Wednesday: 08:15 - 09:45, weekly (from 20/10/21) Dates on Monday. 21.02.22 08:00 - 10:00 hybrid
59 students can attend in presence, the others can watch the recoreded lectures online. For participation in presence, you need to register for each session you want to attend by signing up to the respective group.
The class in only open for Neurocognitive Psychology, Neuroscience and PhD students, NOT for Biology students.
The first 3 classes will take place as BBB sessions, the other classes online with R markdown tutorials and BBB Q&A sessions from 16-17h.
The course is open for Neurocognitive Psychology and Neuroscience students.
59 students can attend in presence (3G), the others can attend online. For participation in presence, you need to register for each session you want to attend by signing up to the respective group.
This course is designed for students who are completely new to the world of statistics and for those who have the feeling that many statistical concepts they learned about earlier are not present to them anymore. Relying on theoretical input and applied exercises, this interactive lecture covers all those topics that need to belong to students’ procedural knowledge in order to be able to follow the topics covered by the Psychological methods module.
• Empirical research, variables and scales
• Statistical parameter
• Graphical data visualization
• Probability theory
• Probability distributions
• Statistical sampling
• Hypothesis testing
• Testing hypothesis on differences
• Simple linear regression
34 students can attend in presence, the others can attend online. For participation in presence, you need to register for each session you want to attend by signing up to the respective group.
Additonal voluntary tutorial for the multivariate statistics lecture.
If you are from another study program, please contact the teacher.
Notes for the module
Enrolment in Master's programme Neurocognitive Psychology.
Time of examination
end of winter term
The module will be tested with a written exam.
Required active participation for gaining credits:
attendance of at least 70% in the seminar (use attendance sheet that will be handed out in the beginning of the term).
Skills to be acquired in this module
Goals of module: After completion of this module, students will have basic knowledge in managing and understanding quantitative data and conducting a wide variety of multivariate statistical analyses. They can apply the statistical methodology in terms of good scientific practice and interpret, evaluate and synthesize empirical results in basic and applied research contexts. Students will be aware of statistical misconceptions and they can overcome them.
++ interdisciplinary kowledge & thinking
++ statistics & scientific programming
++ data presentation & discussion
+ independent research
+ scientific literature
++ ethics / good scientific practice / professional behavior
++ critical & analytical thinking
++ scientific communication skills
+ group work