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Summary ALL OF COMPUTER SCIENCE NOTES 0478 (everything U NEED TK)

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Summary of 22 pages for the course Cambridge at Cambridge (ITS HELPT LOADS)

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  • July 16, 2024
  • 22
  • 2023/2024
  • Summary
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Computer Science Paper 1

● Data representation
● Data transmission
● Hardware
● Software
● The internet and its uses
● Automated and Emerging technologies




Data representation

Any information needs to be converted into BINARY



Binary:
- Base 2 number system
- 2 values → 1 (ON) and 0 (OFF)
- Switches
- Logic gates



Denary:
- Base 10 number system


Hexadecimal:
- Base 16 number system




Programmers find hexadecimal more convenient:
❖ 1 hex represents 4 binary digits → more compact
❖ Easier to read, write and copy
❖ Less prone to errors


USES OF HEXADECIMAL (EMIH)
❖ Error codes
❖ MAC address (Media access and control)
❖ IP address (internet protocol)
❖ HTML (hypertext markup language)

,Overflow Error → extra bit → register may have a fixed size → thus extra bit is log


Logical Shift

- Left → x2 1 = x2 2 = x4 3 = x8
- Right → ÷2 1 = ÷2 2 = ÷4 3 = ÷8

- Registers often have a 8 bit limit
- Multiplying can cause bits to be lost
- Losing the most significant bit




Two's Complement
- Used to represent negative numbers

If start digit:
0 = positive
1 = negative




Text
- Every character is represented by binary code

- Character set: collection of characters and symbols that have been defined or recognised by the computer,
each character and symbol has a unique value.
ASCII
UNICODE



ASCII UNICODE

Unique 8 bit binary code Uses 16 to 32 bits

UC, LC, digits and punctuation marks Characters in different languages can be represented

Uses values 0 to 127 Emojis

128 to 256 characters Unicode has 60 thousand to 4 billion characters

1 byte for 1 character 4 bytes for 1 character

Characters used in other language can be represented



Disadvantage for using UNICODE
More bits per character can result in a larger file size and slow processing times when working with text based data

, Sound (is analogue as it varies continuously)

- Analog sound is Captured and recorded using microphone
- The sound wave is sampled at regular time intervals to measure the amplitude
- This gives an approximate representation of sound waves
- Each amplitude has a unique binary value
- The sample rate is set which is the number of samples taken per second
- The sample resolution is set which is the number of bits used for each sample
- Each sample taken is converted to binary


Sampling Resolution (Bit depth)
- Number of bits used to represent sound amplitude in digital sound recording

- Increase sampling resolution
Gives more accurate representation of sound wave
Greater quality
Increase file size




Sample Rate
- The number of sound samples taken per second
1Hz = 1 sample per second

- Increasing sample rate
Gives a more accurate representation
Greater quality
Increase file size




pros and cons of increasing sample rate/resolution

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