- Units
- bit
- nibble
- byte
- kilobyte
- gigabyte
- petabyte
- megabyte
- terabyte
- Explain that data needs to be converted into a binary format to be processed by a computer (Von Neumann)
- Numbers
- how to convert positive denary whole numbers (0–255) into 8 bit binary numbers and vice versa
- how to convert positive denary whole numbers (0–255) into 2 digit hexadecimal numbers and vice versa
- how to convert from binary to hexadecimal equivalents and vice versa
- how to add two 8 bit binary integers and explain overflow errors which may occur
- How Text is represented in computer systems
- the term character-set
- the use of binary codes to represent characters
- ASCII (7 Bit)
- ODD Parity Check
- EVEN Parity Check
- Extended ASCII (8 Bit)
- Unicode
- the relationship between the number of bits per character in a character set and the number of characters which can be represented (for example ASCII, extended ASCII and Unicode)
- How IMAGES are represented in computer systems
- VECTORS
- Mathematical formula states how image is displayed
- BITMAPS
- Explain how an image is represented as a series of pixels represented in binary
- What is meant by the term resolution of an image?
- What is meant by the term colour depth of an image?
- the effect of colour depth and resolution on the size of an image file.
- metadata included in the file
- How SOUNDS are represented in computer systems
- how sound can be sampled and stored in digital form (ADC)
- how factors affect the size of a sound file and the quality of its playback:
- sample size (time in seconds)
- Bit depth (aka sample resolution)
- sampling frequency.
- Using the above to find the size of a file
- Binary Shifts
- Check digits
- The need for Compression
- Type of compression - LOSSY
- Type of compression - LOSSLESS

Christopher Bell