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  • FOUNDATION YEARS
  • GCSE
  • IB
  • A LEVEL
  • LEARN TO CODE
  • CHALLENGES
  • ROBOTICS ENGINEERING
  • MORE
    • CLASS PROJECTS
    • Classroom Discussions
    • Useful Links
    • SUBSCRIBE
    • ABOUT US
    • CONTACT US

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TERMINOLOGY GLOSSARY
  • ​Binary: A numbering system that uses only 0s and 1s to represent data.
  • Logic Gates: Electronic circuits that implement Boolean logic functions, such as AND, OR, and NOT.
  • Registers: Digital electronic devices that store data and operate on it.
  • Denary: A numbering system that uses base 10, also known as the decimal system.
  • Overflow Error: A mathematical error that occurs when a calculation exceeds the maximum value that can be stored or represented.
  • Hexadecimal: A numbering system that uses base 16, and uses 0-9 and A-F to represent values from 0 to 15.
  • Logical Binary Shift: An operation that moves all the bits of a binary number to the left or right, while preserving the sign of the number.
  • Most Significant Bit(s): The leftmost bit(s) of a binary number, which have the highest place value.
  • Two’s Complement: A method of representing negative numbers in binary by inverting all the bits and adding 1 to the result.
  • ASCII: A character encoding system that represents text using 7 or 8 bits per character.
  • Character Sets: Collections of characters and symbols that are used to represent text in computing.
  • Unicode: A character encoding system that supports a wide range of languages and scripts, including emoji.
  • Sound Sample Rate: The number of times per second that a sound signal is measured or sampled to create a digital representation.
  • Sound Sample Resolution: The number of bits used to represent each sample of a sound signal.
  • Analog: Signals that are continuous and vary smoothly over time.
  • Pixel: Short for "picture element," a single point in a digital image.
  • Image Resolution: The number of pixels in an image, usually measured as width x height.
  • Image Colour Depth: The number of bits used to represent the colour of each pixel in an image.
  • Data Compression: Techniques used to reduce the amount of data needed to store or transmit information.
  • Lossy Compression: A type of data compression that reduces file size by permanently removing some of the data.
  • Lossless Compression: A type of data compression that reduces file size without removing any data.
  • Run Length Encoding: A simple form of data compression that replaces long runs of repeating data with a shorter code.
  • Bandwidth: The amount of data that can be transmitted over a network or communication channel in a given amount of time.
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ALSO IN THIS TOPIC
1.1.1 NUMBER SYSTEMS | Why Computers use Binary
1.1.2 NUMBER SYSTEMS | Binary, Hex and converting between number systems 
1.1.3 NUMBER SYSTEMS | Benefits of Hex
1.1.4 NUMBER SYSTEMS | Binary Addition and Overflow
1.1.5 NUMBER SYSTEMS | Binary Shifts
1.1.6 NUMBER SYSTEMS | Negative Number Representation, Two's Complement
1.2.1 TEXT, SOUND AND IMAGES | How Computers Represent Text
1.2.2 TEXT, SOUND AND IMAGES | How Computers Represent Sound
1.2.3 TEXT, SOUND AND IMAGES | How Computers Represent Images
1.3.1 STORAGE AND COMPRESSION | How Data Storage is Measured
​1.3.2 STORAGE AND COMPRESSION | Calculating Image and Sound File Size
​1.3.3 STORAGE AND COMPRESSION | Purpose of Data Compression
​1.3.4 STORAGE AND COMPRESSION | Lossy and Lossless, how files are compressed
TOPIC 1 KEY TERMINOLOGY
TOPIC 1 ANSWERS
TOPIC 1 TEACHER RESOURCES (CIE)
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