Universität Wien

180124 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2019S)

5.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Continuous assessment of course work

1.Termin (Vorbesprechung): Mo 4. März 2019, 11:00 - 13:00
HS 2i d. Inst. f. Philosophie, NIG, 2. Stock

Weitere Termine werden bei der Vorbesprechung bekannt gegeben!
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

Thursday, 9:45-11:15
HS 1, UZA 1, Althanstrasse 14

  • Thursday 07.03. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 14.03. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 21.03. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 28.03. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 04.04. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 11.04. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 02.05. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 09.05. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 16.05. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 23.05. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 06.06. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 13.06. 11:15 - 13:00 EDV-Raum 2 Ökologie
  • Thursday 27.06. 11:15 - 13:00 EDV-Raum 2 Ökologie

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 statistcal methodologies
- use of different statistical programs (SPSS, R, R Studio)
- Scientific visualization in practice
- Applied scientific reasoning and critical discussion of their statistical methodologies for scientific research

Assessment and permitted materials

The finale grade consists of an exam, active participation and practical work during the course, personal attendance and homework exercises.

Minimum requirements and assessment criteria

Minimum requirements for passing the course:
- Active participation in practical part (you may miss max. 2 sessions [please inform the instructor ahead of time]) (25%)
- Homework assignements during the practical part (you can miss out one assignement, but should try to supply asap) (25%)
- Final exam (50%)
The final grade consists of a combination of the above mentioned evaluation criteria (percentage in parentheses)

Examination topics

Reading list

Association in the course directory

Last modified: Sa 22.10.2022 00:23