PULS
Foto: Matthias Friel
This is course includes an introduction to a higher-level programming languages such as MATLAB, Python and Julia; overview of data types and methods; one-, two-, and multi-variable statistics; time series analysis; statistics for spatial and directional data; numerical procedures; image processing and analysis. The course is based on the instructor's textbooks available for free.
Trauth, M.H. (2024) MATLAB Recipes for Earth Sciences – 6th Edition. Springer International Publishing.
Trauth, M.H. (2024) Python Recipes for Earth Sciences – 2nd Edition. Springer International Publishing.
The course has two parts:
a one-week practical in person after after the term, date to be determined.
You can also study the course at any time using my books and the recorded lectures. Please write me an email if you prefer asynchronous learning and we will find a way.
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