modules

The rise of the Web has created huge datasets relating to the interaction of users and online content. Much of this content is relational and is best understood using a network perspective (for example, hyperlinked web pages; users linking to content; users linking to users on social platforms). Much of this content consists of unstructured text (for example, webpages, blogs, social media posts) that requires computational methods for analysis at scale. In this module you will learn the core principles of social network analysis and computational text analysis, enabling you to gain insight from the rich data available on the Web. Pre-requisites: ECMM444 Fundamentals of Data Science or equivalent. Co-requisites: None.

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}