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  Dr P Chapman  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Euler Diagrams are known to be an effective method of representing set-based data, and can be applied to different fields, including ontology development. Drawing effective Euler diagrams is difficult, but the lack of interactivity in online tools hinders adoption of diagrams even more. In this project, adding interactivity to different Euler diagram variants will be investigated and evaluated, with open source tools that can be widely adopted seen as a key output. Examples of interactivity could be those which do not change the meaning of the diagram, such as re-arranging curves, to those which fundamentally alter the diagram, such as adding or deleting curves.

Prospective applicants are encouraged to contact the Supervisor before submitting their applications. Applications should make it clear the project you are applying for and the name of the supervisor(s).

Academic qualifications

A first degree (at least a 2.1) ideally in Computer Science or a closely related discipline, with a good fundamental knowledge of programming, set theory and basic statistical methods.

English language requirement

IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.

Essential attributes:

· Experience of fundamental computer science, with strong programming skills.

· Competent in set theory, logic and discrete mathematics.

· Knowledge of statistical methods.

· Good written and oral communication skills

· Strong motivation, with evidence of independent research skills relevant to the project

· Good time management

For enquiries about the content of the project, please email Dr Peter Chapman [Email Address Removed].

For information about how to apply, please visit our website https://www.napier.ac.uk/research-and-innovation/research-degrees/how-to-apply

To apply, please select the link for the PhD Computing FT application form

Computer Science (8) Mathematics (25)

References

Visualization Analysis and Design. T. Munzner, CRC Press, 2014 Experiemental Human Computer Interaction: A Practical Guide with Visual Examples. H. Purchase, CUP, 2012
Fluid Interaction for information visualization. Elmqvist et. al., Information Visualisation 10(4), 2011.
Visualizing sets: An Empirical Comparison of Diagram Types. Chapman et. al., Diagrams 2014, Springer, 2014.
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 About the Project