Matrices & Vector Spaces (DIS)


Optional discussion 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. Not open to students who have taken Mathematics 216 or 221. Prerequisite: Mathematics 21, 121, 106L, or 111L. Corequisite: Math 218. Pre/corequisite: CompSci 101 (or permission of instructor). Instructor: Staff                

Curriculum Codes