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Questions and Answers
What is one of the key characteristics of Computational Thinking?
Why is Computational Thinking considered paramount even if one does not know how to program?
In the context of Computational Thinking, what does 'Decomposition' refer to?
Why have governments started to spotlight Computational Thinking in their re-skilling roadmaps?
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Which characteristic of Computational Thinking involves looking for similarities among and within problems?
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What is the importance of Abstraction in Computational Thinking?
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What does 'Decomposition' refer to in the context of problem-solving?
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In the context of problem-solving, what is the purpose of 'Pattern Recognition'?
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What is the main objective of 'Abstraction' in the problem-solving process?
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Which activity is typically associated with an 'Algorithm' in problem-solving?
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In the given text, what does 'Pseudocode' represent in relation to algorithms?
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Why is 'Sequence' mentioned in discussions related to algorithms?
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Study Notes
Computational Thinking (CT)
- CT is a problem-solving process that includes a set of characteristics and dispositions to enhance efficiencies and innovation.
- It is a broad, structured way of looking at a problem, not limited to computer scientists.
Importance of CT
- Governments have started to spotlight CT in their re-skilling roadmaps.
- CT will be core to future job opportunities.
Key Components of CT
- Decomposition: breaking down a complex problem or system into smaller, more manageable parts.
- Pattern Recognition: looking for similarities among and within problems.
- Abstraction: focusing on the important information only, ignoring irrelevant detail.
- Algorithms: developing a step-by-step solution to the problem, or the rules to follow to solve the problem.
Pattern Recognition
- Recognizing similarities/differences within problems to break down the problem and build a construct as a path for the solution.
- Example: Sequential Pattern Mining, e.g., identifying patterns in transaction records or patient medical records.
Abstraction
- Focusing on important information only, ignoring irrelevant detail.
- Example: Smiling detection, where a face photo is transformed into a "smiley" drawing to detect a smiling face.
Algorithms
- A set of step-by-step instructions to solve a problem or sub-problem.
- Each instruction is identified, and the order in which they should be carried out is planned.
- Can be written in Pseudocodes, Flowcharts, or compiled with control structures.
- Example: detecting a smiling face using a set of step-by-step instructions.
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Description
Test your knowledge on the problem-solving process of Computational Thinking (CT) and its importance in enhancing efficiencies and innovation. Learn about the characteristics and dispositions involved in CT, regardless of programming knowledge.
