Linear Algebra for Engineers

Three credits · Undergraduate

Covers geometric vectors in three dimensions; dot product; cross product; lines and planes; complex numbers; systems of linear equations; matrix algebra; matrix inverse; determinants; Cramer’s rule; introduction to vector spaces; linear independence and bases; rank; linear transformations; orthogonality and applications; Gram-Schmidt algorithm; eigenvalues and eigenvectors. Credit will be granted for only one of MATH/ENGR 223, MATH 253 or ENGR 123. Cross-listed as ENGR 223. Prerequisites: MATH/ENGR122. Three credits and two-hour problem session.