180112 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2018S)
Continuous assessment of course work
Labels
1.Termin (Vorbesprechung): Mo 5. März 2018, 9:00 - 11:00
HS 2i d. Inst. f. Philosophie, NIG, 2. StockWeitere Termine werden bei der Vorbesprechung bekannt gegeben!
HS 2i d. Inst. f. Philosophie, NIG, 2. StockWeitere Termine werden bei der Vorbesprechung bekannt gegeben!
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 Th 15.02.2018 00:00 to Th 08.03.2018 23:59
- Deregistration possible until Sa 31.03.2018 23:59
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
- Thursday 15.03. 10:30 - 12:00 Übungsraum 2
- Thursday 15.03. 12:00 - 13:30 EDV-Raum 2 Ökologie
- 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
- 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
- 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
- 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
- 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
- Thursday 17.05. 12:00 - 13:30 EDV-Raum 2 Ökologie
- 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
- 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
- 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
- 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
- Thursday 28.06. 12:00 - 13:30 EDV-Raum 2 Ökologie
Information
Aims, contents and method of the course
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)
- 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: Th 23.02.2023 00:20
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