Learning Objectives
10 objectives- Understand the software development life cycle and common methodologies used in the industry.
- Compare and contrast various programming languages and their applications.
- Apply fundamental algorithms and data structures in software problem-solving.
- Utilize version control systems effectively for collaborative development.
- Demonstrate knowledge of software testing principles and best practices.
- Explain core concepts of object-oriented programming and apply them.
- Develop basic dynamic web applications using web technologies.
- Understand database fundamentals and perform basic SQL queries.
- Identify and use essential software development tools to enhance productivity.
- Adopt best practices in software development for quality and collaboration.
Content Outline
PreviewUnit 906: Foundations of Software Development
1. Introduction to Software Development
1.1 Overview of Software Development
- Definition and scope
- Importance in modern technology
1.2 Software Development Life Cycle (SDLC)
- Phases: Requirements, Design, Implementation, Testing, Deployment, Maintenance
- Iterative and incremental development
1.3 Common Methodologies
- Waterfall
- Agile (Scrum, Kanban)
- DevOps principles
1.4 Role of Software Developers
- Responsibilities and skills
- Collaboration in teams
2. Programming Languages
2.1 Introduction to Programming Languages
- Purpose and evolution
2.2 Popular Programming Languages
- Python, Java, C++, JavaScript, Ruby
2.3 Syntax and Features Comparison
- Static vs dynamic typing
- Compiled vs interpreted languages
2.4 Applications and Use Cases
- Web development, system programming, data science, mobile apps
3. Algorithms and Data Structures
3.1 Importance in Software Development
3.2 Common Algorithms
- Sorting: Bubble sort, Quick sort, Merge sort
- Searching: Linear search, Binary search
3.3 Data Structures
- Arrays, Linked Lists, Stacks, Queues
- Trees, Graphs, Hash Tables
3.4 Implementation and Efficiency
- Time and space complexity basics (Big O notation)
4. Version Control Systems
4.1 Introduction to Version Control
- Purpose and benefits
4.2 Git Fundamentals
- Repository, commits, branches, merges
4.3 Collaborative Development
- Pull requests, code reviews, conflict resolution
4.4 Using Git Tools
- GitHub, GitLab, Bitbucket overview
5. Software Testing
5.1 Principles of Software Testing
- Importance and goals
5.2 Types of Testing
- Unit testing, Integration testing, System testing, Acceptance testing
5.3 Testing Tools
- JUnit, Selenium, pytest
5.4 Best Practices
- Test-driven development (TDD)
- Automated testing and continuous integration
6. Object-Oriented Programming (OOP)
6.1 Core Concepts
- Classes and Objects
- Encapsulation
- Inheritance
- Polymorphism
6.2 Applying OOP
- Designing classes
- Code reuse and modularity
6.3 OOP in Popular Languages
- Java, Python, C++ examples
7. Web Development Basics
7.1 Client-side vs Server-side Scripting
7.2 Web Technologies
- HTML: Structure of web pages
- CSS: Styling web pages
- JavaScript: Interactivity and DOM manipulation
7.3 Creating Dynamic Web Applications
- Introduction to AJAX
- Basics of front-end frameworks (overview)
8. Introduction to Databases
8.1 Role of Databases in Software
8.2 Relational Database Concepts
- Tables, rows, columns
- Primary keys, foreign keys
8.3 SQL Fundamentals
- SELECT, INSERT, UPDATE, DELETE
- Simple query writing
8.4 Database Management Systems
- MySQL, SQLite overview
9. Software Development Tools
9.1 Integrated Development Environments (IDEs)
- Features and examples (Visual Studio Code, Eclipse)
9.2 Code Editors
- Lightweight editors vs full IDEs
9.3 Debugging Tools
- Breakpoints, stepping through code
9.4 Project Management Tools
- Issue tracking, Kanban boards (Jira, Trello)
10. Software Development Best Practices
10.1 Code Documentation
- Comments, README files, API documentation
10.2 Code Reviews
- Purpose and process
10.3 Design Patterns
- Overview of common patterns (Singleton, Observer, Factory)
10.4 Collaboration Techniques
- Communication, version control etiquette, pair programming
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