Systems of linear equations; their representation with matrices and vectors; their generalization to linear transformations on abstract vector spaces; and the description of these linear transformations through quantitative characteristics such as the determinant, the characteristic polynomial, eigenvalues and eigenvectors, the rank, and singular values. [Offered F,W] Prereq: Level at least 2A Computer Engineering or Electrical Engineering students only. Antireq: MATH 114, 115, 106/125, 136, 146, NE 112
