Algebra (MAA101) is a fast-paced course which provides students with an overview of the most useful techniques of linear algebra.

- Teaching coordinator: Nathalie Andres
- Teaching coordinator: Stéphane Bijakowski
- Teaching coordinator: Hernán Alberto Iriarte Carrasco
- Teaching coordinator: Igor Kortchemski
- Teaching coordinator: Matthieu Piquerez

- Teaching coordinator: Yvan Martel
- Teaching coordinator: Frank Pacard
- Teaching coordinator: Paul Thevenin
- Teaching coordinator: Julie Tourniaire

Discrete Mathematics MAA 103 (Year 1) has two main objectives: (i) teach fundamental concepts in discrete mathematics, which are the building blocks of many different areas of science and of advanced mathematics (ii) teach how to write proofs. The cours strarts with elementary logic (e.g. quantifiers, different methods of proof), sets, and functions. The second part of the course introduces students to combinatorics and probability (on finite sets).

The lectures will closely follow the textbook Mathematics: A Discrete Introduction (3rd Edition) by Scheinerman. For a different presentation and broader applications concerning computer science, one may have a look at Discrete Mathematics with Applications by Epp.

**Course webpage: **http://www.cmap.polytechnique.fr/~kortchemski/dmaths/

Discrete Mathematics (MAA103) begins by introducing students to the central notions needed to pursue advanced mathematics, such as elementary logic (e.g. quantifiers, different methods of proof), sets, and functions. The second part of the course introduces students to combinatorics and probability (on finite sets). Course material is supplemented with examples and applications, such as graphical modeling and generating functions.

- Teaching coordinator: Mathieu Kohli
- Teaching coordinator: Igor Kortchemski
- Teaching coordinator: Matthieu Leautaud
- Teaching coordinator: Benoit Tran

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

The aim of Introduction to Numerical Analysis (MAA 106) is to provide the students with practical knowledge of basic mathematical algorithms and computer programming.

The course is divided into 5 cycles and covers several notions such as the representation of numbers, the complexity of algorithms, interpolation of functions, numerical integration, solving equations and optimization problems. We focus on the practical implementation of the methods, using in particular Python notebooks which enable to test easily the algorithms with multiple parameters for instance.

The last three weeks of the course are devoted to a more personal project that will allow the student to understand deeper a notion seen in class. A public defense of this work concludes the course. The grading of the course includes the project and a homework that needs to be given back at the end of each cycle of the course.

- Teaching coordinator: Martin Averseng
- Teaching coordinator: Mathilde Boissier
- Teaching coordinator: Matthieu Leautaud
- Teaching coordinator: Aline Lefebvre-Lepot
- Teaching coordinator: Léa Nicolas

- Teaching coordinator: Vincent Bansaye
- Teaching coordinator: Céline Bonnet
- Teaching coordinator: Matthieu Leautaud
- Teaching coordinator: Thibaut Mastrolia
- Teaching coordinator: Othmane Mounjid

- Teaching coordinator: Frank Pacard