Number of hours
- Lectures 12.0
- Projects -
- Tutorials 6.0
- Internship -
- Laboratory works -
ECTS
ECTS 22.0
Goal(s)
Learning outcomes :
- To know the basics of linear numerical analysis, the basics of non-linear numerical analysis, and their applications (least squares, decomposition into singular values, interpolation, integration of differential equations and PDEs, etc.)
- To know the algebra bases that make it possible to create matrices whose use makes it possible to solve data representation problems and to provide indications on the solution of differential problems (Matrix calculation; scalar functions of space vector; Line, slope, curvature in space; Gradient, Hessian; Linear and quadratic functions; Taylor development of a vector function; Non-linear algebraic equation systems; iterative method; Newton Raphson method; heuristic methods - gradient only - gradient and Hessian type Newton - unidimensional optimization).
Responsible(s)
-
Content(s)
Basics of mathematical analysis (linear analysis and applications)
Linear algebra oriented toward data representation and solving differential problems
PrerequisitesMathematics Course I.
In particular, matrix calculation is an essential basis. Ensure that the math I elements are mastered.
Polynomials are very important
To a lesser extent, Taylor, complex and rational fractions
Accessibility for people with disabilities : please contact us for further information
Test
Written exam
The exam can be recovered in session 2
note = note du DS et TD
Calendar
The course exists in the following branches:
- Curriculum - Pagora Engineer - Apprentice - Semester 6
Additional Information
Course ID : 3FMA1009
Course language(s): 
You can find this course among all other courses.
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