Master — Mathematical analysis and applications
How to read this table
- UE : teaching unit, a group of subjects (fundamental, methodological, discovery, transversal).
- Lecture · Tutorial · Lab : weekly hours: lectures, tutorials, lab work.
- Coefficient / Credits : weight of the subject in the average, and credits earned when it is passed (30 per semester).
- Semester hours (15 weeks) : total supervised hours over the semester (15 weeks × weekly hours).
- Personal work : "Other": additional personal work by the student, unsupervised.
Semester 1 M1
30 credits 357h00 hours per semester Lecture 16h30 Tutorial 9h00 Lab 0h
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Functional Analysis 1 Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Distributions and Fourier Analysis 1 Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Differential Calculus Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Convex Analysis Lecture 3h00Tutorial 1h30 63h00 5 credits × 3 40% Continuous assessment · 60% Exam
- Choose 1 subject among 5
-
Approximation Theory Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel X : un module à choisir parmi les cinq proposés. -
Set-Valued Analysis Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel X : un module à choisir parmi les cinq proposés. -
Matrix Analysis Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel X : un module à choisir parmi les cinq proposés. -
Introduction to Image Processing Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel X : un module à choisir parmi les cinq proposés. -
Special Functions and Applications Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel X : un module à choisir parmi les cinq proposés.
-
Mathematical Modelling Lecture 1h30Tutorial 1h30 42h00 2 credits × 2 40% Continuous assessment · 60% Exam
- Choose 1 subject among 2
-
Entrepreneurship and Creativity Workshops Lecture 1h30 21h00 1 credit × 1 100% Exam
Un module à choisir parmi les deux proposés. -
Ethics of Artificial Intelligence Lecture 1h30 21h00 1 credit × 1 100% Exam
Un module à choisir parmi les deux proposés.
Semester total : 30 credits · 357h00 · Coefficient 17
Semester 2 M1
30 credits 357h00 hours per semester Lecture 16h30 Tutorial 9h00 Lab 0h
-
Functional Analysis 2 Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Distributions and Fourier Analysis 2 Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Advanced Complex Analysis Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Convex Optimization Lecture 3h00Tutorial 1h30 63h00 5 credits × 3 40% Continuous assessment · 60% Exam
- Choose 1 subject among 5
-
Fractional Calculus Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Y : un module à choisir parmi les cinq proposés. -
Finite Element Method Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Y : un module à choisir parmi les cinq proposés. -
Control Theory Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Y : un module à choisir parmi les cinq proposés. -
Variational Inequalities Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Y : un module à choisir parmi les cinq proposés. -
Computer Vision Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Y : un module à choisir parmi les cinq proposés.
-
Numerical Simulation Tools Lecture 1h30 21h00 1 credit × 1 40% Continuous assessment · 60% Exam
-
Lean Startup Lecture 1h30Tutorial 1h30 42h00 2 credits × 2 80% Continuous assessment · 20% Exam
Semester total : 30 credits · 357h00 · Coefficient 17
Semester 3 M2
30 credits 357h00 hours per semester Lecture 16h30 Tutorial 9h00 Lab 0h
-
Integral Equations Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Spectral Theory Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Semigroup Theory Lecture 3h00Tutorial 1h30 63h00 6 credits × 3 40% Continuous assessment · 60% Exam
-
Introduction to Nonlinear PDEs Lecture 3h00Tutorial 1h30 63h00 5 credits × 3 40% Continuous assessment · 60% Exam
- Choose 1 subject among 4
-
Differential Inclusions Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Z : un module à choisir parmi les quatre proposés. -
Advanced Models for Image Processing Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Z : un module à choisir parmi les quatre proposés. -
Asymptotic Analysis Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Z : un module à choisir parmi les quatre proposés. -
Numerical Analysis of PDEs Lecture 1h30Tutorial 1h30 42h00 4 credits × 2 40% Continuous assessment · 60% Exam
Optionnel Z : un module à choisir parmi les quatre proposés.
-
Scientific Research Seminar Lecture 1h30Tutorial 1h30 42h00 2 credits × 2 40% Continuous assessment · 60% Exam
-
Methodology and Scientific Writing Lecture 1h30 21h00 1 credit × 1 100% Exam
Semester total : 30 credits · 357h00 · Coefficient 17
Semester 4 M2
30 credits 750h00 hours per semester Lecture 0h Tutorial 0h Lab 0h
Shared with : Partial differential equations and applications · Probability, statistics and applications
-
Final Project with Dissertation 750h00 30 credits × 17
Projet de fin d'études sanctionné par un mémoire.
Semester total : 30 credits · 750h00 · Coefficient 17
