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Tribhuvan university BCA BCA Curriculum Software Project Management

Software Project Management - Syllabus

Course Overview and Structure
Syllabus Notes Old Questions Unit Wise Questions Question Bank

Embark on a profound academic exploration as you delve into the Software Project Management course () within the distinguished Tribhuvan university's BCA department. Aligned with the BCA Curriculum, this course (CACS407) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 100 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.

This 5 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 Description
This course provides the comprehensive knowledge about Software Project Management,
which encompasses with Software Project Planning, Scheduling, Cost Estimation, Risk
management, Quality management and configuration management.
Objectives:

The general objective of this course is to provide fundamental knowledge of
software project management and corresponding software too

Units

Key Topics

  • Errors in Numerical Calculations
    SO-1

    This topic covers the sources of errors in numerical calculations, propagation of errors, and a review of Taylor's Theorem.

  • Trial and Error Method
    SO-2

    This topic explains the trial and error method for solving non-linear equations, including its convergence.

  • Half-Interval Method
    SO-3

    This topic covers the half-interval method for solving non-linear equations, including its convergence.

  • Newton's Method
    SO-4

    This topic explains Newton's method for solving non-linear equations, including its convergence and application to calculating multiple roots.

  • Secant Method
    SO-5

    This topic covers the secant method for solving non-linear equations, including its convergence.

  • Fixed Point Iteration
    SO-6

    This topic explains the fixed point iteration method for solving non-linear equations, including its convergence.

  • Horner's Method
    SO-7

    This topic covers Horner's method for solving non-linear equations.

  • Solving System of Ordinary Differential Equations
    SO-8

    Methods for solving systems of ODEs, including numerical and analytical approaches.

Key Topics

  • Errors in Numerical Calculations
    SO-1

    This topic covers the sources of errors in numerical calculations, propagation of errors, and a review of Taylor's Theorem.

  • Trial and Error Method
    SO-2

    This topic explains the trial and error method for solving non-linear equations, including its convergence.

  • Half-Interval Method
    SO-3

    This topic covers the half-interval method for solving non-linear equations, including its convergence.

  • Newton's Method
    SO-4

    This topic explains Newton's method for solving non-linear equations, including its convergence and application to calculating multiple roots.

  • Secant Method
    SO-5

    This topic covers the secant method for solving non-linear equations, including its convergence.

  • Fixed Point Iteration
    SO-6

    This topic explains the fixed point iteration method for solving non-linear equations, including its convergence.

  • Horner's Method
    SO-7

    This topic covers Horner's method for solving non-linear equations.

  • Solving System of Ordinary Differential Equations
    SO-8

    Methods for solving systems of ODEs, including numerical and analytical approaches.

  • Solution of Higher Order Equations
    SO-9

    Methods for solving higher order ODEs, including reduction of order and numerical methods.

Key Topics

  • Errors in Numerical Calculations
    SO-1

    This topic covers the sources of errors in numerical calculations, propagation of errors, and a review of Taylor's Theorem.

  • Trial and Error Method
    SO-2

    This topic explains the trial and error method for solving non-linear equations, including its convergence.

  • Half-Interval Method
    SO-3

    This topic covers the half-interval method for solving non-linear equations, including its convergence.

  • Newton's Method
    SO-4

    This topic explains Newton's method for solving non-linear equations, including its convergence and application to calculating multiple roots.

  • Secant Method
    SO-5

    This topic covers the secant method for solving non-linear equations, including its convergence.

  • Fixed Point Iteration
    SO-6

    This topic explains the fixed point iteration method for solving non-linear equations, including its convergence.

  • Horner's Method
    SO-7

    This topic covers Horner's method for solving non-linear equations.

Key Topics

  • Errors in Numerical Calculations
    SO-1

    This topic covers the sources of errors in numerical calculations, propagation of errors, and a review of Taylor's Theorem.

  • Trial and Error Method
    SO-2

    This topic explains the trial and error method for solving non-linear equations, including its convergence.

  • Half-Interval Method
    SO-3

    This topic covers the half-interval method for solving non-linear equations, including its convergence.

  • Newton's Method
    SO-4

    This topic explains Newton's method for solving non-linear equations, including its convergence and application to calculating multiple roots.

  • Secant Method
    SO-5

    This topic covers the secant method for solving non-linear equations, including its convergence.

  • Fixed Point Iteration
    SO-6

    This topic explains the fixed point iteration method for solving non-linear equations, including its convergence.

  • Horner's Method
    SO-7

    This topic covers Horner's method for solving non-linear equations.

  • Solving System of Ordinary Differential Equations
    SO-8

    Methods for solving systems of ODEs, including numerical and analytical approaches.

  • Solution of Higher Order Equations
    SO-9

    Methods for solving higher order ODEs, including reduction of order and numerical methods.

  • Boundary Value Problems
    SO-10

    Introduction to boundary value problems, including their definition and importance in ODEs.

  • Shooting Method
    SO-11

    Numerical method for solving boundary value problems, including its algorithm and applications.

  • Software Prototyping
    SO-12

    A software development approach that involves creating a working model of a software product. Understanding the principles and benefits of software prototyping.

Key Topics

  • Introduction to Risk Management
    RI-1

    Overview of risk management in software project management, importance and objectives.

  • Nature of Risk
    RI-2

    Understanding the nature of risk, types of risks, and risk characteristics.

  • Risk Identification
    RI-3

    Techniques and methods for identifying risks in software projects.

  • Risk Analysis
    RI-4

    Qualitative and quantitative risk analysis, risk assessment, and prioritization.

  • Evaluating Risk Impact on Schedule using Z-values
    RI-5

    Using Z-values to evaluate the impact of risks on project schedules.

  • Framework for Dealing with Risk
    RI-6

    Establishing a structured approach to risk management. This involves defining roles, responsibilities, and procedures for managing risks.

  • Evaluating Risks to the Schedule
    RI-7

    Assessing the impact of risks on the project schedule. This involves identifying potential delays and determining their impact on the project timeline.

Key Topics

  • Software Project Management
    SO-01

    Overview of software project management, including activities and best practices to ensure successful project delivery.

  • Project Planning
    SO-02

    Detailed planning of software projects, including software pricing, plan-driven development, project scheduling, estimation techniques, and COCOMO cost modeling.

  • Risk Management
    SO-03

    Identifying, assessing, and mitigating risks in software projects to minimize potential threats and ensure successful project delivery.

  • People Management
    SO-04

    Effective management of project team members, including communication, collaboration, and conflict resolution.

  • Reporting and Proposal Writing
    SO-05

    Creating effective reports and proposals to stakeholders, including project status updates, progress reports, and bid proposals.

  • Introduction to Quality Management
    SO-06

    Fundamentals of quality management in software development, including quality assurance, quality control, and quality metrics.

Key Topics

  • Errors in Numerical Calculations
    SO-1

    This topic covers the sources of errors in numerical calculations, propagation of errors, and a review of Taylor's Theorem.

  • Trial and Error Method
    SO-2

    This topic explains the trial and error method for solving non-linear equations, including its convergence.

  • Half-Interval Method
    SO-3

    This topic covers the half-interval method for solving non-linear equations, including its convergence.

  • Newton's Method
    SO-4

    This topic explains Newton's method for solving non-linear equations, including its convergence and application to calculating multiple roots.

  • Secant Method
    SO-5

    This topic covers the secant method for solving non-linear equations, including its convergence.

  • Fixed Point Iteration
    SO-6

    This topic explains the fixed point iteration method for solving non-linear equations, including its convergence.

  • Horner's Method
    SO-7

    This topic covers Horner's method for solving non-linear equations.

  • Solving System of Ordinary Differential Equations
    SO-8

    Methods for solving systems of ODEs, including numerical and analytical approaches.