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Scientific Programming in Python
Allgemeine Informationen
- Veranstaltungsart
- Vorlesung
- Semester
- SoSe 2021
- ECTS-Punkte
- 4
- Veranstaltungsnummer
- 8.3323
- Voraussetzungen
- Basic knowledge of programming (as e.g. gained in Informatik A). Access to a personal computer with a Linux-based operating system is highly recommended. As Python has a comparatively simple syntax, coming from other programming languages such as Java or C++ should not be too big of a problem. Note however that we will only give a brief introduction to Python itself, so if you want to start with the basics, we recommend the course "Basic Programming Python".
- 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. This course will not be taught by Kai-Uwe Kühnberger, but by Martin Pömsl, Sören Selbach and Nion Schürmeyer, students of Cognitive Science at the IKW.
The rough outline of the course is as follows: We will first give a very brief introduction to Python and tools that can be used in conjunction with Python. After that, we will delve 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.
Studienbereiche
- Cognitive Science > Bachelor-Programm
- Cognitive Science > Master-Programm
Modulzuordnungen der Veranstaltung
- Bachelor of Science Informatik > CS-BWP-MCS - Methoden der Kognitionswissenschaft gültig ab WiSe 2019/20
- Bachelor of Science Mathematik > CS-BWP-MCS - Methoden der Kognitionswissenschaft gültig ab WiSe 2019/20
- Bachelor of Science Cognitive Science > CS-BWP-MCS - Methoden der Kognitionswissenschaft gültig ab WiSe 2019/20
- Master of Science Mathematik > CS-BWP-MCS - Methoden der Kognitionswissenschaft gültig ab WiSe 2019/20
