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In the following, you will find courses offered by our department this semester, divided into lectures, seminars, recitations and internships. You will find more detailed information about the courses (after registration in Stud.IP) via the red event links. You must register in Stud.IP. In Stud.ip all the materials for the course is also available. Courses of our department in Stud.IP are all accessible without a password.
Scientific Programming in Python
Prof. Dr. Elia Bruni
Serwan Jassim
Veranstaltungstyp: Übung
TeilnehmerInnen:
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.
Erstes Treffen:
Ort: nicht angegeben
Semester: SoSe 2024
Zeiten:
Leistungsnachweis:
Veranstaltungsnummer:
8.3323
ECTS-Kreditpunkte:
4
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Bachelor-Programm Veranstaltungen > Cognitive Science > Master-Programm Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)
Prof. Dr. Elia Bruni
Serwan Jassim
Veranstaltungstyp: Übung
TeilnehmerInnen:
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.
Erstes Treffen:
Ort: nicht angegeben
Semester: SoSe 2024
Zeiten:
Leistungsnachweis:
Veranstaltungsnummer:
8.3323
ECTS-Kreditpunkte:
4
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Bachelor-Programm Veranstaltungen > Cognitive Science > Master-Programm Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)
