{"id":3527,"date":"2018-01-17T10:58:31","date_gmt":"2018-01-17T12:58:31","guid":{"rendered":"http:\/\/www.inf.ufrgs.br\/profcomp\/?page_id=3527"},"modified":"2019-12-13T15:42:32","modified_gmt":"2019-12-13T18:42:32","slug":"cmp596","status":"publish","type":"page","link":"https:\/\/www.inf.ufrgs.br\/profcomp\/lista-de-disciplinas\/cmp596\/","title":{"rendered":"CMP596"},"content":{"rendered":"

T\u00f3picos Especiais em Computa\u00e7\u00e3o DXCVI \u2013 Visual Analytics for Data Science<\/span><\/h3>\n

Respons\u00e1vel: Jo\u00e3o Luiz Dihl Comba<\/a>
\nPr\u00e9-requisitos: –
\nCarga Hor\u00e1ria: 60 hs
\nCr\u00e9ditos: 4
\nM\u00e1tricula de Graduandos: A matr\u00edcula ser\u00e1 feita como aluno especial<\/p>\n

S\u00daMULA:<\/strong> Visual analytics techniques are playing a key role in the data scienceanalysis and discovery process. In this course we focus on state-of-the-arttechniques that employ visual analytics techniques in a variety of data scienceapplications, including: text analysis, cluster analysis, machine learning, big data,high-dimensional data, urban data, sports, healthcare, medicine, and immersiveapplications.
\n
\nOBJETIVOS: <\/strong>The goal of this course is to offer an up-to-date presentation ofvisual analytics techniques for data science analysis. The course focus in thepresentation of current work in a multitude of data science fields, which can beuseful for students pursuing varying research fields.<\/p>\n

CONTE\u00daDO PROGRAM\u00c1TICO:<\/strong>
\n1. Introduction: Visual Analytics in Data Science
\n2. Visual Analytics Basics
\n3. Visual Analytics Basics
\n4. Visual Analytics for Text Analysis
\n5. Visual Analytics for Text Analysis
\n6. Visual Analytics for Cluster Analysis
\n7. Visual Analytics for Cluster Analysis
\n8. Visual Analytics for Machine Learning
\n9. Visual Analytics for Machine Learning
\n10. Data Systems for Interactive Visual Analytics of Big Data
\n11. Data Systems for Interactive Visual Analytics of Big Data
\n12. Visual Analytics for High-Dimensional Data
\n13. Visual Analytics for High-Dimensional Data
\n14. Visual Analytics for Urban Data
\n15. Visual Analytics for Urban Data
\n16. Sports Visual Analytics
\n17. Sports Visual Analytics
\n18. Visual Analytics for Social Media
\n19. Visual Analytics for Social Media
\n20. Visual Analytics in Medicine
\n21. Visual Analytics in Medicine
\n22. Visual Analytics in Biology
\n23. Visual Analytics in Biology
\n24. Visual Analytics in Security Applications
\n25. Visual Analytics in Security Applications
\n26. Immersive Analytics
\n27. Immersive Analytics
\n28. Survey Paper Presentations
\n29. Survey Paper Presentations
\n30. Survey Paper Presentations
\nT\u00c9CNICAS DE ENSINO:<\/strong> The course is centered on the presentation and
\ndiscussion of current papers describing visual analytics techniques for data
\nscience.<\/p>\n

CRIT\u00c9RIOS DE AVALIA\u00c7\u00c3O:<\/strong> The course requires that the students prepare andpresent selected papers during the semester, and prepare a final survey paperdescribing a collection of techniques in a given data science application.<\/p>\n

BIBLIOGRAFIA:<\/strong> State-of-the-art papers in the field of visual analytics for data science, in particular from conferences such as: IEEE VISUALIZATION, EUROVIS, KDD, VLDB.<\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00f3picos Especiais em Computa\u00e7\u00e3o DXCVI \u2013 Visual Analytics for Data Science Respons\u00e1vel: Jo\u00e3o Luiz Dihl Comba Pr\u00e9-requisitos: – Carga Hor\u00e1ria: 60 hs Cr\u00e9ditos: 4 M\u00e1tricula de Graduandos: A matr\u00edcula ser\u00e1 feita como aluno especial S\u00daMULA: Visual analytics techniques are playing a key role in the data scienceanalysis and discovery process. In this course we focus […]<\/p>\n","protected":false},"author":14,"featured_media":0,"parent":462,"menu_order":596,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/3527"}],"collection":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/comments?post=3527"}],"version-history":[{"count":3,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/3527\/revisions"}],"predecessor-version":[{"id":3763,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/3527\/revisions\/3763"}],"up":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/462"}],"wp:attachment":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/media?parent=3527"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}