Mathematics
MTH001
Elementary Mathematics
MTH100
General Mathematics
MTH101
Calculus And Analytical Geometry
MTH201
Multivariable Calculus
MTH202
Discrete Mathematics
MTH301
Calculus II
MTH302
Business Mathematics & Statistics
MTH303
Mathematical Methods
MTH401
Differential Equations
MTH501
Linear Algebra
MTH601
Operations Research
MTH603
Numerical Analysis
MTH501 - Linear Algebra
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Course Category: Mathematics
Course Level: Undergraduate
Credit Hours: 3
Pre-requisites: N/A

Course Synopsis

This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. The goals of this subject are, how we can use Linear Algebra and its numerical applications in different fields.

Course Learning Outcomes

Upon completing this course students should be able :
  • To master the techniques for solving systems of linear equations.
  • To introduce matrix algebra as a generalization of single-variable algebra of high school
  • To build on the background in Euclidean space and formalize it with vector space theory
  • To relate linear methods to other areas of mathematics such as calculus and differential equations
  • To develop an appreciation for how linear methods are used in a variety of applications

Course Contents

Systems of Linear Equations, Row Reduction and Echelon Forms, Vector Equations, The Matrix Equation, Solution Sets of Linear Systems, Linear Independence, Linear Transformations, The Matrix of a Linear Transformation, Matrix Algebra, Iterative Solutions of Linear Systems, Determinants, Cramer’s Rule and Linear Transformations, Vector Spaces and Subspaces, Null Spaces, Column Spaces, and Linear Transformations, Linearly Independent Sets, Bases, Coordinate System, Dimension of a Vector Space, Rank, Change of Basis, Applications to Difference Equations,Eigenvalues and Eigenvectors, The Characteristic Equation,Diagonalization, Eigenvectors and Linear Transformations, Complex Eigenvalues, Discrete Dynamical Systems, Applications to Differential Equations, Iterative Estimates for Eigenvalues, Inner Product, Orthogonal and Orthonormal set, Orthogonal Decomposition, Orthogonal basis, Gram-Schmidt Process, Orthonormal basis, Least Square Solution, Inner Product Space, Application of inner product spaces.

Course Related Links

The above link is very useful for the course of linear algebra and you can find the questions and answers related to each topic of this course
You can find the problems and puzzles related to Linear Algebra in this link
A very famous link
It is helpful to compute most of the matrix and other Linear Algebraic operations
An intuitive description of Linear Algebra
Linear Algebra Calculator
Where you can find Video lectures of Khan Academy, VU from school to university level
Very famous lectures by Professor Gilbert Strang from MIT
Many important Math topics in detailed Conceptual and Intuitive way
Online elementary step-by-step problem solver. 1. Pre Algebra 2. Algebra 3. Matrices & Vectors 4. Functions & Graphing 5. Geometry 6. Trigonometry 7. Pre-Calculus 8. Calculus 9. Statistics 10. Chemistry
Course Instructor

Dr. Junaid Zaidi, Ph.d
University of Birmingham,
England (UK)

Books

Linear Algebra and its Applications by David C. Lay
Introductory Linear Algebra by Howard Anton and Chris Rorres

Introductory Linear Algebra with Applications by B. Kolman

Mathematical Methods by S.M.Yusuf, Abdul Majeed, Muhammad Amin

Mathematical Techniques by Dr.Karamat H.Dar, Irfan-ul-Haq, M.Ashraf Jajja


Linear Algebra Demystified by David McMahon