Ce cours d'Algebre Lineaire (Partie 2) est parfait pour ceux qui souhaitent approfondir leurs connaissances en économie, ingénierie, physique ou statistique, ou tout simplement pour admirer la beauté de la matière. Il offre une introduction complète à l'algebre lineaire et ses applications.
Applications of Linear Algebra Part 2
4.5
Edx972 learners
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This course is the second part of a two-part series on the applications of linear algebra. It builds on the first part, providing further insight into how linear algebra can be used to manage and analyze large datasets. Students will learn how to use linear algebra to solve real-world problems and gain a better understanding of the data deluge.
Linear Algebra III: Determinants and Eigenvalues
5.0
Edx150 learners
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This course introduces students to the concept of determinants and eigenvalues. It covers the invertibility criterion for a square matrix, the Cramer's rule, and the eigenvalue problem. Students will learn how to calculate the determinant of a matrix and how to use it to solve linear systems. They will also explore the properties of eigenvalues and eigenvectors.
Differential Equations: Linear Algebra and NxN Systems of Differential Equations
5.0
Edx577 learners
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This course covers the fundamentals of linear algebra and systems of differential equations. It explores how to model phenomena using systems of interacting differential equations, and how to solve them using linear algebra. Students will gain an understanding of the mathematical language used to describe the world around us.
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