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. (2021) MATLAB Recipes for Earth Sciences – Fifth Edition. Springer International Publishing, 517 p., Supplementary Electronic Material, Hardcover, ISBN: 978-3-030-38440-1
Trauth, M.H. (2022) Python Recipes for Earth Sciences – 1st Edition. Springer International Publishing, 453 p., Supplementary Electronic Material, Hardcover, ISBN: 978-3-031-07718-0
The course has two parts:
a one-week practical in person after after the term, date to be determined.
The Zoom link is
https://uni-potsdam.zoom.us/j/66651183531
Meeting-ID: 666 5118 3531
Kenncode: 39555908
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