This module introduces concepts related to data visualization, and develops practical skills in visualization. Specific themes include:


 Principles of data...

This module introduces concepts related to data visualization, and develops practical skills in visualization. Specific themes include:

Principles of data visualization
 Types of visualization
 Meaning and mis-representation in visualisations
 Critical assessment of existing visualisations
 Acquiring, processing and preparing data
 Creating basic and more advanced visualisations using appropriate software
 Geographic Information Systems – principles
Learning Outcomes

On successful completion of the course, students will:

Recognise different types of data visualisation
 Understand the need to use visualisations appropriately
 Qualitatively assess ‘good’ and ‘bad’ examples of data visualisation
 Be able to prepare data in order to load in to appropriate software
 Use an appropriate programming language to produce a variety of types of data visualisation
 Be able to choose appropriate visualisation approaches given different type so data
 Be able to use GIS software to produce maps
Compulsory module on the MSc in Digital Humanities, and the MSc in Knowledge, Information and Data Science.

Optional module on the MA in Digital Humanities.

Art History and Visual Cultures|History|History of Art|History of Science and Medicine|Modern History|Museum Studies|Philosophy|Philosophy of Science

This module explores the interactions between science and art from the mid-nineteenth century to the present. Its philosophical focus is the notion of...

This module explores the interactions between science and art from the mid-nineteenth century to the present. Its philosophical focus is the notion of "representation," conceived as a crucial common link between scientific and artistic visual practices. Integrating the history and philosophy of scientific and artistic representations, the module will address a broad range of issues. These will include questions on the nature and role of visual representations in scientific and artistic practice, what counts as "objective" and "accurate" representation, when and how images count as "evidence," and whether the relations between science and modernism contribute to overturn the common sense view that "art invents, science discovers". No prerequisites.