An introductory course in the theory of abstract vector spaces: linear independence, spanning sets, basis and dimension; linear transformations and the rank-nullity theorem; the Gram-Schmidt algorithm and orthogonal diagonalization; singular value decomposition and other applications.
This course may not be repeated for credit.
Antirequisite(s)
- Credit for Mathematics 311 and 313 will not be allowed.
SyllabusSections
This course will be offered next in
Spring 2020.