Informationsvisualisierung (Wintersemester 2010/2011)

Lecturer:

General Information

• Weekly Hours: 4
• Credits: 6
• Graded: yes
• Enrolment Deadline: 1.10.2010 - 31.3.2011
• Teaching Form: Lecture
• Enrolment Type: Compulsory Elective Module

Programs, Module Groups & Modules

Description

Graphical inventions and displays are an important external aid that utilize the powerful processing
capabilities of the human visual perceptual system to help the human analyst to reveal hidden patterns in
large and complex data spaces. This course will take a critical stance into interactive data visualization.
Instead of surveying existing approaches, we will discuss basic concepts and skills that contribute to successful
analysis of data. This course will also have a focus on how to present information clearly and effectively.

The students are required to team-up in groups (two students) to plan and implement a semester project.
Each group needs to choose one of the proposed projects. Seminar projects will be presented in a class
meeting.

The class will tentatively cover the following topics:

 1. Visual Encoding of Data
 2. Exploration and Interaction
 3. Analytical Techniques and Practices
 4. Scatterplots for Cluster Analysis/Complex Relationships
 5. Parallel Coordinates for High-Dimensional Data Spaces
 6. From Exploration to Visual Analytics

Requirements

There are no prerequisites for the class, and the class is open to students at all levels. However, a basic
working knowledge of a graphics API (e.g. OpenGL, Java2D/3D) will be useful. The programming project can
be developed using any suitable language. While these APIs, applications and languages will not be taught
in the class, many introductory tutorials at the level required for the class are available on the web.
).

Literature

• Robert Spence, Information Visualization: Design for Interaction, Prentice Hall; 2nd edition, 2006
• Edward R. Tufte, Visual Display of Quantitative Information, Graphics Press, 2001

Examination

The format of the class will be a mix of lecturing, student presentations and in-class project activities and
evaluation. Grading will be 20% on class work and 80% on a final semester project. The students will plan
and implement an interactive visualization tool that solves a difficult problem in a clever way as semester
project. The final grade of the course will be determined based on (a) the ability of the group to demonstrate
the merits of their interactive visualization to solve a problem in a novel and smart manner (semester
project), and (b) an understanding of basic concepts of interactive visualization (class work).

Dates

Die erste Vorlesung findet am Montag, den 18.10.10 um 13:00 im HS 3 statt.

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