Logo

Craig 'n' Dave

Pearson Edexcel GCSE (1CP2) SLR 03 Topic 2 – Data representation

This download provides you with a zip file which contains all the resources you will need to deliver this topic.

It includes:

  • Student Learning Record Workbook (for use by students)
  • Student Learning Record Answers (for use by teachers)
  • End of Topic test and answers
  • Lesson PowerPoint’s for every lesson
  • Any associated answers or references sheets for class activities

This topic covers:

2.1 Binary

  • 2.1.1 understand that computers use binary to represent data (numbers, text, sound, graphics) and program instructions and be able to determine the maximum number of states that can be represented by a binary pattern of a given length.
  • 2.1.2 understand how computers represent and manipulate unsigned integers and two’s complement signed integers.
  • 2.1.3 be able to convert between denary and 8-bit binary numbers (0 – 255, -127 – 128).
  • 2.1.4 be able to add together two positive binary patterns and apply logical and arithmetic binary shifts.
  • 2.1.5 understand the concept of overflow in relation to the number of bits available to store a value.
  • 2.1.6 understand why hexadecimal notation is used and be able to convert between hexadecimal and binary.

2.2 Data representation

  • 2.2.1 understand how computers encode characters using 7-bit ASCII.
  • 2.2.2 understand how bitmap images are represented in binary (pixels, resolution, colour depth).
  • 2.2.3 understand how analogue sound is represented in binary (amplitude, sample rate, bit depth, sample interval).
  • 2.2.4 understand the limitations of binary representation of data when constrained by the number of available bits.

2.3 Data storage and compression

  • 2.3.1 understand that data storage is measured in binary multiples (bit, nibble, byte, kibibyte, mebibyte, gibibyte, tebibyte) and be able to construct expressions to calculate file sizes and data capacity requirements.
  • 2.3.2 understand the need for data compression and methods of compressing data (lossless, lossy).

Only Craig'n'Dave members can download this resource.

Log in

Join us today and access all our premium resources.




Registered in England and Wales: 10442992

VAT Number: 290 9845 58

Telephone: 01452 947500

Email: admin@craigndave.co.uk

Bett Awards 2024 finalist badge
Teach Secondary Awards 2023 winners badge
ERA Awards 2023 finalist badge
Teach Secondary Awards 2022 finalist badge
Bett Awards 2022 finalist badge