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Lehre
- Übungen zur Vorlesung "Crop and ecosystem analysis and modelling"
- Übungen zur Vorlesung "Methods of agricultural research data"
- "GIS and R" - Vortrag im Rahmen der Vorlesung "Crop and Ecosystem Modelling - Data processing and visualisation"
- Workshop "Reproducible Data Analysis with R" für Bachelor-, Master- (und PhD) Studenten.
- Workshop "Literate Data Analysis"
- Workshop "Introduction to R"
- Workshop "Introduction to Python"
- Arbeitskreis Datenbanken
Vorträge (Auswahl)
- "Divide et Erra!" - Discretisation problems by the example of SlimWater (WS 2020/21)
- Order! (WS 2019/20)
- The Importance of Being Balanced - Balance Checks Within and Across Crop Models (SS 2019)
- Data Assimilation in Crop Models (WS 2018/19)
- Modularisation of Models (SS 2018)
- Literate Data Analysis (SS 2018)
- Timestep Matters (WS 2017/18)
- Notes on High Performance Computing (WS 2016/17)
- Limitations of Modeling (SS 2016)
- Notes on Calibration (SS 2015)
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