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.
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
Prerequisitesdifferential calculus, basic proba/stats, matrix theory, optimization, numerical analysis, partial differential equations
- final exam : oral + written report + practicals (TP)
N = exam
The exam is given in english only
Course ID : 5MM25323
Course language(s):
The course is attached to the following structures:
You can find this course among all other courses.
Documents and resources on the course webpage.