MATRICES & VECTOR SPACES (DIS)

MATH218D.01

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. Corequisite: Math 218. Recommended Instructor: Staff

Prerequisite: 
prerequisite: Mathematics 21, 121, 106L, or 111L. Pre/corequisite: Computer Science 101. Not open to students who have taken Mathematics 216 or 221.
Instructor: Bar-On, Rann
Time: TuTh 11:45am-1:00pm
Location: Physics 150