14th Eawag Summer School

Mathematical models are essential for gaining insights into environmental systems and making predictions about their behaviour. In this summer school, we provide guidance on how to use Bayesian techniques to treat uncertainties in data, model structure, and parameters quantitatively. This course is designed for PhD students, post-doctoral researchers, and senior research scientists who work with mathematical models in all disciplines. However, the presented examples are mostly from hydrology and ecology.

Language: English
Cost: CHF 400/800 (ETH domain/extern)

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