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    Moodle is an open-source Learning Management System (LMS) that provides educators with the tools and features to create and manage online courses. It allows educators to organize course materials, create quizzes and assignments, host discussion forums, and track student progress. Moodle is highly flexible and can be customized to meet the specific needs of different institutions and learning environments.

    Moodle supports both synchronous and asynchronous learning environments, enabling educators to host live webinars, video conferences, and chat sessions, as well as providing a variety of tools that support self-paced learning, including videos, interactive quizzes, and discussion forums. The platform also integrates with other tools and systems, such as Google Apps and plagiarism detection software, to provide a seamless learning experience.

    Moodle is widely used in educational institutions, including universities, K-12 schools, and corporate training programs. It is well-suited to online and blended learning environments and distance education programs. Additionally, Moodle's accessibility features make it a popular choice for learners with disabilities, ensuring that courses are inclusive and accessible to all learners.

    The Moodle community is an active group of users, developers, and educators who contribute to the platform's development and improvement. The community provides support, resources, and documentation for users, as well as a forum for sharing ideas and best practices. Moodle releases regular updates and improvements, ensuring that the platform remains up-to-date with the latest technologies and best practices.

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Available courses

Mathématique (Analyse)

e cours sur les matrices et les valeurs propres introduit les notions fondamentales de l'algèbre linéaire. On y étudie les matrices carrées, leur multiplication, leur inverse (lorsqu’elle existe), et leur rôle dans les systèmes linéaires. Une attention particulière est portée aux matrices diagonalisables et aux transformations linéaires. Le concept de valeur propre (ou eigenvalue) est central : il s'agit d'un scalaire associé à une direction invariante sous une transformation. Le vecteur propre est le vecteur associé qui reste colinéaire après application de la matrice. On apprend à les calculer via le polynôme caractéristique. Ces outils sont essentiels en physique, statistiques, informatique (PCA, réseaux neuronaux) et systèmes dynamiques. Le cours inclut aussi des méthodes de diagonalisation, de réduction, et d’analyse de stabilité. La compréhension intuitive et géométrique est renforcée par des exemples concrets.