Module Description:
Matrices and their operations, Types of matrices, Elementary transformations, Linear systems of equations.(homogeneous and non-homogeneous), Solving Linear systems by Kramer,s Rule and Gaus Jordan, Determinants, elementary properties, Inverse of a matrix, Vector spaces, linear independence, finite dimensional spaces, linear subspaces, Inner product spaces, Linear transformations, kernel and image of a linear transformation, Eigen values and Eigen vectors of a matrix and of a linear operator.
Module Aims:
· Know the basic operations on matrices.
· Be able to solve systems of homogeneous and non-homogenous linear equations.
· Be able to solve find the inverse of matrix.
· Understanding the concepts of vectors, and vector space.
Learning Outcomes:
· Understand the basic concepts of linear algebra, such as matrices and its operations, determinate.
· Identification of linear systems and ways of solving them.
· Understanding the concept of vector space and its related topics such as linear independence, finite dimensional spaces.
· Identify the basis and Dimension and the rank of the matrix, inner product and linear transformation.
· To be able to do matrix operations and compute the deter
· The ability to find the invers of the matrix.
· To identify the linear combination , linear dependent and linear independence
· The development of the student's ability to use these concepts.
· The development of the student's ability to apply the above principles in practical applications.
Textbook:
Elementary Linear Algebra with applications, Howard Anton, Wiley & Sons.Edition: 9th Edition