Copyright 2017 - CSIM - Asian Institute of Technology

Selected Topic: Information Visualization

Course code: AT71.9001
Credits: 3(3–0)
This course is elective

Course objectives

Information Visualization is a relatively new area of research that applies interactive graphical interfaces to reveal relationships and enable exploration of large complex sets of information. The goal of the course is to give you an overview of the field and hands-on experience with using visualization tools to analyze common types of information, such as the multidimensional data in databases and the semi-structured information in document collections and hypertext. This course will cover the following: " overview of the state-of-the-art " perceptual, cognitive, and interactive factors that influence effective visualizations " algorithms for extracting and analyzing relationships in data and text collections " case studies using open-source software

Learning outcome

" Information Visualization, Visual Analysis, Interactive Graphics, Human Computer Interaction.

Course outline

I  Introduction and Overview

II  Perception, Cognition and Interaction

  1. Theories of visual perception and cognition
  2. External cognition and diagrammatic reasoning
  3. Dimensionality of data and representations

III  Data and Text Analysis

  1. Multidimensional scaling, Clustering
  2. Vector space analysis

 

IV  Visualization Techniques

  1. Temporal and multidimensional representations
  2. Hierarchical and network representations
  3. Text and document collections
  4. Multiscale & small displays

V  Interaction Techniques

  1. Brushing & linking, Dynamic queries
  2. Focus + context

VI  Case Studies

  1. Multidimensional: Bioinformatics, Databases
  2. Networks: WordNet, MeSH, Bayes nets, Social networks
  3. Text: Document collections, hypertext, chat conversations

Learning resources

Textbook

Course material will be taken from reference books and articles and provided before classes.

Reference books

Bertin, J. (1983) Graphics and Graphic Information Processing . Walter de Gruyter.
Bertin, J. (1982) Semiology of Graphics . University of Wisconsin Press.
Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Readings in information visualization : using vision to think. San Francisco , Calif. : Morgan Kaufmann Publishers.
Fayyad U. , Grinstein G., Wierse A., (2001) Information visualization in data mining and knowledge discovery . Morgan Kaufmann Publishers Inc., San Francisco , CA. 300 pp.
Spence, R. (2000) Information Visualization . ACM Press.
Tufte, E. R. (1983). The Visual Display Of Quantitative Information . Cheshire , Connecticut : Graphics Press.
Tufte, E. R. (1990). Envisioning Information . Cheshire , Conn. ( P.O. Box 430 , Cheshire 06410 ): Graphics Press.
Tufte, E. R. (1997). Visual explanations : images and quantities, evidence and narrative . Cheshire , Conn. : Graphics Press.

Grading

Class participation: 20%
Presentation: 20%
Projects: 40%
Exam: 20%

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