Course: Software Engineering Tools and Methods

Course Description

This course provides students with a deep understanding of modern software engineering tools and methodologies, focusing on software development best practices, testing strategies, and architectural patterns. Students will gain hands-on experience with software version control, project management tools, and testing frameworks, ensuring they can efficiently manage software projects in real-world settings.

Software Engineering Tools and Methods

With a growing emphasis on cloud computing, microservices, and serverless architectures, this course introduces advanced software engineering principles essential for scalable and efficient application development. Students will learn to design, implement, and maintain modern software solutions, incorporating cloud-based infrastructures and automation tools that are widely used in AI-driven and high-performance computing (HPC) environments.

Course Content Overview (12 Modules)

  1. Software Engineering Tools – Introduction to project management tools and software development environments.
  2. Agile Development – Principles and tools for agile project management and iterative software development.
  3. Software Architecture and Version Control – Fundamentals of software design patterns and version control systems (e.g., Git).
  4. MVC Architecture – Understanding Model-View-Controller (MVC) and practical implementation.
  5. SOLID Principles – Writing clean, maintainable, and scalable software using industry best practices.
  6. Code Design Patterns – Common patterns used in structured and object-oriented programming.
  7. Software Testing – Unit testing, Test-Driven Development (TDD), and Behavior-Driven Development (BDD).
  8. Cloud-Based Architectures – Introduction to cloud computing, serverless technologies, and deployment strategies.
  9. Serverless Applications – Development of cloud-based applications using AWS Lambda, authentication, and database integration.
  10. Microservices Architecture – Design and implementation of microservices-based applications.
  11. Event-Driven Systems – Exploring event sourcing and asynchronous processing in modern applications.
  12. Writing Elegant Code – Best practices for clean code, refactoring, and software craftsmanship.

Learning Outcomes

Upon successful completion of this course, students will be able to:

  • Utilize modern software engineering tools for project management, version control, and collaboration.
  • Apply software architecture principles to design scalable and maintainable applications.
  • Develop and test software applications using unit tests, TDD, and BDD methodologies.
  • Implement cloud-based and serverless applications for highly scalable and efficient solutions.
  • Follow best coding practices to write structured, readable, and maintainable software.