Universität Wien FIND

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Further information about on-site teaching and access tests can be found at https://studieren.univie.ac.at/en/info.

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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).

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

Last modified: We 21.04.2021 11:26