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180124 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2021S)
Continuous assessment of course work
Labels
REMOTE
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 10.02.2021 08:00 to Th 25.02.2021 23:59
- Deregistration possible until We 31.03.2021 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Preparatory meeting (mandatory): Thursday, March 4, 9:30.
First lecture: Thursday, March 4, 9:45.
You will receive instructions about the online platform a few days ahead.
Thursday
04.03.
09:45 - 13:00
Digital
Thursday
11.03.
09:45 - 13:00
Digital
Thursday
18.03.
09:45 - 13:00
Digital
Thursday
25.03.
09:45 - 13:00
Digital
Thursday
15.04.
09:45 - 13:00
Digital
Thursday
22.04.
09:45 - 13:00
Digital
Thursday
29.04.
09:45 - 13:00
Digital
Thursday
06.05.
09:45 - 13:00
Digital
Thursday
20.05.
09:45 - 13:00
Digital
Thursday
27.05.
09:45 - 13:00
Digital
Thursday
10.06.
09:45 - 13:00
Digital
Thursday
17.06.
09:45 - 13:00
Digital
Thursday
24.06.
09:45 - 13:00
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Due to the exceptional situation related to the covid crisis, course will start as an online course, involving online lectures, discussion groups, and learning from a scrip that will be provided. The final grade is based on homework exercises about theoretical and practical aspects and on a final exam.
Minimum requirements and assessment criteria
Minimum requirements for passing the course:
- Homework assignments about the theoretical part (25%)
- Exam about the theoretical part (25%)
- Homework assignments about the practical part (50%)
Both the theoretical and the practical parts must be positive.
- Homework assignments about the theoretical part (25%)
- Exam about the theoretical part (25%)
- Homework assignments about the practical part (50%)
Both the theoretical and the practical parts must be positive.
Examination topics
Reading list
Association in the course directory
Last modified: We 21.04.2021 11:26
The practical part should foster the understanding of theoretical concepts via basic examples from different research fields (mainly biology related research topics). We will try to "produce" our data, visualize and analyze them.
Expectations and learning outcomes from the practical part:
- overview of the plethora of statistical methodologies
- use of different statistical programs (R, R Studio)
- Scientific visualization in practice
- Applied scientific reasoning and critical discussion of their statistical methodologies for scientific research