Linear Algebra: Course Information

Related lectures (24)

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Explores matrix operations, rank determination, kernel dimensions, and basis concepts in linear algebra.

Explores vector spaces, focusing on properties, examples, and subspaces within a practical exercise on polynomials.

Covers the concept of convex functions and their applications in optimization problems.

Explores linear models, least squares, Gaussian vectors, and model selection methods.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Covers linear independence, bases, and coordinate systems with examples and theorems.

Covers bases, linear dependencies, injective and surjective transformations, and matrix representation in linear algebra.

Explores linear algebra fundamentals, including key definitions, theorems, and practical applications in mathematics and technology.

Covers the organization of linear algebra course and exercises for civil engineering and environmental sciences students.