Lectures related to Linear Algebra: Projection and Rotation

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

Covers the equilibrium conditions in 3D, system isolation, free-body diagrams, and constraints.

Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.

Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.

Explores vector spaces, subspaces, bases, and linear combinations in R² and R³, including free and linked families.

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

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