OCR A Level Computer Science (H446)

2.1 Elements of Computational Thinking: revision quiz and key terms

Free practice for 2.1 Elements of Computational Thinking in OCR A Level Computer Science (H446). It has 4 parts: 2.1.1 Thinking Abstractly and Procedurally, 2.1.2 Thinking Ahead, 2.1.4 Thinking Logically and 2.1.5 Thinking Concurrently. Try the questions, then check the key terms.

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Question 1 · Multiple choice

Which is a precondition of a binary search?

Question 2 · True or false?

Decomposition breaks a problem into smaller sub-problems.

Question 3 · Multiple choice

Why should a subroutine's preconditions be documented?

Question 4 · True or false?

Thinking procedurally means deciding which tasks can run at the same time.

Question 5 · Multiple choice

A loop is written WHILE x < 10, but x is never changed inside it. What happens if x starts at 0?

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Key terms for 2.1 Elements of Computational Thinking

Abstract model: A simplified representation of a real-world situation that keeps only the details that matter.
Abstraction (modelling): Creating a simplified model capturing essential characteristics of a problem.
Decomposition: Breaking a problem down into smaller sub-problems that can be solved separately.
NOT: Reverses a logical value, so True becomes False.
Reusable component: A tested piece of code, such as a subroutine or class, that can be used in other programs.
Thinking ahead: Planning the inputs, outputs, preconditions and reusable parts a solution will need before writing it.
Time slicing: Giving each task a short turn on the processor in rotation, so they appear to run together.

What 2.1 Elements of Computational Thinking covers

In RADevo this topic has a full topic test and a focused quiz for each part:

2.1.1 Thinking Abstractly and Procedurally
2.1.2 Thinking Ahead: Inputs and outputs, preconditions, caching, and reusable program components.
2.1.4 Thinking Logically: Decision points, the logical conditions that affect the outcome, and how decisions affect the flow through a program.
2.1.5 Thinking Concurrently: Which parts of a problem can be tackled at the same time, and the benefits and trade-offs of concurrent processing.

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