IA en Géosciences

IA en Géosciences
Diplôme d'ingénieur de l'École et observatoire des sciences de la Terre (EOST)Parcours Diplôme d'ingénieur de l'EOST

ComposanteÉcole et observatoire des sciences de la Terre (EOST)

Description

Ce cours vise à développer la pratique de l'IA et du traitement massif de données en géosciences, en associant 12 h de cours théoriques en IA et 12 heures de cours pratiques autour de la présentation de trois applications spécifiques en calcul massif.

Les 12 h d'enseignements théoriques seront assurés par un enseignant-chercheur en informatique et aborderont les fondements et concepts de l’IA, les principales approches conceptuelles et les notions de calcul massif. Les 12 h d'enseignements pratiques seront réalisés autour d'un Environnement Numérique d'Apprentissage "IA – Géosciences" (ENA-IA) associant puissance de calcul (majoritairement sur processeurs CPU), calepins numériques (type application web Jupyter) et les principales librairies d'IA. Des applications concrètes en traitements de données sismologiques, en traitement de données satellitaires, et en traitement de données hydrologiques seront présentés.


This course aims to develop the practice of AI and massive data processing in geosciences, by combining 12 hours of theoretical courses in AI and 12 hours of practical courses around the presentation of three specific applications in massive computing.

The 12 hours of theoretical classes will be given by a teacher-researcher in computer science and will cover the foundations and concepts of AI, the main conceptual approaches and the notions of massive computing. The 12 hours of practical teaching will be carried out around a Digital Learning Environment "AI - Geosciences" (ENA-IA) associating computing power (mainly on CPU processors), numerical notebooks (such as Jupyter web application) and the main AI libraries. Concrete applications in seismological data processing, satellite data processing, and hydrological data processing will be presented.


 

Compétences visées

A la fin de cette UE vous serez capable de :
- Connaissance des principales notions de l’IA et du calcul massif
- Connaissance de l’usage des calepins numériques, et du fonctionnement d’un cluster de calcul
- Connaissances pratiques en IA adaptées aux domaines/objets d’étude et à leurs problématiques associées
- De réaliser des analyses de données complexes par des méthodes d'apprentissage machine adaptées aux larges ensembles de données (Big Data)
- De capacités à pouvoir interagir avec des techniciens et purs ingénieurs informatique sur leurs problématiques, dans le cadre de leurs future insertion professionnelle.

At the end of this UE you will be able to :
- Knowledge of the main notions of AI and massive computing
- Knowledge of the use of numerical notebooks, and the functioning of a computing cluster
- Practical knowledge in AI adapted to the fields/objects of study and their associated problems
- The ability to perform complex data analysis using machine learning methods adapted to large data sets (Big Data)
- Ability to interact with technicians and pure computer engineers on their problems, as part of their future professional insertion.
 

School regulations

The curriculum includes three years of study: admissions, the organisation of studies, assessments, placements and vivas, graduation and international exchanges are all explained in the current school rules (pdf).

First and second year courses

First and second year courses

  • General modules: mechanics, geology, mathematics, IT, digital analysis, signal processing, inverse methods.
  • Geophysical methods: physics of the Earth, seismology, seismic modelling and imaging, geodesy, gravimetry, potential methods, geomagnetism, electromagnetism, rock physics and fracture, hydrology.
  • Practical work: geophysical measurements in the field (photo) and in the laboratory, geology field placements in the Alps.
  • Languages and economic and social sciences: English, modern language 2, economics, industrial property, management, sustainable development, ethics, quality, company health and safety
  • IT and research projects, shared with the first year of the master’s degree
  • Summer placements at a laboratory or company, with numerous opportunities abroad (international placement contact: Mike Heap)

Third year course

Students have a choice of 3 specialisations in the third year:

  • Geophysics applied to the exploration and production of raw materials: seismic and hydrodynamic characterisation of reservoirs, seismic processing and interpretation, potential methods.
  • Geophysics applied to geotechnics: geotechnics and the resistance of materials applied in civil engineering, geomechanics, hydrogeophysics, electromagnetic methods, earthquake.
  • Hydrogeology, hydrogeochemistry, hydrogeophysics (HydroG3).

Additional teaching:

  • Languages and economic and social sciences: English, energy economy, company strategy and structure.
  • Geophysics field camp in Alsace (photo).  Here are images of a normal fault in the Rhine Graben taken by students.
  • 6-month industry placement culminating in the writing of a dissertation and a viva before a jury in order to obtain the engineering degree. The placements are carried out all over the world.