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Last Updated Sep 26, 2025
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Computational thinking is a way of approaching a problem. It refers to looking at a problem in a logical way to try and find a solution.
There are four areas or 'pillars' of computational thinking:
Abstraction The process of simplifying something by removing unnecessary characteristics to focus on its essential characteristics
Pattern matching : identifying patterns
Decomposition : breaking a large, complex tasks into smaller, more approachable ones
Algorithms : using a step-to-step process to solve a problem
Computational thinking: looking at a problem in a logical way to try and find a solution.
Abstraction: the process of simplifying something by removing unnecessary characteristics to focus on its essential characteristics.
In computer science we generalise problems, meaning we try and hide details to capture some commonality between difference instances.
Consider three instances of vehicles - a truck, car and motorcycle. Abstraction of a vehicle involves the following :
Consider we want to write a function called startEngine() that can be used for any type of vehicle. Starting the engine involves complex operations, but by encapsulating these complexities within the startEngine() function, we can abstract the internal processes. This allows us to reuse the startEngine() since we won't have to write this function for every instance of a vehicle.
Decomposition: the process of breaking down a large task into a set of smaller tasks.
Writing a function for startEngine() can be complex, so we can use decomposition to break the task into smaller components. Starting the engine involves a series of smaller functions :
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