Pedro Duarte Pestana
Tânia de Jesus Vilela da Rocha

Information Visualization
IV

Upon completion of this course unit the student should be able to:
1. Recognize the importance of VI in the design and implementation of interactive computer applications for different application areas;
2. Distinguish the models and techniques for extracting information structures;
3. Identify and classify the data according to their characteristics, assessing their appetite for representation and presentation (multisensory);
4. Identify, analyze, categorize and evaluate available systems and technology; apply this in the development of information visualization solutions.

1. Introduction to Information Visualization: history, objectives and general principles, roadmap of technologies and applications.
2. Extraction of Informational Structures: proximity and connectivity; clustering and classification; virtual structures; analysis and modeling of structures; similarity analysis.
3. Representation and Presentation of Data / Information: mental and user model; quantitative and qualitative characteristics; multisensory presentation (visual, auditory, tactile, others).
4. Visualization Techniques and Algorithms: graphs, trees, two-, three- and multidimensional visualization; networks; perspectives; filters; maps.
5. Systems and applications: analysis and experimentation with systems, applications for information visualization; Case Study.

Chen, Ch., Information Visualization – beyond the horizon, Springer, ISBN: 1852337893;
Spence, R, Information Visualization, Addison Wesley, ISBN: 0201596261;
Ware, C., Information Visualization: Perception for Design, Morgan Kaufmann, ISBN: 1558608192.
 

E-learning

Evaluation is made on individual basis and it involves the coexistence of two modes: continuous assessment (60%) and final evaluation (40%). Further information is detailed in the Learning Agreement of the course unit.