Digital Tools and Methods

In this subject, students will learn how to use a range of digital tools and methods in the Python programming language. Students will learn how to learn from, work with and communicate digital data and to undertake data analysis. Students will gain a general knowledge of different tools and the rationales for digital methods. The methods taught may include data visualisation, data cleaning, network analysis and text analysis. Students will learn about how digitisation is affecting research in the Humanities and Social Sciences, and will learn how to obtain, clean and utilise data from the web, databases or society at large. Students will develop a critical understanding of data and modelling, and consider how digital analysis may or may not provide an insight into human society and culture. Throughout the term, students will undertake a number of template research projects in class. One of these templates will then form the basis for students' own Digital Project, which they will write and submit using the principles of reproducible research.