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.
Sections
| LEC 1 | MWF 12:00 - 12:50
| | Lauren DeDieu | | Outline |
| Notes: See course outline for detailed class schedule |
| TUT 1 | T 14:00 - 14:50
| | | | |
| Notes: See course outline for detailed class schedule |
| TUT 2 | T 16:00 - 16:50
| | | | |
| Notes: See course outline for detailed class schedule |
This course will be offered next in
Spring 2021.