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 10:00 - 11:50
| | Jerrod Smith | | Outline |
| Notes: MATH 271 is highly recommended as a prerequisite.
Will meet 2 days a week, see course outline for details |
| TUT 1 | MW 12:00 - 12:50
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| TUT 2 | MW 12:00 - 12:50
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This course will be offered next in
Fall 2021.