040047 UE Experimental Methods II (MA) (2023S)
Laboratory Experiments
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
07.03.
11:00 - 13:00
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
09.03.
08:00 - 11:15
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
14.03.
10:35 - 13:00
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
16.03.
08:00 - 11:15
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
21.03.
10:35 - 13:00
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
23.03.
08:00 - 11:15
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday
29.03.
11:30 - 16:30
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
20.04.
09:00 - 11:00
Digital
Thursday
27.04.
08:00 - 11:15
Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
27.04.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
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 PaperPlease note that TURNITIN will be used in order to test all written coursework (e.g. seminar papers) for possible plagiarism.
10% - (Poster) Presentation of Research Design
20% - Presentation Findings
10% - Experiment
40% - Final PaperPlease 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 resultsThe 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%]
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 resultsThe 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
Computer Exercises
Presentations
Experiments
Discussions
Reading list
TBA in class
Association in the course directory
Last modified: Th 11.05.2023 11:26