- Teaching coordinator: Conforti Giovanni
- Teaching coordinator: Madrid Canales Ignacio

Prerequisite: : MAA203

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.

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: Mantoux Clément
- Teaching coordinator: Talbi Mehdi

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: Gerin Lucas
- Teaching coordinator: Kerleguer Baptiste