EPISODE · Jan 12, 2026 · 16 MIN
A-Level Computer Science – Graphs Explained (Adjacency Matrices & Lists) (OCR / AQA) | S7:Ep6
from Ultimate A-Level Computer Science Podcast · host Teacher of Computing - AHC
The episode offers an overview of graphs as a data structure in computer science, distinct from mathematical graphs. It defines key terminology such as vertex/node, edge/arc, weighted graph, undirected graph, and directed graph. The material also explains two primary methods for representing graphs: adjacency matrices and adjacency lists, comparing their advantages and disadvantages regarding memory efficiency and ease of use. Finally, the episode highlights various real-world applications of graphs, including computer networks, social networks, and navigation systems, even mentioning Google's PageRank algorithm as an example.
What this episode covers
The episode offers an overview of graphs as a data structure in computer science, distinct from mathematical graphs. It defines key terminology such as vertex/node, edge/arc, weighted graph, undirected graph, and directed graph. The material also explains two primary methods for representing graphs: adjacency matrices and adjacency lists, comparing their advantages and disadvantages regarding memory efficiency and ease of use. Finally, the episode highlights various real-world applications of graphs, including computer networks, social networks, and navigation systems, even mentioning Google's PageRank algorithm as an example.
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A-Level Computer Science – Graphs Explained (Adjacency Matrices & Lists) (OCR / AQA) | S7:Ep6
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