Computer Science - 0478 CIE

Data Storage And Compression

Gbogbo ọrọ náà

Every photo you take, every song you stream and every video you upload is, underneath, a long string of bits that has to be measured, stored and moved around. Knowing how to work out the exact size of an image or a sound file, and how compression shrinks that file without ruining it, turns a vague sense of 'big file, slow upload' into a precise, examinable skill.

In this lesson you will measure data in bits, bytes and the binary multiples up to the tebibyte, then calculate the size of an image file and a sound file from first principles. After that you will see exactly why files need compressing and how lossy and lossless methods, including run length encoding, achieve the saving.

Ebumnobi

  1. 1 Understand how data storage is measured
  2. 2 Calculate the file size of an image file and a sound file, using information given
  3. 3 Understand the purpose of and need for data compression
  4. 4 Understand how files are compressed using lossy and lossless compression methods

Akọmọ Ojú-ẹkọ

Storage is never free and bandwidth is never unlimited. A single uncompressed photo can be several mebibytes, and a few minutes of uncompressed sound can be larger still. Email services cap attachment sizes, phones run out of space, and slow connections make large transfers painful. Being able to calculate a file size by hand, and explain how compression reduces it, is exactly what 0478 expects you to do without a calculator doing the thinking for you.

Ọ dị na ngwa Green Bridge

Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.

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Ayẹwo Ẹkọ

Ekele diri gi maka imecha ihe karịrị na Data Storage And Compression. Ugbu a na ị na-enyochakwa isi echiche na echiche ndị dị mkpa, ọ bụ oge iji nwalee ihe ị ma. Ngwa a na-enye ụdị ajụjụ ọmụmụ dị iche iche emebere iji kwado nghọta gị wee nyere gị aka ịmata otú ị ghọtara ihe ndị a kụziri.

Ị ga-ahụ ngwakọta nke ụdị ajụjụ dị iche iche, gụnyere ajụjụ chọrọ ịhọrọ otu n’ime ọtụtụ azịza, ajụjụ chọrọ mkpirisi azịza, na ajụjụ ede ede. A na-arụpụta ajụjụ ọ bụla nke ọma iji nwalee akụkụ dị iche iche nke ihe ọmụma gị na nkà nke ịtụgharị uche.

Jiri akụkụ a nke nyocha ka ohere iji kụziere ihe ị matara banyere isiokwu ahụ ma chọpụta ebe ọ bụla ị nwere ike ịchọ ọmụmụ ihe ọzọ. Ekwela ka nsogbu ọ bụla ị na-eche ihu mee ka ị daa mba; kama, lee ha anya dị ka ohere maka ịzụlite onwe gị na imeziwanye.

  1. How many bits are there in a byte? A. 2 B. 4 C. 8 D. 16 Answer: C
  2. An image is 200 x 100 pixels with a colour depth of 8 bits. Its size in bits is: A. 20 000 B. 160 000 C. 2 000 000 D. 1 600 Answer: B
  3. How many bytes are there in 1 kibibyte (KiB)? A. 8 B. 100 C. 1000 D. 1024 Answer: D
  4. Which statement about lossy compression is correct? A. It removes data permanently B. The original can always be rebuilt exactly C. It is ideal for text files D. It never reduces image quality Answer: A
  5. Run length encoding is best described as: A. a lossy method that deletes colours B. a lossless method that stores runs of repeating data as a value and a count C. a method only used on sound files D. a way of increasing file size Answer: B

Ọ dị na ngwa Green Bridge

Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.

Akwụkwọ ndụmọdụ zuru oke nwere eserese
Onye inyeaka mmụta AI
Mụọ n'ụzọ na-enweghị ịntaneti, oge ọbụla, ebe ọbụla
Ọ dị na Android, Windows, macOS, na Linux

Ọ dị na ngwa Green Bridge

Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.

Akwụkwọ ndụmọdụ zuru oke nwere eserese
Onye inyeaka mmụta AI
Mụọ n'ụzọ na-enweghị ịntaneti, oge ọbụla, ebe ọbụla
Ọ dị na Android, Windows, macOS, na Linux

Meecha Ajụjụ Ule Ọmarịcha

Ị chọrọ ime ajụjụ ule ọmarịcha gbasara Data Storage And Compression? Budata ngwa Green Bridge CBT iji nweta ajụjụ ule ọmarịcha na nyocha zuru ezu gbasara isiokwu a.

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