Reduction of Endomorphisms introduces students to more conceptual algebraic subjects. More precisely, students explore the fundamental structures of algebra including groups, rings, and fields. Topics covered in this course are designed to prepare students for later questions related to symmetry (including those arising in physics) and number theory. This course also covers the study of polynomials, including their application, to further develop techniques acquired from linear algebra.

Reduction of Endomorphisms introduces students to more conceptual algebraic subjects. More precisely, students explore the fundamental structures of algebra including groups, rings, and fields. Topics covered in this course are designed to prepare students for later questions related to symmetry (including those arising in physics) and number theory. This course also covers the study of polynomials, including their application, to further develop techniques acquired from linear algebra.

- Teaching coordinator: Burguet David
- Teaching coordinator: Conforti Giovanni
- Teaching coordinator: He Tongmu
- Teaching coordinator: Ribeiro Gabriel
- Teaching coordinator: Sorgdrager Reinier
- Teaching coordinator: Zhang Haowen

- Teaching coordinator: Burguet David

MAA202 is divided into two parts, the first one more

theoretical than and setting the foundations of the

second one. The theoretical part covers the

fundamentals of topology of normed vector spaces and

of topology in finite dimension. The second part, more

computational, covers differentiation and integration in

several (real) variables.

Analysis (MAA 202) builds on the concepts and techniques introduced in Analysis 102. In particular, students cover notions in topology.

- Teaching coordinator: Alves Sampaio Paulo Elpidio
- Teaching coordinator: Conforti Giovanni
- Teaching coordinator: Ertzbischoff Lucas
- Teaching coordinator: Morabito Francesco
- Teaching coordinator: Pichon Eric
- Teaching coordinator: Stingo Annalaura

- Teaching coordinator: Stingo Annalaura

MAA203 covers a wide-range of important notions in probability theory and focuses in particular on discrete and continuous random variables with examples in modelling. A particular emphasis is put on how to perform and use computer simulations.

MAA203 covers a wide-range of important notions in probability theory and focuses in particular on discrete and continuous random variables with examples in modelling. A particular emphasis is put on how to perform and use computer simulations.

- Teaching coordinator: Bertucci Charles
- Teaching coordinator: Madrid Canales Ignacio
- Teaching coordinator: Rosenbaum Mathieu
- Teaching coordinator: Van Biesbroeck Antoine

MAA204 is an introductory course in statistics, with

complements in probability.

Topics include displaying and describing data,

multivariate distributions, Central Limit Theorem and

introduction to statistical inference (estimators,

confidence intervals and hypothesis testing).

MAA204 is an introductory course in statistics, with complements in probability. Topics include displaying and describing data, writing a statistical model, introduction to statistical inference, confidence intervals, approximations with the Central Limit Theorem.

- Teaching coordinator: Bardet Jean Marc
- Teaching coordinator: Bassou Leila
- Teaching coordinator: Conforti Giovanni
- Teaching coordinator: Metivier David

Prerequisites: MAA101, MAA104, CSE101

The purpose of this course is to use computer

science and programming to solve

problems in Discrete Mathematics, and

vice versa.

The main objectives of the course are:

❯ Learning to use various tools (recursivity,

symbolic computing, graphs,

matrices…) to deal with complex

problems.

❯ Using computer programming and

experimentation to help prove theorems.

❯ Improving intuition in pure and applied

Mathematics.

Discrete Mathematics happen to offer

a lot of aspects that lend themselves to

computer experimentation. Topics may

include: graphs and adjacency matrices,

number theory, logic, analysis of algorithms,

dynamical systems, elementary

probability…

The course will mainly consist of practical

labs in Python.

The purpose of MAA205 is to use computer science and programming to solve problems in discrete mathematics, and vice versa. Topics include: graphs and their matrices, combinatorics and generating functions, elementary probability, sorting algorithms. The course consists of lectures and practical labs in python.

- Teaching coordinator: Conforti Giovanni
- Teaching coordinator: Gerin Lucas