Data Visualization
Objectives
None.
General characterization
Code
200176
Credits
4.0
Responsible teacher
Pedro da Costa Brito Cabral
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
- Introdução à visualização
- Abstração de dados e tipos de dados
- Marcas e canais
- Visualização de tabelas
- Dados espaciais
- Gráficos
- Redes e árvores
- Cor
- Narrativa
Bibliography
Tamara Munzner (2014). Visualization Analysis and Design. CRC Press.
Nathan Yau (2011). Visualize this ¿ The FlowingData Guide to Design, Visualization, and Statistics. Wiley Publishing, Inc.
Teaching method
1st phase
- Data Visualization academic paper presentation - groups of up to 4 students (15%). The paper must be selected from one of the following journals:
- http://journals.sagepub.com/home/ivi
- https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2945
- https://www.journals.elsevier.com/visual-informatics/
Papers from other journals can also be selected. In any case, the paper selection must be approved by the professor by email before 2/December. The list with the 5-minute presentations will be made available until 4/December
- Project report and presentation (35%). The dates of the presentations are 21 and 22 of January.
- 1st phase exam (50%) (40 multiple choice and T or F questions, no minimum grade)
2nd phase
- Project report and presentation (50%). It is not possible to improve the grade of the project presented on 21and 22 of January 2020.
- 2nd phase Exam (50%) (minimum grade is 9.5 points, 3 open questions and 40 multiple choice and T or F questions).
Evaluation method
Inglês.
Subject matter
Aulas teórico-práticas relacionadas com conceitos de Visualização de Dados e software específico (Python).