Unit 845: Fundamentals of Programming Using a High-Level Language

1. Introduction to Programming Concepts

1.1 Variables and Data Types

• Definition and role of variables
• Common data types: integers, floats, strings, booleans
• Variable declaration and initialization

1.2 Operators

• Arithmetic, relational, logical, and assignment operators
• Operator precedence and associativity

1.3 Control Structures

• Conditional statements: if, else if, else, switch
• Loops: for, while, do-while

1.4 Functions

• Function definition and invocation
• Parameters and return values
• Scope and lifetime of variables

1.5 Algorithms

• Definition and importance
• Basic algorithm structures: sequence, selection, iteration

2. Overview of Programming Languages

2.1 High-Level Languages

• Characteristics and advantages

2.2 Popular Languages

• Python: syntax, use cases, beginner-friendly
• Java: syntax, platform independence, enterprise use
• C++: syntax, system programming, performance
• JavaScript: syntax, web development, event-driven programming

2.3 Comparing Languages

• Strengths, weaknesses, and typical application areas

3. Integrated Development Environments (IDEs)

3.1 Role of IDEs in Programming

• Code editing, debugging, compiling, and testing

3.2 Popular IDEs

• Visual Studio Code: features, extensions, customization
• IntelliJ IDEA: Java support, refactoring tools
• Eclipse: open-source, plugin ecosystem

3.3 Using an IDE

• Creating projects, writing and running code
• Debugging and error handling

4. Problem-Solving Techniques

4.1 Understanding the Problem

• Problem analysis and requirements gathering

4.2 Decomposition

• Breaking down complex problems into smaller tasks

4.3 Algorithm Design

• Stepwise refinement
• Pseudocode and flowcharts

4.4 Testing and Debugging

• Identifying and fixing errors

5. Introduction to Algorithms

5.1 Algorithm Concepts

• Definition, input, output

5.2 Algorithm Design Principles

• Correctness, efficiency, clarity

5.3 Algorithm Analysis

• Time and space complexity basics

5.4 Common Algorithms

• Searching (linear, binary)
• Sorting (bubble, selection, insertion)

6. Data Structures

6.1 Arrays

• Definition, indexing, usage

6.2 Linked Lists

• Structure, types (singly, doubly), advantages

6.3 Stacks and Queues

• LIFO and FIFO principles
• Applications and operations

6.4 Trees

• Basic concepts, binary trees

7. Object-Oriented Programming (OOP)

7.1 Principles of OOP

• Classes and objects
• Encapsulation
• Inheritance
• Polymorphism

7.2 Designing Classes

• Attributes and methods

7.3 OOP in Practice

• Examples in popular languages

8. Introduction to Web Development

8.1 Overview of Web Technologies

8.2 HTML

• Structure of web pages

8.3 CSS

• Styling and layout

8.4 JavaScript

• Adding interactivity

8.5 Creating Dynamic Web Applications

• Client-side vs server-side basics

9. Version Control with Git

9.1 Basics of Version Control

• Purpose and benefits

9.2 Git Fundamentals

• Repositories, commits, branches

9.3 Collaboration

• Merging, resolving conflicts
• Using GitHub for remote repositories

10. Software Development Life Cycle (SDLC)

10.1 Phases of SDLC

• Planning
• Analysis
• Design
• Implementation
• Testing
• Maintenance

10.2 Role of Programming in SDLC

• Coding standards
• Documentation
• Testing and debugging