Overview of Learning

• 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