1.1 Computational Thinking

What does 'abstraction' mean in computational thinking?

• Removing unnecessary details to focus on what's important

• Breaking a problem into smaller parts

• Writing code in a specific programming language

• Solving a problem by trial and error

Which of the following is an example of decomposition?

• Calculating a total

• Splitting a complex problem into smaller, manageable tasks

• Hiding unnecessary data

• Sorting a list alphabetically

Pattern recognition is useful in computing because:

• It allows us to ignore irrelevant data

• It helps find repeated problems to simplify solutions

• It speeds up computer processing

• It avoids the need for testing

Which of the following is an example of abstraction?

• A map showing only major roads

• Listing all items in a database

• Viewing full HTML code of a webpage

• Solving a maths equation step-by-step

What is decomposition most similar to?

• Deleting unwanted data

• Solving a puzzle backwards

• Breaking a large task into smaller steps

• Encrypting a message

Which is the correct order of applying computational thinking techniques?

• Programming → Debugging → Testing

• Planning → Testing → Evaluation

• Decomposition → Pattern Recognition → Abstraction → Algorithm Design

• Problem → Code → Solve

Why is pattern recognition important?

• It increases internet speed

• It helps us make assumptions based on past problems

• It reduces the need for computers

• It improves memory storage

What is the purpose of designing an algorithm?

• To find errors in software

• To store data efficiently

• To give step-by-step instructions for solving a problem

• To search for viruses in code

Which of these best describes an algorithm?

• A software update

• A programming language

• A sequence of instructions to complete a task

• A web application

Which is an example of an algorithm?

• The structure of a database

• A flowchart showing how to make a cup of tea

• A folder containing files

• A photo editing tool