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180124 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2021S)

5.00 ECTS (2.00 SWS), SPL 18 - Philosophie

Continuous assessment of course work

REMOTE

Moodle

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

This course introduces the most important basic concepts in statistics and their application to biological and behavioral research. It covers topics in univariate statistics (univariate descriptive statistics and graphical display of data, correlation, regression, hypothesis tests, ANOVA) and multivariate statistics (PCA, factor analysis, discriminant analysis & classification, MANOVA, CCA, PLS). The course focuses on a geometric understanding of the methods and on a critical discussion of their application for scientific research.
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

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.

Examination topics

Reading list

Association in the course directory

B-M-STA Basic Statistics

Interdisciplinary Master Joint Degree Programme MEi: CogSci Cognitive Science (013) ➡ 2. Alternative Required Modules

Last modified: We 21.04.2021 11:26