
Understanding Computational Thinking
Quiz
•
Information Technology (IT)
•
University
•
Practice Problem
•
Hard
I Astawa
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Apa itu pemikiran komputasional dan mengapa itu penting?
Pemikiran komputasional adalah jenis bahasa pemrograman yang digunakan dalam pengkodean.
Ini adalah metode untuk menghafal algoritma tanpa memahaminya.
Pemikiran komputasional adalah proses pemecahan masalah yang penting untuk pemecahan masalah sistematis dan pemikiran kritis di berbagai disiplin ilmu.
Pemikiran komputasional hanya relevan untuk jurusan ilmu komputer.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
List the four main components of computational thinking.
machine learning
data analysis
software development
decomposition, pattern recognition, abstraction, algorithm design
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can decomposition help in problem-solving?
Decomposition eliminates the need for any analysis or critical thinking.
Decomposition is only useful for mathematical equations and not for general problem-solving.
Decomposition simplifies complex problems into smaller, manageable parts for easier analysis and solution.
Decomposition complicates problems by adding more layers to analyze.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of pattern recognition in computational thinking.
Pattern recognition involves only visual patterns and not data analysis.
Pattern recognition is unrelated to problem-solving in computational thinking.
Pattern recognition is the process of creating random data sets.
Pattern recognition is the ability to identify and analyze patterns in data to solve problems and create algorithms.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What role does abstraction play in computational thinking?
Abstraction helps in managing complexity and improving problem-solving efficiency in computational thinking.
Abstraction is only useful in programming languages, not in computational thinking.
Abstraction eliminates the need for critical thinking in problem-solving.
Abstraction complicates problem-solving by adding unnecessary details.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Provide an example of an algorithm in everyday life.
A recipe for baking a cake.
A guide for assembling furniture.
A schedule for daily activities.
A shopping list for groceries.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can computational thinking be applied in programming?
Focusing solely on syntax without logic
Ignoring patterns and working on random solutions
Computational thinking can be applied in programming by breaking down problems, recognizing patterns, abstracting solutions, and developing algorithms.
Using only trial and error to solve problems
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