200222 SE Theorie und Empirie wissenschaftlichen Arbeitens (Geist und Gehirn) 1 (2023S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 02.02.2023 09:00 bis Do 23.02.2023 09:00
- Abmeldung bis Fr 03.03.2023 09:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
IMPORTANT information:
The first 3 classes will be given in digital form only! A link will be provided on moodle (zoom).1st class: Donnerstag 02.03.2023 09:30 - 12:30 ONLINE2nd class: Montag 06.03.2023 09:30 - 12:30 ONLINE
3rd class: Donnerstag 09.03.2023 09:30 - 12:30 ONLINE
- Donnerstag 02.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Montag 06.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Donnerstag 09.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Donnerstag 16.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Montag 20.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Donnerstag 23.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Montag 27.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Donnerstag 30.03. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Montag 17.04. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Donnerstag 20.04. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Montag 24.04. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Donnerstag 27.04. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
- Montag 08.05. 09:30 - 12:30 Hörsaal H Psychologie KG Liebiggasse 5
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
[ASSESSMENT (preliminary)]The final grade consists of:
- Attendance and Participation (5%)
- MATLAB Programming Exercises (30%)
- Article Presentation (in groups) (10%)
- Experiment Proposal Presentation (in groups) (10%)
- "Demo Experiment" Script (15%)
- "Full Experiment" Script (in groups) (30%)
- Attendance and Participation (5%)
- MATLAB Programming Exercises (30%)
- Article Presentation (in groups) (10%)
- Experiment Proposal Presentation (in groups) (10%)
- "Demo Experiment" Script (15%)
- "Full Experiment" Script (in groups) (30%)
Mindestanforderungen und Beurteilungsmaßstab
[REQUIREMENTS]
MATLAB or other programming skills are an advantage (but not a must, this course is for beginners!).
You must have access to a computer with a working version of MATLAB.
MATLAB or other programming skills are an advantage (but not a must, this course is for beginners!).
You must have access to a computer with a working version of MATLAB.
Prüfungsstoff
Will be discussed in class.
Literatur
Will be discussed in class.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Do 16.03.2023 11:09
The course is entirely given in English.
The max. number of students for the course is 20.[AIMS]
The course teaches the programming and theoretical knowledge necessary to run simple behavioral (and EEG) experiments using MATLAB and the Psychophysics Toolbox. The course specifically focuses on gaining a basic understanding of the MATLAB programming language. Please consider the other TEWA1 courses on offer if you are interested in learning other programming languages (e.g., Python)!At course completion, students should be able to independently program and run simple psychological experiments. In addition, a theoretical research topic will provide the basis for the programmed experiments. The focus will be on the role of ongoing neuronal oscillations (e.g., alpha, theta), as well as, ERPs (N2pc) in visual perception and attention. Students will present relevant articles, as well as, a research proposal in class and as a final assignment submit a complete MATLAB script running the proposed experiment(s). Programming tutorials will alternate with exercise sessions, theoretical lectures and student presentations.[METHODS:]
Practical MATLAB programming sessions, oral presentations by lecturer and students, in-class participation, weekly homework, oral presentations of proposed experiments, written MATLAB scripts for demo and full experiments.