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Flashcards in this deck (23)

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  • What is the English title of Chapter 1?

    Introduction to Computers

    Understanding Computing Basics

    Basics of Computer Programming

    Fundamentals of Computer Science

    computer_science chapter_1
  • What is 'Pemikiran Komputasional' translated to in English?

    Computer Thinking

    Analytical Thinking

    Programming Logic

    Computational Thinking

    definitions computer_science
  • Which of the following is NOT a technique in Computational Thinking?

    Identifying Similarities in Problems

    Decomposing Problems

    Pattern Recognition

    Making Decisions Based on Key Aspects

    techniques problem_solving
  • How is Computational Thinking commonly used?

    To program like a computer

    As a way to solve problems

    To think like a computer

    As a method for writing code

    problem_solving definitions
  • What is the first concept introduced in Chapter 1?

    Decision Making in Computational Thinking

    Basic Computational Thinking

    Process of Computational Thinking

    Techniques in Computational Thinking

    chapter_1 concepts
  • What is computational thinking?

    Only for computers

    Just logical thinking

    A type of programming

    A problem-solving process using computer science concepts

    computational_thinking problem_solving
  • Which skills are required for computational thinking?

    Public speaking

    Logical thinking and building algorithms

    Artistic skills

    Creative writing

    skills logic
  • What does building an algorithm involve?

    Writing essays

    Drawing diagrams

    Creating a step-by-step solution

    Designing software

    algorithm problem_solving
  • What are the basic concepts of computer science used in computational thinking?

    Processes and algorithms

    Networking

    Data entry

    Graphic design

    computer_science concepts
  • In which context is computational thinking applicable?

    Only in programming

    Only in educational settings

    Exclusive to mathematics

    By humans and machines together

    application collaboration
  • What is the first step in the computational thinking process?

    Leaving out unimportant pieces

    Breaking down the problem

    Finding patterns

    Creating a problem-solving model

    computational_thinking problem-solving
  • What is the second step in the computational thinking process?

    Leaving out unimportant pieces

    Breaking down the problem

    Identifying similar patterns

    Preparing a problem-solving model

    computational_thinking patterns
  • What is the third step in the computational thinking process?

    Preparing a problem-solving model

    Breaking down the problem

    Leaving out unimportant pieces

    Finding patterns

    computational_thinking focus
  • What is the final step in the computational thinking process?

    Preparing a problem-solving model

    Leaving out unimportant pieces

    Breaking down the problem

    Identifying similar patterns

    computational_thinking solution
  • What is Teknik Leraian in Pemikiran Komputasional?

    Scaling technique

    Pattern recognition method

    Decomposition technique for complex problems

    Generalization approach

    computational techniques
  • How many techniques are there in Pemikiran Komputasional?

    2

    3

    4

    5

    computational techniques
  • What does Teknik Pengecaman Corak refer to?

    Scaling down models

    Generalization of data

    Pattern recognition

    Breaking down complex problems

    computational pattern_recognition
  • What is the difference between Proses and Teknik in Pemikiran Komputasional?

    Proses is the method, Teknik is the flow.

    Proses refers to analysis, Teknik refers to execution.

    They are the same.

    Proses is the flow of solving problems, while Teknik is the method used.

    computational concepts
  • What is the purpose of Teknik Leraian?

    To break down complex problems into manageable parts

    To scale models for analysis

    To identify patterns in data

    To find general rules

    computational decomposition
  • What is the main goal of Pattern Recognition?

    To analyze small parts to identify similarities

    To create new models

    To increase complexity

    To solve problems directly

    techniques pattern_recognition
  • What does the Abstraction technique focus on?

    Important aspects that aid in problem solving

    Identifying patterns

    Analyzing every detail

    Creating complex models

    techniques abstraction
  • What is the purpose of Generalisation in problem solving?

    To focus on unique solutions

    To analyze past problems

    To simplify problems

    To create models for solving similar problems

    techniques generalisation
  • How does Generalisation aid in solving problems?

    By ignoring previous models

    By focusing on specific details

    By providing rules and steps in model form

    By complicating solutions

    techniques generalisation