Scientific programming in Python
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 :)
Zeiten: Di. 12:00 - 14:00 (wöchentlich), Do. 12:00 - 14:00 (wöchentlich)
Erster Termin: Di , 02.04.2019 12:00 - 14:00, Ort: 93/E31
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)
- Cognitive Science > Bachelor-Programm
- Cognitive Science > Master-Programm