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270147 VU Computational Data Processing (2025W)
Continuous assessment of course work
Labels
Details
Language: German
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Students learn the most important Python techniques for programming, data processing and data visualization. In the lecture component functional Python code snippets are shows and their working explained in detail. In the practical component students implement tasks and exercises into functional Python code. The practical component is implemented as mandatory homework.
Assessment and permitted materials
Points are earned through submitted homework, which is then translated into a final grade.
Minimum requirements and assessment criteria
At least 50% of the achievable points must be accumulated to positively pass the course.
Attendance is compulsory, absence will be excused up to two times.
Attendance is compulsory, absence will be excused up to two times.
Examination topics
Lecture and Exercise materials.
Reading list
Online Book "Scientific Computing for Chemists with Python" by Charles Weiss https://weisscharlesj.github.io/SciCompforChemists/
Association in the course directory
CH-BAS-02, BC-DAT I-1
Last modified: Fr 27.06.2025 09:46