Mohammad Motamed

MATH 314, Linear Algebra with Applications

General description

This is an introductory course in linear algebra and matrix theory, which are important branches of mathematics concerning vector spaces and matrices. We will study topics that will be useful in other disciplines, including systems of linear equations, matrix arithmetic and matrix algebra, determinants, vector spaces and bases, linear transformations, orthogonal subspaces, least squares problems, inner product spaces, Gram-Schmidth orthogonalization, eigenvalues and eigenvectors, diagonalization, Hermitian matrices, and the singular value decomposition. Emphasis will be given to concepts, computational methods, and applications. MATLAB will be used throughout the course.

Syllabus     Homework Report Format    

Text book

Linear Algebra with Applications by Steven J. Leon, 7th or 8th or 9th edition (required).

Office hours

1) Mondays 13:00-15:00     2) Wednesdays 14:30-15:30     3) by appointment

Course Material

MATLAB Tutorial

Chapter 1 -   Theorems     Examples

Chapter 2 -   Theorems     Examples

Chapter 3 -   Lecture notes   (updated on March 28th, covering sections 3.1 to 3.6)

Chapter 4 -   Lecture notes   (updated on April 11th, covering sections 4.1 to 4.3)

Chapter 5 -   Lecture notes   (updated on April 27th, covering sections 5.1 to 5.4)

Chapter 6 -   Lecture notes   (posted on April 27th, covering section 6.1)







HW6     Solutions to HW6

HW7     Solutions to HW7


  • Midterm: March 7th, 9:30 - 19:45 in class

    Practice Questions for Midterm
  • Final: May 9th, 7:30 - 9:30 in class

    Practice Questions for Final

    Last updated: February 2017