Course Title:

Software Engineering: Principles, Methods, and Practice

Course Description:

This course introduces learners to the core principles and practices of software engineering. It covers the software development lifecycle (SDLC), methodologies (Agile, Waterfall, DevOps), requirements analysis, system design, coding practices, testing, maintenance, and project management. Through lectures, case studies, and real-world projects, learners gain the knowledge and practical skills required to build scalable, maintainable, and efficient software systems.

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Course Duration:

10–16 Weeks (can be adapted for intensive bootcamps or semester-long programs)
Delivery Format: In-person / Online / Hybrid
Level: Intermediate (Recommended prerequisites: basic programming knowledge)
Target Audience:

• Computer science students

• Aspiring software engineers

• Junior developers looking to strengthen their foundation

• Professionals switching to software development roles

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Learning Outcomes:

By the end of the course, students will be able to:

• Understand and apply software development life cycle models

• Analyze user and system requirements

• Design software architectures and components

• Apply best coding practices and version control

• Conduct software testing and debugging

• Manage software projects using Agile or traditional methodologies

• Collaborate effectively in development teams

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Course Outline:

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Module 1: Introduction to Software Engineering

• What is Software Engineering?

• History and evolution

• Software vs. hardware vs. systems engineering

• Software development challenges and goals

• Ethics and professional responsibility in software development

Practical:

• Case study: Software project failure and lessons learned

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Module 2: Software Development Life Cycle (SDLC)

• SDLC phases: Requirements, design, development, testing, deployment, maintenance

• SDLC models: Waterfall, V-Model, Spiral, Incremental

• Agile and DevOps overview

Practical:

• Mapping a project to an SDLC model

• Group discussion: Waterfall vs Agile

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Module 3: Requirements Engineering

• Types of requirements: Functional vs Non-functional

• Gathering techniques: interviews, surveys, observation

• Use cases and user stories

• Writing Software Requirements Specification (SRS) documents

Practical:

• Writing user stories and use case diagrams for a sample application

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Module 4: Software Design and Architecture

• Software design principles: SOLID, DRY, YAGNI

• Architectural patterns: MVC, Layered, Microservices, Client-Server

• UML diagrams: Class, Sequence, Activity, Component

• Interface and API design basics

Practical:

• Drawing class and sequence diagrams

• Designing system architecture for a sample app

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Module 5: Programming Best Practices

• Code readability and maintainability

• Version control with Git

• Code documentation

• Refactoring and code smells

• Pair programming and code reviews

Practical:

• GitHub mini-project with pull requests and code review

• Refactoring an existing codebase

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Module 6: Software Testing and Quality Assurance

• Importance of testing in software engineering

• Types of testing: unit, integration, system, acceptance

• Test-driven development (TDD)

• Manual vs Automated testing

• Common tools: JUnit, Selenium, PyTest

Practical:

• Writing unit tests for a small program

• Automated testing with a testing framework

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Module 7: Software Maintenance and Deployment

• Types of maintenance: corrective, adaptive, perfective, preventive

• CI/CD pipelines and DevOps fundamentals

• Containerization basics (e.g., Docker)

• Deployment strategies (blue-green, rolling, canary)

• Monitoring and incident management

Practical:

• CI/CD pipeline setup using GitHub Actions

• Dockerizing a simple web app

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Module 8: Software Project Management

• Project estimation (time, cost, effort)

• Agile frameworks: Scrum, Kanban

• Sprint planning, stand-ups, retrospectives

• Project tracking tools: Jira, Trello

• Risk management

Practical:

• Running a mock sprint with planning and daily stand-ups

• Project tracking exercise using Jira or Trello

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Module 9: Software Security and Ethics

• Basic software security principles (OWASP Top 10)

• Secure coding practices

• Data privacy and compliance (GDPR, HIPAA)

• Intellectual property in software

• Ethical hacking and responsible disclosure

Practical:

• Secure coding exercise: identifying vulnerabilities in code

• Ethical decision-making case studies

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Module 10: Capstone Project

Students will apply all the principles learned throughout the course in a team-based project.

Project Tasks:

• Define scope and gather requirements

• Create design documentation (UML, architecture diagrams)

• Build the software collaboratively with Git

• Implement unit tests and CI/CD

• Deploy and present the final product

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Assessment & Certification:

• Weekly quizzes and assignments

• Mid-course design document submission

• Final project evaluation and demo

• Certificate of Completion (and optional performance badge)

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Tools & Technologies Used:

• Git and GitHub

• Jira or Trello for project management

• UML tools (Lucidchart, Draw.io)

• IDEs (VS Code, IntelliJ, PyCharm)

• Testing frameworks: JUnit, Mocha, PyTest

• CI/CD: GitHub Actions, Jenkins

• Optional: Docker, Postman, Firebase

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Resources Provided:

• Slide decks and recorded sessions

• Software Engineering glossary and cheat sheets

• Sample SRS and design documents

• GitHub repo templates for projects

• Reading materials and links to IEEE/ACM standards