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Computational thinking (a) Programmers use trace tables with algorithms - Edexcel - GCSE Computer Science - Question 4 - 2023 - Paper 1

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Computational thinking (a) Programmers use trace tables with algorithms. Explain the purpose of a trace table. (b) Algorithms use arrays and records to hold data. ... show full transcript

Worked Solution & Example Answer:Computational thinking (a) Programmers use trace tables with algorithms - Edexcel - GCSE Computer Science - Question 4 - 2023 - Paper 1

Step 1

Explain the purpose of a trace table.

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Answer

A trace table is used by programmers to track the values of variables at each step of an algorithm during its execution. This helps in understanding the flow of control and in debugging by allowing programmers to ensure that their code behaves as expected.

Step 2

Describe a record.

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Answer

A record is a data structure that can hold multiple related fields or values, where each field can have a different data type. It is typically used to represent a complex data entity, such as a customer or an order, grouping different attributes together, enabling easier data management and access.

Step 3

Complete the flowchart to show the algorithm.

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Answer

  1. Start
  2. Input the number
  3. Decision: Is the number < 0?
    • If Yes: Output 'Negative'
    • If No: Decision: Is the number % 2 = 0?
      • If Yes: Output 'Even'
      • If No: Output 'Odd'
  4. Stop

Step 4

Describe how a linear search algorithm operates on an unsorted array.

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Answer

A linear search algorithm iteratively checks each element of the unsorted array against the target value. If a match is found, the index of that element is returned. If the end of the array is reached with no match found, a signal indicating that the item is not present is returned.

Step 5

Complete the truth table.

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Answer

Given the conditions:

SMS AND M
000
010
100
111

Step 6

Discuss the use of decomposition and abstraction in developing this game.

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Answer

Decomposition refers to breaking down the game into smaller, manageable parts, such as separating the logic for movement, scoring, and collision detection. Abstraction is simplifying the complex reality of game interactions, focusing on essential features while hiding unnecessary details.

The benefits include improved teamwork as each student can focus on specific parts, and a clearer understanding of the game structure. For example, in the implementation of scoring, abstraction can hide complex calculations behind a function, making it easier for developers to manage.

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