BSc. CSIT Second Semester Mathematics II Course Overview

Bsc. Csit 2nd Sem Maths II

Title Mathematics II
Course code MTH 163
Nature of course Theory
Semester Second-Semester
Full marks 80 + 20
Pass marks 32 + 8
Credit Hrs 3
Elective/Compulsory Compulsory

Study Materials:

Notes Books Old Questions

Course Description:

The course contains concepts and techniques of linear algebra. The course topics include systems of linear equations, determinants, vectors and vector spaces, eigen values and eigenvectors, and singular value decomposition of a matrix.

Course Objectives:

The main objective of the course is to make familiarize with the concepts and techniques of linear algebra, solve system of linear equation with Gauss-Jordon method, to impart knowledge of vector space and subspace, eigenvalues and eigenvectors of a matrix and get the idea of diagonalization of a matrix, linear programming, Group, Ring, and Field.

Course Contents:


  1. Linear Equations in Linear Algebra
    Teaching Hours : 5 hrs
    System of linear equations, Row reduction and Echelon forms, Vector equations, The matrix equations Ax = b, Applications of linear system, Linear independence

  2. Transformation
    Teaching Hours : 4 hrs
    Introduction to linear transformations, the matrix of a linear Transformation, Linear models in business, science, and engineering 

  3. Matrix Algebra
    Teaching Hours : 5 hrs
    Matrix operations, The inverse of a matrix, Characterizations of invertible matrices, Partitioned matrices, Matrix factorization, The Leontief input output model, Subspace of Rn , Dimension and rank.

  4. Determinants
    Teaching Hours : 4 hrs
    Introduction, Properties, Cramer’s rule, Volume and linear transformations.

  5. Vector Spaces
    Teaching Hours : 5 hrs
    Vector spaces and subspaces, Null spaces, Column spaces, and Linear transformations, Linearly independent sets: Bases, Coordinate systems 

  6. Vector Space Continued
    Teaching Hours : 4 hrs
    Dimension of vector space and Rank, Change of basis, Applications to difference equations, Applications to Markov Chains 

  7. Eigenvalues and Eigen Vectors
    Teaching Hours : 5 hrs
    Eigenvectors and Eigenvalues, The characteristic equations, Diagonalization, Eigenvectors and linear transformations, Complex eigenvalues, Discrete dynamical systems, Applications to differential equations

  8. Orthogonality and Least Squares
    Teaching Hours : 5 hrs
    Inner product, Length, and orthoganility, Orthogonal sets, Orthogonal projections, The GramSchmidt process, Least squares problems, Application to linear models, Inner product spaces, Applications of inner product spaces

  9. Groups and Subgroups
    Teaching Hours : 5 hrs
    Binary Operations, Groups, Subgroups, Cyclic Groups.

  10. Rings and Fields
    Teaching Hours : 4 hrs
     Rings and Fields, Integral domains

Text Books:

  1. Linear Algebra and Its Applications, David C. Lay, 4th Edition, Pearson Addison Wesley
  2. Linear Algebra and Its Applications, Gilbert Strang, 4th Edition, Addison, CENGAGE Learning.