Matrices & Vector Spaces (LAB)

MATH218L (primary)

Optional lab section for Math 218: solving systems of linear equations, matrix factorizations and fundamental vector subspaces, orthogonality, least squares problems, eigenvalues and eigenvectors, the singular value decomposition and principal component analysis, applications to data-driven problems. Intended primarily for students in computer science and other data-focused sciences. Prospective math majors should take Mathematics 221 instead. Can only be taken with Math 218. Recommended prerequisite: Mathematics 21, 121, 106L, or 111L. Pre/corequisite: Computer Science 101. Not open to students who have taken Mathematics 216 or 221. Instructor: Staff

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