Computer Graphics Education and the understanding of pixel plotting algorithms using Growth Aggregation models

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dc.contributor.authorRoberts, Jonathanen_US
dc.contributor.editorJohn Collomosse and Ian Grimsteaden_US
dc.date.accessioned2014-01-31T20:11:55Z
dc.date.available2014-01-31T20:11:55Z
dc.date.issued2010en_US
dc.description.abstractIt is sometimes difficult to teach fundamental aspects of computer graphics, especially pixel plotting techniques, as some students fail to engage with the material. In this paper we describe a constructionist approach to help students learn about fundamental computer graphics techniques. By getting the students to develop code that performs a growth aggregation model, principally using Diffusion Limited Aggregation techniques, reflect upon that code and make a critical analysis of their own work in a report we hope the students will learn the material. An evaluation of two years of students' work, their results and various indicators suggest that this approach has been successful and the students engaged with the material betteren_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-75-3en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG10/115-122en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation Viewing algorithmsen_US
dc.titleComputer Graphics Education and the understanding of pixel plotting algorithms using Growth Aggregation modelsen_US
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EG UK Theory and Practice of Computer Graphics 2010