BIG DATA, ARTIFICIAL INTELLIGENCE & CLOUD COMPUTING FOR ENVIRONMENT DATA

Computing for environmental sciences

You will find below pedagogical resources to use in the implementation of trainings on Computing for environmental sciences:

These resources are intended as a teaching guide to discover the main elements of the different teaching units to be developed to form 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 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 offered along with a detailed description with an associated DOI.

INTRODUCTION TO DATA ANALYSIS (WITH R)

Detailed description : DOI

Python programming in GeoScience

Detailed description  DOI

Cloud and Large Scale Computation

Detailed description DOI

 

IoT for Environmental Monitoring

Detailed description  DOI

 

AI for Environmental Issues

Detailed description DOI