1.1 Decomposition and Abstraction

• Decomposition simplifies complex tasks in problem-solving.

  True
• How does decomposition enhance collaboration in problem-solving?

  By dividing tasks
• Match the aspect with its description:

  Purpose of decomposition ↔️ Breaks down complex problems

  Emphasis of abstraction ↔️ Simplifying the task

  Approach of abstraction ↔️ Selecting what to include

  Result of decomposition ↔️ Subtasks or subproblems
• Abstraction involves focusing on relevant details while hiding unnecessary complexity
• Match the aspect with its description:

  Purpose of abstraction ↔️ Hides unnecessary complexity

  Emphasis of decomposition ↔️ Dividing the task

  Approach of decomposition ↔️ Top-down or bottom-up

  Result of abstraction ↔️ Simplified view of the system
• Decomposition makes complex problems easier to understand.


  True
• What are the key benefits of decomposition?

  Simplifies tasks, enhances collaboration, improves reusability
• Abstraction simplifies a system by focusing on its essential elements
• Match the concept with its purpose:

  Abstraction ↔️ Highlights essential details

  Decomposition ↔️ Breaks down complex problems
• Abstraction is essential for managing complexity and improving efficiency
• How does abstraction support code reusability?

  By creating reusable modules
• Abstraction simplifies complex systems by focusing on essential functions and properties while hiding intricate details
• What is the primary goal of decomposition in problem-solving?

  Breaks down complex tasks
• Match the concept with its emphasis:

  Decomposition ↔️ Dividing the task

  Abstraction ↔️ Simplifying the task
• What is the main benefit of decomposition in managing complex problems?

  Simplifies complex tasks
• Decomposition enhances collaboration by allowing team members to work on different parts concurrently.


  True
• Abstraction simplifies a system by highlighting essential details
• How does decomposition simplify complex tasks?

  Reduces into solvable subtasks
• Decomposition reduces large problems into manageable subtasks.


  True
• Abstraction simplifies complex systems by focusing on essential functions and properties while hiding intricate details
• Abstraction simplifies complex systems by focusing on essential details
• Abstraction reduces complexity by hiding intricate details.


  True
• What is the primary purpose of decomposition in problem-solving?

  Breaks down complex problems
• When planning a birthday party, decomposition involves organizing invitations, catering, decoration, and entertainment
• Decomposition improves collaboration and reusability in complex tasks.

  True
• How does a GUI use abstraction to simplify user interaction?

  Hides complex rendering processes
• Abstraction focuses on essential details while hiding implementation specifics
• Abstraction facilitates clarity by simplifying system functionalities.


  True
• What is decomposition in computational thinking?

  Breaking down complex tasks
• Decomposition involves breaking down a complex problem into more manageable parts
• Reusability is a key benefit of decomposition.

  True
• What is an example of decomposition in real-world planning?

  Planning a birthday party
• Abstraction creates a simplified view of a system.

  True
• What is the relationship between decomposition and abstraction?

  Decomposition simplifies tasks, abstraction hides complexity
• Order the benefits of decomposition:

  1️⃣ Simplifies complex tasks

  2️⃣ Enhances collaboration

  3️⃣ Improves reusability
• Abstraction is used to divide tasks into subproblems.

  False
• How does abstraction simplify problem-solving?

  By hiding unnecessary complexity
• Why is decomposition crucial in problem-solving?

  Breaks down complex tasks
• Abstraction simplifies complex systems by hiding intricate details.

  True
• What is the purpose of abstraction in computer science?

  Simplifies complex systems