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The Osnabrück University offers every Semester a wide variety of courses in the field of Data Science. The specific orientation and focus of the course is in the hands of the responsible lecturer and of course also depends on the degree programme for which it is offered.
For example, the courses offered by Cognitive Science, Computer Science, Econometrics, Psychology, Social Research and working groups in the field of Data Science are generally more application-oriented, while the courses offered at the Institute of Mathematics tend to have a more theoretical focus.
Current term
Scientific Programming in Python
8.3323
Dozenten
Beschreibung
In this course, we will teach you the skills and tools you need for Scientific Programming in Python.
The rough outline of the course is as follows:
Our first step will be to setup Python on our local machines, together with some tools that will improve our workflow. Then in the next 2 weeks we will cover plain or vanilla Python (no external packages).
After that, we will dive into common Python packages used for scientific computing, such as NumPy for numerical computing, Pandas for tabular data processing and Matplotlib for visualization. The last few lectures as well as the final project topics will be guided by the interests of the participants of this course.
Weitere Angaben
Ort: nicht angegeben
Zeiten:
Erster Termin:
Veranstaltungsart: Übung (Offizielle Lehrveranstaltungen)
Studienbereiche
- Cognitive Science > Bachelor-Programm
- Cognitive Science > Master-Programm
- Human Sciences (e.g. Cognitive Science, Psychology)
