Course Description 

In this course the student will appreciate the importance of linear algebra and learn its applicability to practical engineering problems. Topics include: Systems of linear equations, row reduction and echelon forms, solution sets of linear systems, linear transformations. Matrix algebra, matrix operations, inverse of a matrix, matrix factorizations, subspaces of the Euclidean n-space, dimension and rank. Determinants, Cramer's rule. Eigenvalues and eigenvectors, diagonalization. Inner product, length, and orthogonality, Gram-Schmidt process.

Course ID: MATH 302

Credit hours Theory Practical Laboratory Lecture Studio Contact hours Pre-requisite
3 2 2 4 MATH 262
Published on: 12 May 2014
Last update on: 09 October 2023
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