Unit 3 Fundamentals of algorithms

A concise summary of the notes I used when I was studying for my A-levels. I have checked that this summary follows all of the points on the AQA specification to ensure that it covers everything that you will need to know. It includes all of the definitions and examples that you need to know, as well as comparison tables to be able to quickly breakdown concepts and how they relate to eachother. I wrote this with the exam questions in mind and alot of the knowledge within it should be wo...

Level up your skills with these expertly written notes covering the fundamentals of algorithms topic from the AQA A-level Computer Science specification. Whether you're preparing for Paper 1 or reinforcing your understanding throughout the year, this resource is designed to make complex concepts crystal clear (used and made by a consistently A/A* student). What’s Inside: - Detailed explanations - Clear breakdown to reinforce understanding - Key terminology to help you apply concepts ...

Includes enough information for A-level students and degree level students, comprehensive notes on Dijkstra's shortest-path algorithm | A-level content | A* Revision

These are some of my notes for the AQA A-Level Computer Science course on algorithms, time and space complexity, the classification of algorithms, computational limits, and a few other small areas. The document includes a range of formatted equations, worked examples of Dijkstra's algorithm with a sample implementation, and more. Key points are highlighted, and the sections are split up. Please note that there may be a few formatting errors within the document. They don't affect the info...

All of the algorithms students need for their A-Level exam- both the pseudocode and Python code. Sorting and searching algorithms are covered in detail and fully commented.

This document covers what Big O notation is and why it is used, as well as the algorithms associated with it.