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Overview
Mathematics & Statistics (Sci) : Complex numbers. Systems of linear equations, matrix algebra, determinants. Subspaces of euclidean space, linear dependence and independence, bases. Bilinear and quadratic forms. The Gram-Schmidt process. Eigenvalues and eigenvectors, diagonalization. Orthogonal diagonalization of symmetric matrices. This course is intended for students in mathematics and physical sciences.
Terms: Fall 2012
Instructors: Clay, Adam (Fall)
Restriction: Not open to students who are taking or have taken MATH 133