Teaching Linear Algebra Inclusively: Exam Structure and Student Performance

Related lectures (24)

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Covers linear applications, matrices, transformations, and the principle of superposition.

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

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

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Explains the Wronskian and its role in determining linear independence of solutions to differential equations.

Explores equilibrium in 3D structures, constraints, types of supports, and categories of equilibrium.

Explores change of basis matrices in linear algebra, emphasizing the importance of understanding matrix transformations between different bases.

Covers linear algebra basics, including matrices, change of basis, and invertible matrices.

Introduces linear applications, span, kernels, and images in vector spaces with illustrative examples and theorems.

Explores linear applications in 3D, emphasizing images, kernels, and solution uniqueness in systems.