In cooperation with the Young Hydrologic Society (http://younghs.com/)

Use of data-driven modelling approaches has gained wider importance in many fields of hydrology along with substantial improvements in data availability.

The primary learning objective of this short course will be to provide an overview of machine learning and computational intelligence in the form of a 1.5 hour lecture. Introducing most commonly used techniques of data-driven modelling in hydrology and water resources research, the course aims to increase awareness of participants on the vital role and potential benefits of using data-driven models (e.g. over physically based models).

This short course will be intended to accommodate early career hydrologic researchers (MSc students, PhD candidates, post-doctoral researchers) whose current skills and knowledge range from very basic to well-developed.

The lecture will be given by Prof. Dimitri P. Solomatine from UNESCO-IHE Institute for Water Education (Delft, the Netherlands): http://www.unesco-ihe.org/dimitri-solomatine.

Please note that pre-registration is not necessary. The course will be open to a limited number of participants selected on a first come-first served basis. We suggest that you arrive the room assigned a little earlier to make sure that you find an empty seat.

For any additional information, please contact the conveners.