iGCSE Computer Science: Problem Solving

iGCSE Computer Science: Problem Solving

9th - 12th Grade

20 Qs

quiz-placeholder

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iGCSE Computer Science: Problem Solving

iGCSE Computer Science: Problem Solving

Assessment

Quiz

Computers

9th - 12th Grade

Hard

Created by

Calum Gordon

Used 890+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Media Image

Which of these activities are examples of following an algorithm?

Playing a game of chess

Baking a cake

Playing a piece of sheet music on the piano

Following directions from Google Maps

2.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Media Image

Which of these are fundamental control structures in any computer program?

branching

sequence

selection

repetition

iteration

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image

A structured approach to programming which involves breaking a large program down into a number of smaller sub-programs is called ...

object orientation

algorithm

decomposition

abstraction

4.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Media Image

Which of these are valid methods of representing the steps of an algorithm? (select all that apply)

Flowchart

Pseudocode

Program code

English

5.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Media Image

Which of these are valid reasons for using subprograms to structure a program? (select all that apply)

Fewer lines of code

Can test subprograms independently

Avoids repetition of code

Different programmers can work on different parts of the program

Avoids need to use local variables

6.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Media Image

Which of these are recognised techniques of Computational Thinking? (select all that apply)

Debugging

Decomposition

Abstraction

Pattern recognition

Brute-force search

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image

Abstraction is a recognised technique of Computational Thinking. Which of these is the best definition of abstraction?

Creating a set of logical steps that when followed achieve a particular task

Breaking a problem down into several layers of smaller and simpler subproblems

The process of removing or hiding unnecessary detail from a problem

Exploiting the recurrence of patterns in data to make processing more efficient

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