- Teaching coordinator: Vincent De Daruvar
- Teaching coordinator: Javier Fresan
- Teaching coordinator: Matthieu Leautaud
- Teaching coordinator: Juanyong Wang

## Search results: 5

- Teaching coordinator: Javier Fresan
- Teaching coordinator: Vincent Humilière
- Teaching coordinator: Dorian Ni
- Teaching coordinator: Saeed Sadeghi Arjmand

- Teaching coordinator: Javier Fresan
- Teaching coordinator: Vincent Humilière

Prerequisites: MAA104, MAA105

MAA201 continues the study of linear

maps between vector spaces, started in

MAA101. The goal is to obtain simple

and efficient models for these applications

up to suitable changes of coordinates. The

concept of duality is initially introduced

in the general context of mere vector

spaces. Then, the focus is put on vector

spaces enjoying a richer structure, namely

prehilbert spaces, which is available in

most applications (e.g. in solid mechanics

or in quantum mechanics). The geometry

of these spaces, as well as their important

transformations (e.g. normal or unitary

maps) is also discussed.

Course description: MAA201 continues the study of linear maps between vector spaces, started in MAA101. The goal is to obtain simple and efficient models for these applications up to suitable changes of coordinates. The concept of duality is initially introduced in the general context of mere vector spaces. Then, the focus is put on vector spaces enjoying a richer structure, namely prehilbert spaces, which is available in most applications (e.g. in solid mechanics or in quantum mechanics). The geometry of these spaces, as well as their important transformations (e.g. normal or unitary maps) is also discussed.

- Teaching coordinator: Eduard Balzin
- Teaching coordinator: Dorian Karim Chanfi
- Teaching coordinator: Alexandra Kuznetsova
- Teaching coordinator: Maria Caterina Valcu

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: Lucas Gerin
- Teaching coordinator: Baptiste Kerleguer