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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
PRIVACY POLICY
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.
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)