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Mathematics II

Centering on the "structural hierarchy" of linear algebra, this course covers systems of linear equations, vector spaces, and eigenvalues. It equips students with the "technical" skills to solve matrix equations using the Gauss-Jordan method and understand algebraic structures like groups, rings, and fields.

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TabFlux . Mathematics II . TU . BSC-CSIT

Mathematics II

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Course Title: Mathematics II

Course No: MTH168

Nature of the Course: THEORY

Semester: 2

Full Marks: 60 + 40

Pass Marks: 24 + 16

Credit Hours: 3

Course Description

Course Objectives

Course Contents

1. Linear Equations in Linear Algebra
5 hrs
1.1. Systems and Solutions
  • System of linear equations
  • Row reduction and Echelon forms
  • Vector equations
  • The matrix equations Ax = b
  • Applications of linear system
  • Linear independence
2. Transformation
4 hrs
2.1. Linear Transformations and Applications
  • Introduction to linear transformations
  • The matrix of a linear Transformation
  • Linear models in business, science, and engineering
3. Matrix Algebra
5 hrs
3.1. Matrix Operations and Properties
  • 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
4 hrs
4.1. Determinant Theory and Applications
  • Introduction
  • Properties
  • Cramer's rule
  • Volume and linear transformations
5. Vector Spaces
5 hrs
5.1. Vector Space Fundamentals
  • Vector spaces and subspaces
  • Null spaces, Column spaces, and Linear transformations
  • Linearly independent sets: Bases
  • Coordinate systems
6. Vector Space Continued
4 hrs
6.1. Advanced Vector Space Topics
  • Dimension of vector space and Rank
  • Change of basis
  • Applications to difference equations
  • Applications to Markov Chains
7. Eigenvalues and Eigen Vectors
5 hrs
7.1. Eigenvalue Theory and Applications
  • 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
5 hrs
8.1. Orthogonal Systems and Applications
  • Inner product, Length, and orthogonality
  • Orthogonal sets
  • Orthogonal projections
  • The Gram-Schmidt process
  • Least squares problems
  • Application to linear models
  • Inner product spaces
  • Applications of inner product spaces
9. Groups and Subgroups
5 hrs
9.1. Group Theory Fundamentals
  • Binary Operations
  • Groups
  • Subgroups
  • Cyclic Groups
10. Rings and Fields
4 hrs
10.1. Ring and Field Theory
  • Rings and Fields
  • Integral domains

Text Books

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

Notes:

Source:

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.

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.

This syllabus follows the official B.Sc. CSIT curriculum of Tribhuvan University. In case of any doubt or revision, the university's published syllabus shall be considered authoritative.