2009 Spring MATH 104-01
Bulletin Course Description Systems of linear equations and elementary row operations, Euclidean n-space and subspaces, linear transformations and matrix representations, Gram-Schmidt orthogonalization process, determinants, eigenvectors and eigenvalues; applications. Not open to students who have taken Mathematics 107. Instructor: Staff
(Instructor named in bulletin description above may not be current. For current instructor, see listing below.)
Title LINEAR ALGEBRA & APPLICA Department MATH Course Number 2009 Spring 104 Section Number 01 Primary Instructor Bouzarth,Elizabeth L Prerequisites Prerequisite: Mathematics 32, 32L, or 41.
Synopsis of course content
Existence and uniqueness of solutions to systems of linear equations via Gaussian elimination, LU decomposition and fundamental subspaces associated to a matrix, linear transformations and matrix representations, least-squares approximate solution of linear equations, Gram-Schmidt orthonormalization process, determinants, eigenvectors and eigenvalues, normal forms of matrices, and applications.
Textbooks
To be determined. In the past, this text was used: Theodore Shifrin and Malcolm Adams, Linear Algebra, a geometric approach, W. H. Freeman and Co, New York
Assignments
Weekly
Exams
Midterms and final exams
Term Papers
None
Grade to be based on
Weekly assignments and exams
