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Computational Thinking I (University of Zurich)
Last Updated: 2026-02-05 16:30:27
Abstract
The course will be organized around a series of "computational challenges" which will require an understanding of a broad range of computational topics in order to successfully tackle them.
Objective
To improve the knowledge base of all MSc and PhD students in Computational Science. This knowledge will also prepare the PhD students for questions during their eventual closed session exam, but in general will improve the performance of all students faced with computational questions during talks/conferences.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Computational Thinking I | No time listed | 1 h weekly |
Offered In
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Deep Track Courses (At least 20 credits must be completed within the deep track courses. Surplus credit points can be counted towards the electives.)
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Deep Track Earth Observation (These courses can be credited either as a specialization subject or as an elective subject.)
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