Lectures related to Teaching Linear Algebra Inclusively: Exam Structure and Student Performance

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

Introduces linear algebra concepts, focusing on solving systems of linear equations and their representations.

Covers tensor products, symmetric power, and exterior power of vector spaces, including properties and applications.

Covers the l2-embeddability theorem, isometric embeddings, positive semidefinite matrices, and eigenvalues computation.