Universität Wien
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270147 VU Computational Data Processing (2025S)

4.00 ECTS (2.00 SWS), SPL 27 - Chemie
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 36 participants
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.

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: We 29.01.2025 13:26