Information Visualization
Cod: 22126
Department: DCET
ECTS: 6
Scientific area: Information and Communication Technologies
Total working hours: 156
Total contact time: 30

The aim of this UC is to provide the fundamental knowledge and skills about the main principles, concepts, models and techniques underlying the visualization of information (VI). The student is expected to develop skills for the design and autonomous implementation of VI solutions, considering the most diverse types and categories of data and information content.

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.