CS Edexcel 1.1 Computational Thinking

Computational thinking is an approach to what?

• Problem solving

• Creating algorithms

• Identifying the techniques needed

• Understanding the complexity of a problem

Why is algorithmic thinking important in problem-solving?

• It makes problem-solving more confusing

• It helps develop creative solutions

• It provides a systematic approach

• It slows down problem-solving

Can all problems be solved computationally?

• True

• False

Which technique in computational thinking involves detailed, step-by-step procedures?

• Decomposition

• Algorithms

• Abstraction

• Pattern Recognition

What is the purpose of using top-down diagrams in decomposition?

• To merge multiple problems into one

• To breakdown problems into smaller components

• To avoid addressing subproblems individually

• To make problems more complicated

Which computational thinking technique focuses on simplifying complex problems?

• Pattern recognition

• Decomposition

• Abstraction

• Algorithms

What is the crucial element of algorithmic thinking?

• Creative thinking

• Chaotic thinking

• Illogical thinking

• Logical thinking

What role does abstraction play in computational thinking?

• To complicate problems

• To focus on irrelevant details

• To simplify complex problems

• To ignore important elements

What does decomposition achieve in the process of problem-solving?

• It makes problems more complex

• It avoids addressing subproblems individually

• It combines subproblems into a larger problem

• It breaks down large problems into manageable ones

What is the primary purpose of subprograms in programming?

• To make debugging more challenging

• To create more complex code

• To slow down the programme execution

• To enhance code organisation and reusability