This course aims to provide students with an easy
access to programming in Python.
The course will be application-focused. I.e. the course will be strictly
hands-on and aims to enable students purposively to deal with
every-day-tasks in the field of psychology using Python.
Language-details will only be covered where they affect the hand-on work.
Besides the, already quite comprehensive, Python standard libraries
there is a rich "ecosystem" of further Python-Libraries, some of which
cover a quite comprehensive functionality-scope themselves (e.g. PIL).
The students will be enabled to use such libraries independently.
More and more scientist consider Python to be a real alternative to
Matlab. This is mostly due to Python's math libraries Numpy and Scipy as
well as the plotting libraries Matplotlib and Pylab. This central tool
of scientific work will be a focus in the later parts of the course.
Some topics which will be treated are:
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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Modul | Veranstaltung | Leistungen | |
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27-Psy-IndErg Weitere Felder der Psychologie | Veranstaltung A | Studienleistung
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Studieninformation |
Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.