Prerequisite: MATH 132 or 162
This course provides an introduction to linear algebra in abstract vector spaces with an emphasis on Rn, covering topics such as Gaussian elimination, matrix algebra, linear independence and spanning, linear transformations and eigenvalues; software packages such as MAPLE may be used.
Outcome: Students will receive an introduction to abstract mathematics in a setting that encourages the thinking needed in more advanced mathematics courses.
This course provides an introduction to linear algebra in abstract vector spaces with an emphasis on Rn, covering topics such as Gaussian elimination, matrix algebra, linear independence and spanning, linear transformations and eigenvalues; software packages such as MAPLE may be used.
Outcome: Students will receive an introduction to abstract mathematics in a setting that encourages the thinking needed in more advanced mathematics courses.