Ensimag Rubrique Formation 2022

Inverse methods and data assimilation - 5MM25323

  • Number of hours

    • Lectures 18.0
    • Projects -
    • Tutorials -
    • Internship -
    • Laboratory works -
    • Written tests -

    ECTS

    ECTS 1.5

Goal(s)

This course is an introduction to data assimilation and inverse methods. Mathematical formulation and algorithms of the major methods are presented, as well as application examples.

Responsible(s)

Arthur VIDARD

Content(s)

A) content

1. introduction to data assimilation
2. mathematical tools (statistics, proba)
3. ingredients of data assimilation
4. Kalman filter
5. ensemble algorithms
6. methematical tools (differential calculus, optimisation)
7. variationnal approaches

B) practicals

Prerequisites

differential calculus, basic proba/stats, matrix theory, optimization, numerical analysis, partial differential equations

Test

  • final exam : oral + written report + practicals (TP)

N = exam

The exam is given in english only FR

Calendar

The course exists in the following branches:

    see the course schedule for 2020-2021

    Additional Information

    Course ID : 5MM25323
    Course language(s): FR

    The course is attached to the following structures:

    You can find this course among all other courses.

    Bibliography

    Documents and resources on the course webpage.