Universität Wien

200145 SE Anwendungsseminar: Geist und Gehirn (2018W)

Programming psychological experiments in Python

4.00 ECTS (2.00 SWS), SPL 20 - Psychologie
Prüfungsimmanente Lehrveranstaltung

Anwendungsseminare können nur fürs Pflichtmodul B verwendet werden! Eine Verwendung fürs Modul A4 Freie Fächer ist nicht möglich.
Moodle

An/Abmeldung

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

Details

max. 20 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Mittwoch 03.10. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 10.10. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 17.10. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 24.10. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 31.10. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 07.11. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 14.11. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 21.11. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 28.11. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 05.12. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 12.12. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 09.01. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 16.01. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 23.01. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
  • Mittwoch 30.01. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is a general introduction to the Python programming language and to the Python-based PsychoPy software package for experimental purposes (stimulus presentation, recording). Each lesson will cover only a few basic programming concepts or functionalities, using plenty of practical examples explained and/or solved together. While we will eventually focus on experimental aspects (PsychoPy), this course should in any case give a strong fundamental programming knowledge that allows easy further individual learning of other uses of Python (or of other programming languages as well).

Syllabus (approx.):
1. General introduction to Python. Main variable types, basic commands.
2. The random module. Lists, tuples, strings, and related methods.
3. IF – ELSE – conditional statements.
4. FOR and WHILE loops.
5. Dictionary variables.
6. Defining functions. Local and global variables.
7. Handling files and storing data. Exception handling. Classes.
8. Introduction to PsychoPy. Input through GUI and screen settings.
9. Presenting stimuli. Timing: the core module.
10. Monitoring and recording input: keyboard and mouse.
11. Practice: writing a script for a task together.
12. Statistics. Basic data processing and analysis.
13. Python libraries: NumPy, SciPy, Pandas.
14. Visualization in Python: Matpotlib library.
15. Practice, discussion of homework assignments, etc.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The grading will be based on homework assignments (max 20 points, min. 10 to pass) and the writing of a relatively simple PsychoPy script for experimental presentation (max 80 points). Any sort of material or help may be used for writing your scripts, but it has to be written by you (and so of course you have to know what each function or line of code does).
Attendance: max. 3 absences.

Mindestanforderungen und Beurteilungsmaßstab

After most lessons, there will be some small script to write as homework. After each submission, I will give some feedback, and revisions will be possible.

The PsychoPy script will have to be written at the end of the course, and it may present any sort of well-known or totally original psychological task (e.g. an example taken from an article or otherwise a task for your own upcoming thesis).
However, it should include the following elements:
- Welcome screen and instructions (15 points)
- Presentation of stimuli according to the given task (25 points)
- Recording of responses (20 points)
- Optionally: feedback about the performance (max 10 extra points)
- End screen (5 points)
- Output saved in a file (15 points)
- Optionally: automatic preprocessing and/or analysis of results (max 15 extra points)

Alternatives may be possible (e.g. if you want to do some elaborate data analysis instead), but in that case first discuss it with me.

Grades:
>=50 points: 4
>=63 points: 3
>=75 points: 2
>=87 points: 1

Prüfungsstoff

Literatur

Material will be uploaded on moodle.

Recommended:
Dawson, Michael. Python programming for the absolute beginner. Cengage Learning, 2010.
http://www.psychopy.org/documentation.html
https://discourse.psychopy.org/
https://stackoverflow.com/
https://repl.it/languages/Python3
https://docs.google.com/document/d/1UdPvUov3vWefVDgkg9CEs422JVVFvHq0RZejpEIk3qY/edit
https://docs.google.com/document/d/1WRBWTIVM0cuOY-inDy2yRvpyXnufsg4Z6NfwbjXFar8/edit

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:37