• Training structure

    Faculty of Science

Presentation

The second year of the bachelor's degree in mathematics (L2 General Mathematics) is a stage for acquiring fundamental knowledge and orientation. A first group of teaching units provides the foundation of knowledge and skills that are essential for all mathematics students, regardless of their future role and field of activity. These teaching units are based on the following fundamental pillars: algebra and polynomials, differential and integral calculus, sequences and series.

A second group of teaching units provides support for students throughout their training. These include more digital methodology elements using IT tools related to numerical analysis, elements of reasoning in probability theory, elements for further study of modern languages, and future orientation (PPE).

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Objectives

 - Acquire solid knowledge in mathematics

 - Acquire abstract thinking and problem-solving skills

 - Acquire writing and communication skills

 - Learn to program

 - Develop a working method, an ability to synthesize information, precision, and rigor.

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Know-how and skills

The skills acquired during the three-year bachelor's degree in mathematics provide students with in-depth knowledge of mathematics, enabling them to pursue various master's degrees focused on fundamental mathematics, teaching, or more applied mathematics.

The second year of the bachelor's degree is a key stage in developing these skills.

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Program

The year is organized into two semesters:

Semester 1:                                                                                                                                                                                                                                                           

 - Algebra III Reduction of Endomorphisms (6 ECTS)

 - Analysis III: Integration and Elementary Differential Equations (6 ECTS)

 - Arithmetic of Polynomials (3ECTS)

 - Probability (5 ECTS)

 - Elementary Numerical Analysis (3ECTS)

 - English (2 ECTS)

 - 1 additional EU following the minor in computer science or physics

 

Semester 2:

 - Algebra IV Euclidean Spaces (6 ECTS)

 - Analysis IV: Function sequences, entire series, Fourier (8 ECTS)

 -Topology of R^n and functions of several variables (5 ECTS)

- Statistics (3 ECTS)

 - Numerical Linear Algebra (4 ECTS)

 - Mathematics PPE (2 ECTS)

 - English 2 ECTS)

 

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  • English S3

    2 credits
  • Analysis III: Integration and Elementary Differential Equations

    6 credits
  • Probabilities

    5 credits
  • Algebra III Reduction of Endomorphisms

    6 credits
  • Polynomial arithmetic

    3 credits
  • OPTION 1

    5 credits
    • Choose one of two options:

      • Object modeling and programming 1

        5 credits
      • OPTION 2

        5 credits
        • Choose 2 out of 2

          • Math oral exam

            1 credit
          • Thermodynamics 2

            36h
  • Elementary numerical analysis

    3 credits
  • ASTRE's scientific approach to ecological transition

    2 credits
  • English S4

    2 credits
  • Analysis IV Function sequences, entire series, Fourier

    8 credits
  • Topology of R^n and functions of several variables

    5 credits
  • Algebra IV Euclidean spaces

    6 credits
  • Statistics

    3 credits
  • Numerical linear algebra

    4 credits
  • PPE in mathematics

    2 credits

Admission

Admission requirements

Applications can be submitted on the following platforms: 

 

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Target audience

This program is open to anyone who has successfully completed a first year of CUPGE or a first year of mathematics at the University of Montpellier.

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Mandatory prerequisites

Have completed a first year of university studies in science, preferably with a focus on mathematics

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Recommended prerequisites

Solid knowledge of introductory linear algebra and real analysis from the first year of a bachelor's degree.

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And after

Continuing education

towards a bachelor's degree in mathematics

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Professional integration

This program paves the way for careers in teaching and/or research and for careers in engineering after completing a specialized master's degree (or equivalent).

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