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Lehrveranstaltungen

 

Neuroscience of Consciousness

Dozent/in:
Alexander Pastukhov
Angaben:
Seminar, 2 SWS, ECTS: 3
Termine:
Di, 12:00 - 14:00, M3/02.10
Inhalt:
An English-language seminar course that presents our current understanding of consciousness. What is consciousness and how can we define it? We will try to answer this by looking question that philosophers raised (What is like to be a bat? Are you a philosophical zombie? Who is inside the Chinese room? What is a thought about a thought called?) We will look for missing consciousness in clinical cases (Can you see without primary visual cortex? When your arm is not your arm anymore? How many personalities can you squeeze into two hemispheres?), unconscious processing (Why cannot you see the flicker, if your V1 can? Can you pay attention to an invisible target?), free will (How do you know you did it? Why do you feel responsible, if you favorite team wins or loses?), false memory (Are you sure this happened to you at all?), and consciousness in animals (Again, what is it like to be a bat? Can animals read others minds?) The course is taught in English, which will allow you build vocabulary on the topic.

 

Statistics made easy with SPSS [Statistics with SPSS]

Dozent/in:
Alexander Pastukhov
Angaben:
Seminar, 2 SWS, ECTS: 3
Termine:
Di, 10:00 - 12:00, M3N/-1.19
Voraussetzungen / Organisatorisches:
No programming background necessary, basic knowledge on statistical analysis is advantages but not strictly necessary.
Inhalt:
An introductory hands-on course that shows how to use SPSS to analyze a typical psychophysical and social psychology research data. The course will walk you through all the analysis stages from importing a raw data through data transformations to the statistical analysis and generating figures.
You will learn how to perform various statistical tests including traditional ones, but also including bootstrapping and permutation, and using Bayesian statistics. Th data wrangling will be performed both using a graphical user interface and using automatically scripts. The latter allow for fast and reproducible reports.
The best way to attend the course is with your own dataset (but this is not a requirement). Bring it to the course and see how SPSS will allow you to understand it deeper. I am happy to help you all along with such statistical, methodological and graphical problems.
Empfohlene Literatur:
https://katalog.ub.uni-bamberg.de/query/BV045389245
Schlagwörter:
SPSS, statistical analysis, data science, statistics, data analysis, analysis



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