This course provides a comprehensive introduction to Software Engineering, equipping learners with essential knowledge and practical skills to manage and develop high-quality software projects systematically.
Software Engineering encompasses the systematic application of engineering approaches to software development. This course covers all key aspects: from understanding requirements, designing robust architectures, coding best practices, testing strategies, maintenance processes, to modern development methodologies and real-world project execution.
Define Software Engineering and explain its importance
Differentiate between programming and Software Engineering
Understand the Software Development Life Cycle (SDLC) phases
Techniques for gathering and analyzing requirements
How to document requirements with Software Requirements Specification (SRS)
Strategies for managing changes in requirements
Core design principles: SOLID, DRY, KISS
Study common Design Patterns and their use cases
Understand Architectural Patterns for scalable design
Writing clean, readable, and maintainable code
Version control management using Git
Introduction to Continuous Integration (CI) and Build Automation
Types of testing: Unit, Integration, System Testing
Using testing tools such as JUnit and Selenium
Bug tracking and improving software quality
Types of maintenance: Corrective, Adaptive, Perfective
Using GitHub for version control and collaboration
Continuous documentation and software update management
Compare Agile, Waterfall, and DevOps methodologies
Principles of Scrum and Kanban frameworks
Applying methodologies in real-world projects
Execute a software project from initial idea to delivery
Use GitHub to manage project and team contributions
Test, deploy, and publish the project in a live environment
A thorough understanding of software engineering fundamentals and SDLC
Practical skills in requirements gathering and documentation
How to design software using principles and patterns
Clean code best practices and coding standards
Effective use of Git and GitHub for version control
Comprehensive software testing methods and tools
Maintaining and updating software post-deployment
Working with Agile, Scrum, Kanban, and DevOps methodologies
Delivering a complete software product from concept to production
Junior and mid-level software developers
Software engineers and architects
Computer science students and learners interested in software development
Technical project managers and team leads
Anyone interested in a career in professional software development
Interactive lectures and slide decks
Detailed course notes and reference PDFs
Source code samples and exercises
Access to GitHub repositories for hands-on practice
Testing frameworks and tools (JUnit, Selenium)
Supplementary reading materials
Live online lectures with Q&A
Practical coding labs and workshops
Case study discussions
Group projects and collaboration via GitHub
Regular assessments and quizzes
Total duration: 8 weeks
Weekly workload: 4 hours (lecture + practical work)
Overall course hours: 32 hours
Live virtual sessions with recordings available
Online discussion forums for peer interaction
Hands-on projects managed through GitHub
Continuous instructor support and feedback
After completing this course, learners will be able to:
Define and apply Software Engineering concepts effectively
Document and manage software requirements professionally
Design scalable and maintainable software architectures
Write clean and efficient code following industry standards
Use Git and GitHub for version control and collaboration
Conduct thorough software testing and quality assurance
Apply software maintenance best practices
Implement Agile, Scrum, and Kanban methodologies in projects
Deliver a fully functional, tested, and deployed software application