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 ENGR/MATH 223, ENGR 123 or MATH 253. Cross-listed as MATH 223. Prerequisite: ENGR 122 or MATH 122. Three credits and two-hour lab.