A knowledge visualization course for the era of data science

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dc.contributor.authorSilveira I.F.
dc.date.accessioned2024-03-12T23:52:03Z
dc.date.available2024-03-12T23:52:03Z
dc.date.issued2019
dc.description.abstract© 2019 IEEE.Big data applications, as well as the whole myriad of applications arisen through the evolution of the body of knowledge commonly known as Data Science brings new challenges to CS-related courses curricula. The demands imposed in CS-related courses by the recent development of data-oriented application makes that visualization skills became an important part of both undergraduate and graduate formation. In this sense, this paper presents a syllabus for a Knowledge Visualization course, adaptable to both undergraduate and graduate levels, which aims to contribute to systematize the competences, skills and attitudes regarding data, information and knowledge visualization that are expected to be developed by future professionals.
dc.identifier.doi10.1109/CLEI47609.2019.235069
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35208
dc.relation.ispartofProceedings - 2019 45th Latin American Computing Conference, CLEI 2019
dc.rightsAcesso Restrito
dc.subject.otherlanguageBig Data
dc.subject.otherlanguageCurriculum
dc.subject.otherlanguageData Science
dc.subject.otherlanguageKnowledge Visualization
dc.subject.otherlanguageSyllabus
dc.titleA knowledge visualization course for the era of data science
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85084741168
local.scopus.subjectBig data applications
local.scopus.subjectBody of knowledge
local.scopus.subjectGraduate levels
local.scopus.subjectKnowledge Visualization
local.scopus.subjectVisualization skills
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084741168&origin=inward
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