2.1.1 Computational Thinking

• What are the three key components of computational thinking?

  Abstraction, Decomposition, and Algorithmic thinking
• What does abstraction involve in computational thinking?

  Ignoring unnecessary information and focusing on important facts
• Why is abstraction important in problem-solving?

  It simplifies a problem to make it less complex
• What is decomposition in computational thinking?

  Breaking a problem down into smaller tasks
• Why is decomposition important?

  It allows individual problems to be tested and solved separately
• How does decomposition facilitate teamwork?

  It enables different people to work on different parts of a larger problem
• What is algorithmic thinking?

  Following logical steps to solve a problem
• What does algorithmic thinking involve?

  Breaking down the problem using decomposition and considering required data
• What are the steps involved in computational thinking?

  • Abstraction: Focus on important facts
  • Decomposition: Break down problems into smaller tasks
  • Algorithmic thinking: Follow logical steps to solve problems
• What are the benefits of using computational thinking in problem-solving?

  • Simplifies complex problems
  • Enables teamwork and collaboration
  • Facilitates systematic problem-solving