Our S/W Schools

Our Department organises Summer and Winter Schools taught in English.

2026

Introduction to Machine Learning. An introductory course giving an overview of the main machine learning methods and their application to geophysical, geochemical, geological and environmental data. Scientific Coordinator: Prof. Francesco Grigoli
Integrated Water Monitoring Assessment Across Time and Scale. The course covers the topics needed to assess the complex relationships between geosphere, hydrosphere, biosphere and anthroposphere, for a comprehensive characterisation of groundwater-dependent ecosystems. Scientific Coordinator: Prof. Viviana Re
Introduction to Python for Geoscience Applications. The course introduces the basic concepts of Python and, through hands-on computer exercises, some of its most common applications in the geosciences. Scientific Coordinator: Prof. Eusebio Maria Stucchi
Fiber-Optic Sensing for Geological, Geophysical and Environmental Applications. The course focuses on fiber-optic sensing technology for monitoring and understanding geological, geophysical and environmental processes. Scientific Coordinator: Prof. Francesco Grigoli

Past editions

2025

Introduction to Machine Learning. Scientific Coordinator: Prof. Francesco Grigoli
Integrated Water Monitoring Assessment Across Time and Scale: Groundwater-Wetland Ecosystem Interactions. Scientific Coordinator: Prof. Viviana Re
Introduction to Python for Geoscience Applications. Scientific Coordinator: Prof. Eusebio Maria Stucchi

2024

Introduction to Machine Learning. Scientific Coordinator: Prof. Francesco Grigoli
Integrated Water Monitoring Assessment Across Time and Scale. Scientific Coordinator: Prof. Viviana Re

2023

Machine Learning in Geosciences. Scientific Coordinator: Prof. Francesco Grigoli

2022

Machine Learning in Geosciences. Scientific Coordinator: Prof. Francesco Grigoli