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Scientific programming in Python
Allgemeine Informationen
- Veranstaltungsart
- Seminar
- Semester
- SoSe 2019
- ECTS-Punkte
- 4
- Veranstaltungsnummer
- 8.3323
- Details
- Link zur Veranstaltung in StudIP
Dozent*innen
Tutor*innen
Beschreibung
In this course, we will handle the tools and methods you need for Scientific Programming in Python. We will deal with the python-libraries used to work with experiments and experimental data - from creating experiments, cleaning the data and working with the dataset to analyzing and plotting the results. This course is not taught by Kai-Uwe Kühnberger, but by Rüdiger Busche, PhD student at the IKW, and Christoph Stenkamp, master student of Coxi.
Note that we will not upload any lectures to the files-section of this course, but use GitHub to distribute the lecture material - the respective repository can be found at https://github.com/scientificprogrammingUOS/lectures and how to clone a repository is explained in part 2 of the introduction :)
Studienbereiche
- Cognitive Science > Bachelor-Programm
- Cognitive Science > Master-Programm
