Moodle@Warwick

In the era of networks, big data and the digital turn, traditional objects, such as documents, pictures, data, groups, events or patterns, open up to new methods of research. Emerging digital research methods also become means through which such objects are sustained, thus co-creating dynamic objects, such as networks, databases, platforms, data visualizations, maps and many other new forms of social, cultural and public life. This module offers an insight into these new and emerging societal and cultural entities and methodologies.

For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im904-digital-objects-digital-methods/

In the era of networks, big data and the digital turn, traditional objects, such as documents, pictures, data, groups, events or patterns, open up to new methods of research. Emerging digital research methods also become means through which such objects are sustained, thus co-creating dynamic objects, such as networks, databases, platforms, data visualizations, maps and many other new forms of social, cultural and public life. This module offers an insight into these new and emerging societal and cultural entities and methodologies.

For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im904-digital-objects-digital-methods/

This module introduces the rapidly growing field of urban science with a focus on concepts and methods for understanding modern cities and the integration of emerging technologies in the urban space. It provides a broad and systematic exposure to a range of topics and methods on urban science with emphasis given to spatial analysis.

This is achieved through the combination of three inter-related components:

1. theoretical foundations of urban science;

2. a methodological approach to the urban space with emphasis to theory and methods for spatial analysis; and

3. practice in urban science, carried out in the form of a student-led group project to solve an urban science challenge using a real-world scenario and data.