Saeja Kim, PhD

A study of solving systems of linear equations and their related matrices. Topics cover systems of linear equations, matrix theory including matrix factorizations, vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalizations, Gram-Schmidt process, the least-squares problems, the Spectral theorem of a real symmetric matrix, Triangle inequality and Cauchy-Schwarz inequality, possibly Singular Value Decomposition (SVD).

A study of solving systems of linear equations and their related matrices. Topics cover systems of linear equations, matrix theory including matrix factorizations, vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalizations, Gram-Schmidt process, the least-squares problems, the Spectral theorem of a real symmetric matrix, Triangle inequality and Cauchy-Schwarz inequality, possibly Singular Value Decomposition (SVD).

Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Conditions and hours to be arranged.