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Text, sound and images
Comprehend the methods and reasons behind how computers represent text, including the use of character sets like ASCII and Unicode. Notes: • Text is transformed into binary for computer processing. • Unicode supports a wider variety of characters and symbols compared to ASCII, accommodating multiple languages and emojis. • Unicode requires more bits per character than ASCII.
3
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30
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21
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90 min
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CambridgeIGCSEComputer ScienceData representation
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Text, sound and images outcomes3 objectives
- Comprehend the methods and reasons behind how computers represent text, including the use of character sets like ASCII and Unicode. Notes: • Text is transformed into binary for computer processing. • Unicode supports a wider variety of characters and symbols compared to ASCII, accommodating multiple languages and emojis. • Unicode requires more bits per character than ASCII.
- Grasp how and why computers represent sound, focusing on the impact of sample rate and sample resolution. Notes: • Sound waves are sampled to convert sound into binary for computer processing. • Sample rate refers to the number of samples taken per second. • Sample resolution indicates the number of bits per sample. • Higher sample rates and resolutions lead to better recording accuracy and larger file sizes.
- Understand how and why a computer represents images, including the influence of resolution and colour depth. Notes: • An image consists of pixels that are converted into binary for computer processing. • Resolution is defined by the number of pixels in the image. • Colour depth refers to the bits used to represent each colour. • Increasing resolution and colour depth enhances both file size and image quality.
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