MATRICES AND VECTOR SPACES

MATH218.01

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. Instructor: Staff

Prerequisite: 
Prerequisite: Mathematics 21, 121, 106L, or 111L.
Instructor: Fitzpatrick, Brian
Time: MWF 4:55pm-5:45pm
Location: Physics 235