Universität Wien FIND

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180112 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2018S)

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

1.Termin (Vorbesprechung): Mo 5. März 2018, 9:00 - 11:00
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 serve).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 08.03. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 08.03. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 15.03. 10:30 - 12:00 Übungsraum 2, UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.010 1.OG
Thursday 15.03. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 22.03. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 22.03. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 12.04. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 12.04. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 19.04. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 19.04. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 26.04. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 26.04. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 03.05. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 03.05. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 17.05. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 24.05. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 24.05. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 07.06. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 07.06. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 14.06. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 14.06. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 21.06. 10:30 - 12:00 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
Thursday 21.06. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 28.06. 12:00 - 13:30 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG

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: Mo 07.09.2020 15:36