NS-1102

Linear Algebra

Course ID
NS-1102
Department
Electrical Engineering
Campus
Chella Campus
Level
Undergraduate
Semester
1st
Credit
3 + 0
Method
Lecture

Course Outlines:

System of Linear Equations and Matrices:

Introduction to system of linear equations

Matrix form of system of Linear Equations

Consistent and inconsistent systems

Gauss-Jorden Method

Homogeneous system of equations

Gaussian Elimination method

Vector Equations:

Introduction to vector in plane

Vector in RPn

Vector form of straight line

Linear Combinations

Geometrical interpretation of solution of Homogeneous and Non-homogeneous equation

Applications of Linear Systems:

Traffic Flow Problem

Electric circuit Problem

Economic Model

Linear transformations:

Introduction to linear transformations

Matrix transformations

Domain and range of linear transformations

Geometric interpretation of linear transformations

Matrix of linear transformations

Inverse of a matrix:

Definition of inverse of a matrix

Algorithm to find the inverse of matrices

LU factorization

Determinants:

Introduction to determinants

Geometric meaning of determinants

Properties of determinants

Crammer Rule

Cofactor method for finding the inverse of a matrix

Vector Spaces:

Definition of vector spaces

Subspaces

Spanning set

Null Spaces and column spaces of linear transformation

Linearly Independent sets and basis

Bases for Null space and Kernal space

Dimension of a vector space

Eigen Values and Eigen vectors:

Introduction to Eigen value and Eigen vectors

Computing the Eigen values

Properties of Eigen values

Diagonalization

Applications of Eigen values

Course Learning Outcomes

Teaching Methodology (Proposed as applicable):

Lectures (audio/video aids), Written Assignments/ Quizzes, Tutorials, Case Studies relevant to engineering disciplines, Semester Project, Guest Speaker, Industrial/ Field Visits, Group discussion, Report Writing

Assessment:

Mid Term, Report writing/ Presentation, Assignments, Project Report, Quizzes, Final Term

Suggested Books:

There are 133 total credit hours to complete the Software Engineering degree.