CS2.1

    Cards (44)

    • What involves designing a step-by-step procedure to solve a problem?
      Algorithms
    • What are the steps in the process of abstraction?
      1. Analyze complex system/object
      2. Identify most important features
      3. Create a simplified representation
      4. Hide unnecessary details
    • How does abstraction relate to the representation of objects?
      It creates simplified representations of objects
    • Why is abstraction useful?
      It simplifies things by reducing complexity
    • What does abstraction focus on when simplifying information?
      Essential characteristics
    • What is the name of the device shown in the image?
      The Abstract-o-meter
    • What does abstraction mean?
      Hiding unnecessary details
    • What is the main purpose of abstraction?
      To simplify complex information
    • How does abstraction simplify information?
      By focusing only on essential characteristics
    • What symbol is used to represent the "just right" level of abstraction on the Abstract-o-meter?
      A heart with an arrow
    • What process involves identifying similarities or trends within data?
      Pattern recognition
    • What does the Abstract-o-meter measure according to the image?
      The level of abstraction
    • In what scenario would you use abstraction?
      When needing to simplify complex data
    • Why is it important to hide unnecessary details in abstraction?
      To enhance clarity and understanding
    • What are the three main points on the Abstract-o-meter scale?
      • Too realistic
      • Just right
      • Too abstract
    • What does the term "abstraction levels" refer to in computer science?
      Different degrees of simplification in representation
    • What is the computational thinking element that involves identifying similarities among problems?
      Pattern recognition
    • How can you apply the principles of Computational Thinking to solve complex problems?
      • Decomposition: Break down the problem into smaller parts.
      • Abstraction: Focus on the essential details, ignoring irrelevant ones.
      • Pattern Recognition: Identify similarities and trends.
      • Algorithms: Design a step-by-step solution.
    • Which aspect of computational thinking involves breaking down a complex problem?
      Decomposition
    • If an object is placed at the "too abstract" end of the Abstract-o-meter, what does that indicate about the object?
      The object is highly abstract
    • In computational thinking, what does abstraction entail?
      Simplifying complex information
    • What are the key aspects of abstraction in software?
      • Hides unnecessary details
      • Focuses on essential information
      • Provides user-friendly interfaces
    • What are the key skills of computational thinking enhanced by abstraction?
      • Decomposition
      • Pattern recognition
      • Algorithms
    • What overarching concept do Decomposition, Abstraction, Pattern recognition, and Algorithms fall under?
      Computational thinking
    • In software, what do users typically see instead of all the code?
      A user-friendly interface
    • What is the term for a step-by-step procedure for solving a problem?
      Algorithms
    • How does abstraction relate to driving a car?
      You drive without knowing engine details
    • What does abstraction do to unnecessary details in problem-solving?
      It hides them to focus on key elements
    • What is the purpose of using abstraction in computer science?
      To represent complex systems through simplified models
    • How does abstraction make complex systems easier to manage?
      By focusing on essential information only
    • How does abstraction help in computational thinking?
      It simplifies complex problems into manageable models
    • How can abstraction be used to create manageable steps in problem-solving?
      By simplifying complex problems into smaller parts
    • What does the image in the study material illustrate about abstraction?
      Converts a cube (3D) to a square (2D)
    • What are the four key elements of computational thinking?
      • Decomposition: Breaking down complex problems
      • Abstraction: Simplifying complex information
      • Pattern recognition: Finding similarities
      • Algorithms: Step-by-step problem solving
    • What are the key aspects of abstraction?
      • Hiding unnecessary details
      • Focusing on essential information
      • Simplifying complex systems
      • Providing a simple overview
    • What process involves breaking down a complex problem into smaller, more manageable parts?
      Decomposition
    • What is the relationship between abstraction and computational thinking skills?
      Abstraction facilitates the application of computational thinking skills
    • How does abstraction apply to computer science?
      It simplifies complex systems to focus on essentials
    • What is the purpose of abstraction?
      To hide unnecessary details from users
    • What is the purpose of using abstraction in computational thinking?
      To create simpler models for complex problems
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