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Course Description Form

Course number and title: EE205A Matrix Analysis for Scientists and Engineers
Credits: 4
Instructor(s)-in-charge: Alan J. Laub (laub@ee.ucla.edu)
Course type: Lecture
Required or Elective: A Signals and Systems course.
Course Schedule:
Lecture: 4 hrs/week
Outside Study: 8 hrs/week
Office Hours: 2 hrs/week
 
Course Assessment:
Homework: Several assignments
Exams: 1 midterm and 1 final
 
Grading Policy: Typically, 20% homework assignments, 35% midterm, and 45% final examination.
Course Prerequisites:
Catalog Description: Preparation: one undergraduate linear algebra course. Designed for first-year graduate students in all branches of engineering, science, and related disciplines. Introduction to matrix theory and linear algebra, language in which virtually all of modern science and engineering is conducted. Review of matrices taught in undergraduate courses and introduction to graduate-level topics.  
Textbook and any related course material:
A. Laub, Matrix Analysis for Scientists and Engineers, SIAM, 2005.
 
Course Website
Topics covered in the course:
Vector spaces and subspaces. Matrix range and nullspaces
Moore-Penrose pseudoinverse
Singular value decomposition
Solution of matrix linear equations
Projections, inner product spaces, norms
Linear least-squares problems
Eigenvalues and eigenvectors
Jordan canonical form
Linear differential and difference equations. Matrix exponentials and powers of a matrix
Kronecker products and applications
Will this course involve computer assignments? NO Will this course have TA(s) when it is offered? NO

:: Last modified: February 2013 by J. Lin ::

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