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Spatial data analysis with numerical methods - Single View

Type of Course Vorlesung/Übung Number
Hours per week in term 4 Term WiSe 2019/20
Department Institut für Geowissenschaften   Language englisch
application period 01.10.2019 - 30.03.2020

enrollment
Gruppe 1:
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    Day Time Frequency Duration Room Lecturer Canceled/rescheduled on Max. participants
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Vorlesung/Übung - 09:00 to 17:00 Block 16.03.2020 to 26.03.2020  2.27.0.29/30 Dr. rer. nat. Rheinwalt  
  Comment: Beginnt am 30.03.2020
Description

Block seminar will be held from March 16 till March 26.
Literature

McKinney, W., 2013, Python for Data Analysis, O'Reilly.

Garrard, C., 2016, Geoprocessing with Python, Manning Publications.

Drabas, T., 2016, Practical Data Analysis Cookbook, Packt Publishing Press.

W. H., Teukolsky, S. A., Vetterling, W. T., Flannery, B. P., 1992, Numerical Recipes in C, Cambridge University Press.
Certificates

Final presentation of your own research project.
Learning Content

The Module provides an introduction into the different possibilities to program in Python for scientific research in the Earth sciences. This includes an introduction to fundamental methods and concepts of numerical data analysis as well as hands-on lab exercises with scientific relevant research questions.

Structure Tree
Lecture not found in this Term. Lecture is in Term WiSe 2019/20 , Currentterm: SoSe 2024

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