Universität Wien
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270147 VU Computational Data Processing (2024W)

4.00 ECTS (2.00 SWS), SPL 27 - Chemie
Continuous assessment of course work
Moodle
Tu 21.01. 16:30-18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42

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

Language: German

Lecturers

Classes (iCal) - next class is marked with N

First Meeting on 1.10. at 15:30 in HS4.
Lectures every Tuesday (8.10.- onwards) at 16:30 in HS4

Exercises every Monday (starting 7.10.), groups are between 13-16 o'clock.

  • Tuesday 01.10. 15:30 - 16:30 Hörsaal 4 Chemie HP Währinger Straße 42 (Kickoff Class)
  • Tuesday 01.10. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 08.10. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 15.10. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 22.10. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 29.10. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 05.11. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 12.11. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 19.11. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 26.11. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 03.12. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 10.12. 16:30 - 18:00 Hörsaal 4 Chemie HP Währinger Straße 42
  • Tuesday 17.12. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 07.01. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 14.01. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42
  • Tuesday 28.01. 16:30 - 18:00 Joseph-Loschmidt-Hörsaal Chemie EG Währinger Straße 42

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: Mo 21.10.2024 11:26