Document Type



This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to application areas such as structural analysis, heat transfer, neural networks, , mechanical vibrations, and image processing in biomedical engineering. A student should familiarize himself/herself with Matlab. All programming assignments will be done in Matlab. A basic knowledge of matrix algebra is required. Prerequisite: MTH 253 or 355; and CS 142 or 241. 4 credit hours.

Publication Date

Winter 2005


College of Engineering and Computer Science


Computer Engineering

Course Number

CEG 416-01


Section 01 of CEG 416: Matrix Computations.