Português English
Contato

Lista de Disciplinas | CMP596

Tópicos Especiais em Computação DXCVI – Visual Analytics for Data Science

Responsável: João Luiz Dihl Comba
Pré-requisitos: –
Carga Horária: 60 hs
Créditos: 4
Mátricula de Graduandos: A matrícula será feita como aluno especial

SÚMULA: 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.

OBJETIVOS:
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.

CONTEÚDO PROGRAMÁTICO:
1. Introduction: Visual Analytics in Data Science
2. Visual Analytics Basics
3. Visual Analytics Basics
4. Visual Analytics for Text Analysis
5. Visual Analytics for Text Analysis
6. Visual Analytics for Cluster Analysis
7. Visual Analytics for Cluster Analysis
8. Visual Analytics for Machine Learning
9. Visual Analytics for Machine Learning
10. Data Systems for Interactive Visual Analytics of Big Data
11. Data Systems for Interactive Visual Analytics of Big Data
12. Visual Analytics for High-Dimensional Data
13. Visual Analytics for High-Dimensional Data
14. Visual Analytics for Urban Data
15. Visual Analytics for Urban Data
16. Sports Visual Analytics
17. Sports Visual Analytics
18. Visual Analytics for Social Media
19. Visual Analytics for Social Media
20. Visual Analytics in Medicine
21. Visual Analytics in Medicine
22. Visual Analytics in Biology
23. Visual Analytics in Biology
24. Visual Analytics in Security Applications
25. Visual Analytics in Security Applications
26. Immersive Analytics
27. Immersive Analytics
28. Survey Paper Presentations
29. Survey Paper Presentations
30. Survey Paper Presentations
TÉCNICAS DE ENSINO: The course is centered on the presentation and
discussion of current papers describing visual analytics techniques for data
science.

CRITÉRIOS DE AVALIAÇÃO: 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.

BIBLIOGRAFIA: 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.