The world around us is brimming with structure that consists of discrete entities and relationships between those entities. These structures can be represented as a set of vertices and a set of links that formally define a graph. A complex network is nothing more than a very large graph where the links are neither predictable nor completely random. This course will present the mathematical and statistical techniques used to classify and characterise networks and then require you to work with real data sets to visualise and study networks that arise in ecology and epidemiology.