2.1.2 Thinking abstractly

• What is the core principle of computational thinking described in this study material?

  Abstraction
• Match the computational thinking principle with its definition:

  Abstraction ↔️ Simplifying complex problems by focusing on essential features

  Decomposition ↔️ Breaking down a problem into smaller parts

  Pattern Recognition ↔️ Identifying common solutions to similar problems

  Algorithm Design ↔️ Creating a step-by-step procedure to solve a problem
• What are the core concepts of computational thinking?

  Abstraction, Decomposition, Pattern Recognition, Algorithm Design
• Logical components are software elements that control how physical components function.


  True
• What does abstraction allow programmers to focus on in a problem?

  Essential features
• Abstraction simplifies complex problems by focusing on essential features and ignoring irrelevant details
• What is the purpose of Algorithm Design in computational thinking?


  To create a step-by-step procedure
• What is an example of a Physical Component of a computer system?


  CPU
• Decomposition is the process of breaking down a problem into smaller, more manageable parts
• Procedural abstraction reduces code duplication by combining separate functions into one generalized function.

  True
• Abstraction enables code reuse by creating general-purpose modules or functions.


  True
• Abstraction helps develop scalable, maintainable, and efficient software solutions.

  True
• Decomposition involves breaking down a problem into smaller, more manageable parts
• Physical components of a computer system include the CPU, RAM, and peripherals
• Match the feature with the correct type of computer component:

  Nature of Physical Components ↔️ Tangible hardware

  Nature of Logical Components ↔️ Intangible software

  Function of Physical Components ↔️ Executes instructions and stores data

  Function of Logical Components ↔️ Controls operation and interaction
• What is the primary goal of abstraction in computational thinking?

  Simplifying complex systems
• Applying abstraction can lead to more scalable, maintainable, and efficient software solutions.


  True
• What does data abstraction hide in algorithm design?

  Underlying data structure
• Procedural abstraction focuses on what a process does rather than its specific steps
• What is the primary role of data structures in supporting abstraction?

  Hiding complex details
• Abstraction helps manage complexity by breaking down large problems into smaller parts.


  True
• Abstraction contrasts with decomposition, which focuses on dividing a problem into smaller sub-problems.


  True
• Abstraction helps programmers manage complexity by breaking down problems into manageable parts.

  True
• Abstraction involves ignoring irrelevant details to focus on essential features.


  True
• What are physical components in a computer system?

  Tangible hardware parts
• Abstraction simplifies complex problems by focusing on essential features
• What are the four core concepts of computational thinking?

  Abstraction, Decomposition, Pattern Recognition, Algorithm Design
• Match the computational thinking principle with its definition:

  Abstraction ↔️ Simplifying complex problems

  Decomposition ↔️ Breaking down into smaller parts

  Pattern Recognition ↔️ Applying common solutions

  Algorithm Design ↔️ Creating a step-by-step procedure
• Logical Components are intangible software elements that manage how physical components function
• What is the primary goal of Abstraction in computational thinking?


  To simplify complex systems
• Match the type of abstraction with its definition and example:

  Procedural Abstraction ↔️ Hides specific steps, focuses on what it does, e.g., calculateArea function

  Data Abstraction ↔️ Hides underlying structure, allows usage without internal details, e.g., shape data structure
• What does abstraction allow programmers to do in computer science?

  Manage complexity
• Match the computational thinking principle with its definition:

  Abstraction ↔️ Simplifying complex problems by focusing on essential features

  Decomposition ↔️ Breaking down a problem into smaller parts

  Pattern Recognition ↔️ Identifying common solutions to similar problems

  Algorithm Design ↔️ Creating step-by-step procedures
• What is the definition of abstraction in computational thinking?

  Simplifying complex problems
• Algorithm design involves creating step-by-step procedures to solve problems.


  True
• Physical components are tangible hardware, while logical components are intangible software.


  True
• Physical components are hardware, while logical components are software
• Order the steps of applying abstraction in problem-solving:

  1️⃣ Identify essential features

  2️⃣ Ignore irrelevant details

  3️⃣ Simplify the problem

  4️⃣ Generalize the solution
• Procedural abstraction focuses on what a process does
• Applying abstraction reduces code duplication and makes it more maintainable and readable.


  True