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IGCSE Computer Science Paper 1 · Modules 43–58

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A free printable IGCSE Computer Science Paper 1 definitions worksheet with 10 key terms, built from the key terms of 1.2 Text, Sound and Images and 1.3 Data Storage and Compression (Modules 43–58) — Comparing ASCII and Unicode, Analogue sound waves and digital sound, Sample resolution, Effect of sample rate and resolution on accuracy and file size, Colour depth, Number of colours from the colour depth and more. Print it or save it as a PDF — the answer key starts on its own page. No login needed.

IGCSE Computer Science Paper 1 Definitions Worksheet: 1.2 Text, Sound and Images and 1.3 Data Storage and Compression (Modules 43–58)

Name:
Date:
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Key terms

Write what each term means, in your own words.

1
Unicode vs ASCII
2
analogue to digital
3
sample resolution
4
higher sample rate or resolution
5
colour depth
6
colours = 2^n
7
colour code table
8
higher resolution and colour depth
9
trade-off
10
nibble

Answer Key

IGCSE Computer Science Paper 1 · Modules 43–58 · Student wording will vary for definitions
1Unicode vs ASCII — Unicode supports far more characters than 8-bit ASCII but uses 16 or 32 bits per character, so the same text takes up more storage space.
2analogue to digital — A sound wave is analogue: its amplitude changes smoothly. A computer stores only separate binary numbers, so the wave a microphone captures must be converted into discrete digital values.
3sample resolution — The number of bits used to store each sample of a sound. More bits give more possible volume levels and a more accurate recording. 16 bits per sample is common.
4higher sample rate or resolution — Raising the sample rate or sample resolution records the sound more accurately, but it also makes the audio file bigger. Lowering either does the opposite: less accurate, smaller file.
5colour depth — The number of bits used to store the colour of each pixel. More bits per pixel means more possible colours, such as 1 bit for 2 colours or 24 bits for true colour.
6colours = 2^n — A colour depth of n bits gives 2^n different colours, so each extra bit doubles the number. For example, 2 bits give 4 colours and 8 bits give 256 colours.
7colour code table — A table giving each colour a binary code. Write each pixel's code row by row to encode an image; read the codes back to redraw it. 4 colours need 2 bits.
8higher resolution and colour depth — Raising either one improves image quality (sharper detail, smoother colours) but stores more bits, so the file size gets larger.
9trade-off — Balancing quality against file size: pick the lowest sample rate, resolution or colour depth that still looks or sounds good enough, so the file stays small enough to store or send.
10nibble — A nibble is a group of 4 bits, so half a byte. Two nibbles make 1 byte. One hexadecimal digit fits exactly in one nibble.

Modules this definitions worksheet covers

Every module has its own free printable worksheet with an answer key, and students can practise the same terms interactively on Cloodit.

Part of: IGCSE Computer Science 0478 — 1.2 Text, Sound and Images, IGCSE Computer Science 0478 — 1.3 Data Storage and Compression, ACARA Digital Technologies Years 7–8 — Representing Text, Images and Sound, ACARA Digital Technologies Years 7–8 — Binary Number Representation, ACARA Digital Technologies Years 9–10 — Data Compression

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