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May 10, 2024
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MATH 412 Linear AlgebraCredit 3
This course covers matrix algebra and determinants, vector spaces, subspaces, basis and dimension, inner product, orthogonal and orthonormal vectors and sets, Gram-Schmidt orthogonalization process, linear transformations, eigenvalues and eigenvectors, kernel and range, diagonalization of matrices, and quadratic forms. Also, application of linear algebra to Error-Correcting Codes and linear programming are covered. Prerequisite: MATH 211 and MATH 232 with a grade of ‘C’ or better. Prerequisite(s): A grade of ‘C’ or better in MATH 212 and MATH 232
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