Partial Differential Equations

Explore the programs and courses offered by Partial Differential Equations

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Program Overview

Partial Differential Equations (PDEs) play a fundamental role in many scientific fields, as they enable the modeling and solving of various problems in scientific research and industry through mathematical analysis and numerical simulation. This Master’s program aims to equip students with the necessary mathematical tools to master PDEs and handle them with confidence.

The program includes:

A first semester focused on developing the fundamental mathematical skills required for the study of partial differential equations.

A second semester offering in-depth training in both pure and applied mathematical tools, preparing students for academic and applied research.

An advanced semester in the second year, centered on evolutionary partial differential equations and their applications in modeling biological phenomena, reaction-diffusion systems, image processing, and more..

Teaching Language : Frensh

Curriculum Highlights

Core Courses

First Semester:

Topological Vector Spaces

Distributions and Sobolev Spaces

Finite Differences and Finite Volume Methods

Second Semester:

Elementary Theory of Linear PDEs

Differential Geometry of Surfaces

Fourier Analysis and Sobolev Spaces with Fractional Exponents

Third Semester:

Evolution Equations

Convex Analysis

Nonlinear Elliptic PDEs

Advanced Topics


Admissions Information

Admission to the first year of the Master's program in Partial Differential Equations is open to holders of a Bachelor's degree (LMD system) in Mathematics, as well as to candidates with recognized equivalent foreign qualifications. Admission is granted following a review of the application file by the ranking and orientation committee.

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