Linear Algebra - Syllabus

Course Overview and Structure

Embark on a profound academic exploration as you delve into the Linear Algebra course () within the distinguished Tribhuvan university's CSIT department. Aligned with the 2065 Syllabus, this course (MTH-155) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 80+20 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.

This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.


Course Synopsis: Linear equations in linear algebra, Matrix algebra, Determinants,  Vector spaces, Eigen values and Eigen vectors. Orthogonality and least squares. Symmetric matrices and Quadratic forms.
Goal: This course provides students with the knowledge of fundamental of linear algebra and the theory of matrices. On completion of this course the student will master the basic concepts and acquires skills in solving problems in linear algebra.

Units

Key Topics

  • Systems of Linear Equations
    LI-1.1

    This topic covers the basics of systems of linear equations, including definitions, examples, and methods for solving them.

  • Row Reduction and Echelon Forms
    LI-1.2

    This topic explores the techniques of row reduction and echelon forms, including Gaussian elimination and its applications.

  • Vector Equations
    LI-1.3

    This topic introduces vector equations, including their definitions, properties, and applications in linear algebra.

  • Matrix Equations
    LI-1.4

    This topic covers matrix equations of the form Ax = b, including their solutions, properties, and applications.

  • Solution Sets of Linear Systems
    LI-1.5

    This topic examines the solution sets of linear systems, including the null space, column space, and row space.

  • Linear Independence
    LI-1.6

    This topic explores the concept of linear independence, including definitions, examples, and applications in linear algebra.

  • Introduction to Linear Transformations
    LI-1.7

    This topic introduces linear transformations, including their definitions, properties, and applications in linear algebra.

  • The Matrix of a Linear Transformation
    LI-1.8

    This topic covers the matrix representation of linear transformations, including its properties and applications.

Key Topics

  • Machine Translation
    MA-01

    Exploring the concept of machine translation, including AI and expert systems, with a focus on cause and effect language skills.

  • Multi Media
    MA-02

    Understanding computer-to-video conversion and its applications, with a focus on making predictions language skills.

  • Computer Graphics
    MA-03

    Learning about 24-bit color and its role in computer graphics, with a focus on letter writing language skills.

  • Basic Mail Server Configuration
    MA-04

    Configuring popular mail servers such as Sendmail, Postfix, Qmail, and Exim, including setup and basic configuration.

  • SPAM Control and Filtering
    MA-05

    Implementing effective SPAM control and filtering techniques to prevent unwanted emails and improve mail server security.

  • Troubleshooting Mail Servers
    MA-06

    Identifying and resolving common issues and errors in mail server configuration and operation.

Key Topics

  • Designing Databases
    DE-1

    This topic covers the fundamentals of designing databases, including the relational database model, normalization, and transforming E-R diagrams into relations.

  • Designing Forms and Reports
    DE-2

    This topic focuses on designing forms and reports, including formatting and assessing usability to create effective user interfaces.

  • Designing Interfaces and Dialogues
    DE-3

    This topic explores the design of interfaces and dialogues, including interaction methods and devices, and designing interfaces and dialogues in graphical environments.

Key Topics

  • Vector Spaces and Subspaces
    VE-1

    Introduction to vector spaces and subspaces, including their definitions and properties.

  • Null Spaces, Column Spaces, and Linear Transformations
    VE-2

    Exploration of null spaces, column spaces, and linear transformations, including their relationships and applications.

  • Linearly Independent Sets and Bases
    VE-3

    Discussion of linearly independent sets and bases, including their definitions, properties, and importance in vector spaces.

  • Coordinate Systems
    VE-4

    Introduction to coordinate systems, including their definition, importance, and applications in vector spaces.

  • Dimension of a Vector Space
    VE-5

    Exploration of the dimension of a vector space, including its definition, properties, and importance.

  • Rank
    VE-6

    Discussion of rank, including its definition, properties, and importance in linear algebra.

  • Change of Basis
    VE-7

    Introduction to change of basis, including its definition, importance, and applications in linear algebra.

Key Topics

  • Eigenvectors and Eigenvalues
    EI-1

    Introduction to eigenvectors and eigenvalues, including their definitions and importance in linear algebra.

  • The Characteristic Equations
    EI-2

    How to find the characteristic equation of a matrix and its role in determining eigenvalues.

  • Diagonalization
    EI-3

    The process of diagonalizing a matrix and its applications in linear algebra.

  • Eigenvectors and Linear Transformations
    EI-4

    The relationship between eigenvectors and linear transformations, including how eigenvectors are affected by linear transformations.

  • Complex Eigenvalues
    EI-5

    How to work with complex eigenvalues, including finding and interpreting them.

  • Discrete Dynamical Systems
    EI-6

    The application of eigenvalues and eigenvectors to discrete dynamical systems.

Key Topics

  • Population Size and Distribution
    OR-1

    Understanding the demographics of a society, including population size, density, and distribution, and its impact on social life. This topic explores how population dynamics shape social structures and institutions.

  • Culture
    OR-2

    Examining the shared values, beliefs, and practices that define a society, including its norms, customs, and traditions. This topic delves into the role of culture in shaping social behavior and institutions.

  • Community
    OR-3

    Analyzing the social bonds and relationships that form communities, including their characteristics, types, and functions. This topic explores the importance of community in social life.

  • Norms and Values
    OR-4

    Understanding the unwritten rules and expectations that govern social behavior, including norms, values, and sanctions. This topic examines how norms and values shape individual and group behavior.

  • Status and Role
    OR-5

    Examining the social positions and expectations associated with different statuses and roles, including their impact on social behavior and relationships. This topic explores the dynamics of status and role in social life.

  • Institutions: Marriage and Family
    OR-6

    Analyzing the social structures and relationships within marriage and family institutions, including their functions, types, and changes over time. This topic explores the significance of marriage and family in social life.