Additional information: http://vad.ssdi.di.fct.unl.pt
Knowledge
• What is Visual Analytics (VA).
• The role of interaction in VA.
• Data Visualization’s role in Exploratory Data Analysis (EDA) and the design of machine learning models.
• The concept of Visual Variable.
• VA techniques for multivariate data, spatial data and time dependent data.
• The main general components of VA systems.
• Methodologies for comparison and evaluation of VA techniques and systems.
Application
• Choose the VA techniques most appropriate to a data set and objectives.
• Use a VA system to explore and view one or more datasets.
• Design and implement a ADV solution for a data class and for a set of exploration objectives.
Soft-Skills
• Understand the multidisciplinary nature of this area and understand its relationship with other areas of knowledge and engineering.
• Explore the experimental nature of VA
Introduction to Data Visualization
What Is Visualization?
Relationship between Visualization and Other Fields.
The Visualization Process.
Data Foundations.
Human Perception and Information Processing.
Semiology of Graphical Symbols.
The Visual Variables.
Visualization Techniques
Visualization Techniques for Spatial Data
Visualization Techniques for Geospatial Data
Visualization Techniques for Time-Oriented Data
Visualization Techniques for Multivariate Data
Visualization Techniques for Trees, Graphs, and Networks
Text and Document Visualization
Interaction Concepts and Techniques
Interaction Operators, Operands and Spaces (screen, object, data, attributes)
Visualization Structure Space (Components of the Data Visualization)
Animating Transformations
Interaction Control
Designing Effective Visualizations
Comparing and Evaluating Visualization Techniques
Visualization Systems
Systems Based on Data Type
Systems Based on Analysis Type
Text Analysis and Visualization
Modern Integrated Visualization Systems
Toolkits
Research Directions in Visualization
MainBibliography:
Visualization Analysis & Design,Tamara Munzner,2015, ISBN: 9781466508910
ISBN (e-Book): 9781498707763
How Charts Lie: Getting Smarter about Visual Information.Alberto Cairo,2019
ISBN-13: 978-1324001560
General progamming skills
| Hours per credit | 28 | ||
| Hours per week | Weeks | Hours | |
| Aulas teóricas | 28.0 | ||
| Aulas teórico-práticas | 28.0 | ||
| Avaliação | 6.0 | ||
| Self study | 60.0 | ||
| Orientação tutorial | 4.0 | ||
| Project | 40.0 | ||
| Total hours | 166 | ||
| ECTS | 6.0 | ||