Quantitative Methods

Led by Dr Thomas Oleron-Evans, Quantitative Methods will empower you with essential mathematical techniques to be able to describe quantitatively many aspects of a city. You will learn various methodologies, from traditional statistical techniques, to more novel approaches, such as complex networks. These techniques will focus on different scales and hierarchies, from the micro-level, e.g. individual interactions, to the macro-level, e.g. regional properties, taking into account both discrete and continuous variables, and using probabilistic and deterministic approaches. All these tools will be developed within the context of real world applications.

This class runs during term one, for two hours per week. 
Assessment is by a mix of presentations and coursework.

Quantitative Methods teaches Python through interactive notebooks to demonstrate a mathematical approach to the world.

Quantitative Methods teaches Python through interactive notebooks to demonstrate a mathematical approach to the world. Here, students examine the space-time characteristics of Twitter data.

Are my friends more popular than me? Network science and social systems.

Are my friends more popular than me? Students use Python packages to explore network science in social systems.