Matrix Algebra

Undergraduate

Systems of linear equations, matrices, vectors in two and three dimensions, row reduction and echelon forms, linear independence and span, linear transformations, matrix operations, Invertible Matrix Theorem, subspaces, determinants, Cramer's Rule, eigenvectors and eigenvalues; a computational approach, with applications. (3h lecture, 1.5h lab). Prerequisite(s): Mathematics 11 and 12, or Precalculus 11 and 12, or MATH 1003. Antirequisite(s): MATH 1333.