200222 SE Theory and Empirical Research (Mind and Brain) 1 (2023S)
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 Th 02.02.2023 09:00 to Th 23.02.2023 09:00
- Deregistration possible until Fr 03.03.2023 09:00
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
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
Thursday
02.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Monday
06.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
09.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
16.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Monday
20.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
23.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Monday
27.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
30.03.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Monday
17.04.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
20.04.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Monday
24.04.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
27.04.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Monday
08.05.
09:30 - 12:30
Hörsaal H Psychologie KG Liebiggasse 5
Information
Aims, contents and method of the course
Assessment and permitted materials
[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%)
Minimum requirements and assessment criteria
[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.
Examination topics
Will be discussed in class.
Reading list
Will be discussed in class.
Association in the course directory
Last modified: Th 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.