Applied Linear Algebra 3,

4 Credits

The theoretical basis for applying linear algebra in other fields, including statistics. Topics will include systems of equations, vector spaces, matrices, and linear transformations. Additional topics will include matrix factorizations (including LU, QR, eigen-decomposition, and SVD) and how they can be used in computer analysis of data sets. Not available for credit to students who have completed MATH 242 or STAT 342 . Prerequisites: MATH 022 or MATH 032 or MATH 052 or MATH 082 Attribute/Distribution: Q