Pseudocode:
- A high-level description of an algorithm or program logic using plain language. It outlines the steps to solve a problem without adhering to specific syntax rules of programming languages.
Problem-Solving:
- The process of identifying solutions to specific issues or challenges. In programming, it involves breaking down complex problems into manageable parts and developing logical steps to address them.
Algorithm:
- A finite set of well-defined instructions or rules designed to perform a specific task or solve a particular problem.

Early Computing (1950s-1960s): As programming languages were in their infancy, pseudocode was used by programmers to outline algorithms and program logic before coding.
Structured Programming (1970s-1980s): The adoption of structured programming principles emphasized the importance of clear algorithms and pseudocode for developing efficient and maintainable codebases.
Modern Education (1990s-Present): Pseudocode remains a fundamental tool in computer science education, helping students understand algorithmic thinking and prepare for writing actual code in various programming languages.

Universal Planning Tool:
- Pseudocode is used across different programming languages, making it a versatile tool for developers working in diverse environments.
Enhances Collaboration:
- Teams use pseudocode to communicate complex algorithms clearly, ensuring that all members have a shared understanding before implementation.
Language-Agnostic:
- Since pseudocode doesn't follow strict syntax rules, it allows developers to focus on the logic without getting distracted by language-specific details.
Algorithm Visualization:
- Pseudocode helps in visualizing the flow of an algorithm, making it easier to identify potential issues and optimize performance.
Foundation for Flowcharts:
- Pseudocode often serves as the basis for creating flowcharts, which provide a graphical representation of an algorithm's flow.

Day 1 - Introduction to Pseudocode and Problem-Solving Techniques