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BASC2022 Data Literacy and Visualisation
||Claire Warwick and Simon Mahony (Digital Humanities); Martin Zaltz Austwick and Andy Hudson-Smith (CASA)|
Most suitable for:
Cultures or Sciences & Engineering pathways
Mode of Assessment:
This is a joint Digital Humanities - CASA (Centre for Advanced Spatial Analysis) course and will cover all aspects of online digital literacy (in the reading and writing sense) - covering the critical processes necessary to find and assess online resources, the analytical and visualization tools necessary to explore them further, and the techniques used to present the results of these explorations to the online world.
Introduction to the web: The structure and function of the web
Online resources: Locating and evaluating online resources
Deconstructing and analyzing documents
Textual analysis: Analysing large text corpora using electronic tools
Numerical Data: Handling and understanding large numerical datasets
Introduction to visualization: Why and how do we visualise data? Spatial visualisation; pseudo-spatial visualisation (e.g. networks)
Methods of visualization: Using animation and time-slicing; relating visualisations to traditional graphing and analytical metrics.
Sharing visualisations: Research blogging; social media.
Advanced publishing techniques and technologies
Digitisation and the creation of resources: Online scholarly resources and their impact