Linear algebra for students intending to study Actuarial Science, Applied Mathematics, Astrophysics, Mathematics, Medical Physics, Physics, and Statistics. Vector geometry; linear equations; spanning sets and linear independence; matrix algebra; subspaces, bases, dimension and rank; introduction to linear transformations; determinants; eigenvalues and eigenvectors; similarity and diagonalization; Markov chains and other applications.