200099 SE Anwendungsseminar: Geist und Gehirn (2022S)
Experimentalpsychologische Daten analysieren mit R
Continuous assessment of course work
Labels
REMOTE
Anwendungsseminare können nur für das Pflichtmodul B verwendet werden! Eine Verwendung für das Modul A4 Freie Fächer ist nicht möglich.
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 We 02.02.2022 09:00 to We 23.02.2022 09:00
- Deregistration possible until Fr 04.03.2022 09:00
Details
max. 20 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
The seminar takes place exclusively online (live sessions in Moodle at the indicated times). Therefore a computer with internet access is required. During the sessions, online attendance is obligatory. Those who are not online during the first session will be deregistered from the seminar. In addition to the sessions, there will be voluntary sessions where questions will be answered and assistance provided in direct exchange.
Tuesday
01.03.
13:30 - 15:00
Digital
Tuesday
08.03.
13:30 - 15:00
Digital
Tuesday
15.03.
13:30 - 15:00
Digital
Tuesday
22.03.
13:30 - 15:00
Digital
Tuesday
29.03.
13:30 - 15:00
Digital
Tuesday
05.04.
13:30 - 15:00
Digital
Tuesday
26.04.
13:30 - 15:00
Digital
Tuesday
03.05.
13:30 - 15:00
Digital
Tuesday
10.05.
13:30 - 15:00
Digital
Tuesday
17.05.
13:30 - 15:00
Digital
Tuesday
24.05.
13:30 - 15:00
Digital
Tuesday
31.05.
13:30 - 15:00
Digital
Tuesday
14.06.
13:30 - 15:00
Digital
Tuesday
21.06.
13:30 - 15:00
Digital
Tuesday
28.06.
13:30 - 15:00
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Participation in the sessions, homework for the session, and final assignment. All kinds of aids are allowed as long as the tasks are worked on and solved independently.
Minimum requirements and assessment criteria
Minimum requirements: Obligatory online attendance (maximum two absences).
Assessment criteria: participation (20%), homeworks (60%), final assignment (20%).
For a positive assessment, 50% is necessary (from 62.5% Satisfactory; from 75% Good, from 87.5% Very Good).
Assessment criteria: participation (20%), homeworks (60%), final assignment (20%).
For a positive assessment, 50% is necessary (from 62.5% Satisfactory; from 75% Good, from 87.5% Very Good).
Examination topics
The topics of the sessions are the basis for the assessment.
Reading list
Will be announced in the seminar.
Association in the course directory
Last modified: Th 11.05.2023 11:27
Contents: In this course, four topics are covered. 1. Handling of data (import, calculating new variables, filtering, etc.); 2. Descriptive statistics diagrams; 3. Simple inferential statistics (t-test etc.) and advanced inferential statistics (linear mixed effect models, etc.); 4. Simulations for power analysis. The last block shows the strengths of R and illustrates which aspects influence the power of experiments.
Methods: Mainly problem-solving oriented teaching. After an introduction to the topic of each session, students work independently on problems. The solutions are then discussed together. After each session, similar tasks are to be worked on as homework.
Note: Please install R (https://www.r-project.org) and R-Studio (https://www.rstudio.com/products/rstudio/download/#download) on your computer before the first session. Any problems that may arise with the installation will be solved in the first unit.