
Big O Notation Posters – Algorithm Complexity Display (Set of 2)
This resource contains a set of two Big O Notation posters designed to support understanding of algorithm time complexity in Computer Science.
The posters present the main Big O categories in a clear, visual format, helping students recognise and compare algorithm efficiency through regular classroom exposure.
What’s included
Two posters covering the following complexity classes:
Constant
Logarithmic
Linear
Polynomial (Quadratic)
Exponential
Suitable for
GCSE Computer Science
A Level Computer Science
Introductory university Computer Science
Classroom display and revision support
The content aligns with UK Computer Science specifications, including OCR, AQA, Edexcel, WJEC and Eduqas.
How it can be used
Displayed in Computer Science classrooms or ICT suites
Used as a visual reference during algorithm lessons
Support material for revision and exam preparation
File details
2 poster designs
High-quality PDF files
Sizes included: A4, A3, A2 & US Letter
Suitable for printing and lamination
Notes
Digital resource – no physical items included
Colours may vary slightly depending on printer settings
Files are provided for classroom use
This poster set supports students in developing a clear, comparative understanding of algorithm complexity, a key concept in Computer Science courses.
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