ASE-8016 Advanced Topics in Automation Science and Engineering , 1-10 cr

Implementation ASE-8016 2018-01

Description

Matrix Analysis (5 credits)

This course provides a bridge between undergraduate-level matrix theory/linear algebra and the level of matrix analysis required for graduate-level study and research. The course also looks at applications of matrix theory such as differential/difference equations and linear system theory. Prerequisite MAT-60006 Matrix Algebra or equivalent.

Topics: Vector Spaces; Linear Transformations; Pseudoinverse; Singular Value Decomposition; Linear Equations; Projections, Inner Product Spaces, and Norms; Linear Least Squares Problems; Eigenvalues and Eigenvectors; Canonical Forms; Linear Differential and Difference Equations; Generalized Eigenvalue Problems; Kronecker Products

Lessons

Assessment scale

Numerical evaluation scale (0-5)

Requirements

Students self-study the textbook, do homework problems, and present problem solutions in class.

Additional information of course implementation

This implementation is equivalent to MAT-68007 2018-03. A student may receive credit for at most one of the equivalent implementations.

Study material