Computing for environmental sciences
You will find below pedagogical resources to use in the implementation of courses on Computing for environmental sciences:
- Introduction to Data Analysis (with R)
- Python programming in GeoScience
- Cloud and Large scale computing
- IoT for Environmental Monitoring
- AI for Environmental Issues
These resources are intended as a teaching guide to discover the main elements of the different teaching units to be developed to train on specificities of environmental sciences, data, storage and processing. The idea here is that teachers can quickly have access to the ins and outs of each course with a synthetic overview of the course and the skills to be acquired and reference bibliography items.
For each of these topics, a resource in H5P format (a format that facilitates integration and reuse into CMS – Content Management System – and LMS – Learning Management Systems – platforms) is delivered along with a detailed description with an associated DOI.