Linear Algebra with Applications
Listed in: Mathematics and Statistics, as MATH-22
David A. Cox (Section 01)
The study of vector spaces over the real and complex numbers, introducing the concepts of subspace, linear independence, basis, and dimension; systems of linear equations and their solution by Gaussian elimination; matrix operations; linear transformations and their representations by matrices; eigenvalues and eigenvectors; and inner product spaces. Additional topics include ill-conditioned systems of equations, the LU decomposition, covariance matrices, least squares, and the singular value decomposition. Recommended for Economics majors who wish to learn linear algebra. Four class hours per week, with occasional in-class computer labs.
Requisite: Mathematics 12 or consent of the instructor. This course and Mathematics 21 may not both be taken for credit. Spring semester. Professor Cox.
Offerings2015-16: Offered in Fall 2015 and Spring 2016
Other years: Offered in Fall 2007, Spring 2008, Fall 2008, Spring 2009, Spring 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015