Mathematics and Statistics

Mathematics and Statistics

MATH251-10S1 (C)

Linear Systems

This is a first semester course worth 11 points.

Message of the Day

Posted by John Hannah on July 15 2010, 2:12 pm

Last post! Exam solutions, markers' comments and various graphs of results for Semester 1 have now been posted in the 'Previous Tests and Exams' section of the Course Material part of the course webpages.

Good luck for Semester 2!

Course Information

Linear algebra is an essential part of the mathematical toolkit required in the modern study of many areas in the behavioural, natural, physical and social sciences, in engineering, in business, in computer science, and in pure and applied mathematics and statistics. This course begins to develop the fundamental concepts of linear algebra, emphasizing practical applications. The computer package MATLAB will be used to do some numerical calculations and graphing.

Students should continue with MATH252 after finishing MATH251.

Topics

Systems of linear equations. Iterative methods. Efficiency of algorithms. Matrix algebra. LU decomposition. Subspaces, linear dependence, basis, dimension, rank and nullity. Matrices and linear transformations. Orthogonality. Projections. Gram-Schmidt process. QR decomposition.

Class Representative

Text

Poole, Linear Algebra: A Modern Introduction, Brookes/Cole.

Enquiries

Dr John Hannah
Room 712 Erskine Building
Phone Extension 7685
Homepage