This course is a study of linear systems of equations, vector spaces, and linear transformations. Topics include Gaussian elimination, matrix algebra, determinants, eigenvalues and eigenvectors, diagonalization, linear independence, basis and dimension of vector spaces, orthogonality, Gram-Schmidt process and basic least-squares method. No software is required. Note for those planning to also take EN.625.609 Matrix Theory: EN.625.252 covers a broad range of topics in linear algebra at an introductory level, while EN.625.609 focuses in depth on the fundamental theoretical properties of matrices. EN.625.252 introduces essential proof writing techniques and theoretical background that will be useful for EN.625.609. Course Note: Not for graduate credit Prerequisite: Calculus I
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