• Training structure

    Faculty of Science

Presentation

The first year of the mathematics degree program (L1 Mathematics and Applications) is a time for acquiring fundamental knowledge and orientation. A first group of teaching units provides a foundation of knowledge and skills that are essential for all students of mathematics, whatever their future role or sector of activity. These teaching units are based on the following fundamental pillars: Algebra, Analysis, Geometry, Arithmetic and Enumeration.

A second group of teaching units complements the training program and the transition from high school to university. It consists of a choice between Calculus and Remediation and an English course. If you choose the computer science minor, this also includes lessons in algorithmics and programming.

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Objectives

- Acquire a solid knowledge of mathematics

- Acquire abstraction and problem-solving skills

- Acquire writing and expression skills

- Learn to program

- Develop a working method, a spirit of synthesis, precision and rigor

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Know-how and skills

The skills acquired during the 3 years of the mathematics bachelor's degree enable students to acquire in-depth knowledge of mathematics, enabling them to go on to various master's degrees in fundamental mathematics, teaching or mathematical applications.

The first year of the bachelor's degree lays the foundations for developing these skills.

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Program

The year is divided into 2 semesters:

Semester 1:

- English S1 (1 ECTS)

- Reasoning and Set Theory (2 ECTS)

- Algebra I Linear systems (5 ECTS)
- Analysis I Functions of one variable and sequences (5 ECTS)

- Geometry in the plane, space and complex plane (4 ECTS)

- Remediation in mathematics or Calculus (3 ECTS)

- Algorithms 1 (5 ECTS)

- Functional programming (5 ECTS)

      

Semester 2:

- English S2 (2 ECTS)

- Analysis II Suites, series, limited developments (6 ECTS)

- Algebra II Vector spaces and linear applications (6 ECTS)

- Arithmetic and counting (6 ECTS)

- Remediation in mathematics or Calculus (3 ECTS)

- Algorithms 2 (5 ECTS)

- C programming (5 ECTS)

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  • Your choice: 1 of 2

    • L1 Porfil Minor Info choice 1

      30 credits
      • Algebra I linear systems

        5 credits
      • Algorithms 1

        5 credits
      • Reasoning and Set Theory

        2 credits
      • Remediation in mathematics

        3 credits
      • Functional programming

        5 credits
      • English S1

        1 credits
      • Geometry in the plane, space and complex plane

        4 credits
      • Analysis I functions of one variable and sequences

        5 credits
    • L1 Profile Info Minor choice 2

      30 credits
      • Algebra I linear systems

        5 credits
      • Calculus CUPGE & maths

        3 credits
      • Algorithms 1

        5 credits
      • Reasoning and Set Theory

        2 credits
      • Functional programming

        5 credits
      • English S1

        1 credits
      • Geometry in the plane, space and complex plane

        4 credits
      • Analysis I functions of one variable and sequences

        5 credits
  • Algorithms 2

    5 credits
  • C programming

    5 credits
  • Arithmetic and counting

    6 credits
  • Algebra II, vector spaces and linear applications

    6 credits
  • English S2

    2 credits
  • Analysis II Suites, series, limited developments

    6 credits

Admission

How to register

Applications can be submitted on the following platforms: 

  • French & European students: follow the ParcourSup procedure
  • International students from outside the EU: follow the "Études en France" procedure: https://pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html
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Target audience

Holder of a baccalaureate or equivalent, with a strong mathematical component (math major strongly recommended).

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Necessary prerequisites

Specializing in maths in the first and last years of secondary school.

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Recommended prerequisites

Expert maths option

NSI specialization is a plus but not essential

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And then

Further studies

L2 mathematics or L2 computer science

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Professional integration

This training opens the way to careers in teaching and/or research, and to engineering careers after a specialized Master's degree (or equivalent).

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