in the course directory

Last modified: Th 15.02.2024 16:06