Applied Information Visualization (4DV301)

Professor

Prof. Dr. Andreas Kerren

Time & Place

Compare here! In general, the lectures will take place in B3033 (Building B), each Monday from 13:15 till 15:00.

Teaching Period

IV (2014-03-24 till 2014-06-08)

Assessment

Assignments and oral examinations. Oral examinations will take place in room B3037 in week 23.

Prerequisites

90 credits in Computer Science incl. a course in Computer Graphics (1DV300) and 4DV300 Information Visualization, or similar documented experiences.

Credits

7.5 ECTS

Topic

Information Visualization in Special Domains

This course extends Information Visualization with visualization techniques and systems for special data sets, such as networked data (graphs and networks), time-dependent data, text, document collections, or software (so-called software visualization). Furthermore, we discuss the evaluation of visualizations, information visualization for the masses, as well as applications in bioinformatics, geography, etc.

This course aims at giving an overview of the most important techniques and prerequisites needed to develop effective visualizations of abstract information. After finishing the course, the students should be able to choose and develop the most suitable technique for special data sets and applications domains.

Schedule

This year, the course will not be given in form of regular lectures. The introduction lecture at the beginning will take place as usual. The remaining course will be performed as "self-study course" with additional two consultation hours in room B3033 that are offered twice during the teaching period. During this time, the students have the opportunity to ask questions and to discuss unclear things. The practical lab part and the oral examination will not change and are mandatory as usual.

#	Date	Topic	Slides
1	2014 03 24	Introduction and InfoVis Toolkits
		Text & Documents
		Graphs, Networks, and Applications
		WebVis and BioVis
		Time-series Visualization
2	2014 05 05	Discussion and Questions
		Software Visualization
		Visualizations for End-users & Collaboration
		Visual Analytics
		Evaluation and Top 10 InfoVis Challenges
3	2014 05 26	Discussion and Questions

Materials

Learning Environment:

Moodle

Visualization Tools and Libraries:

Prefuse Visualization Toolkit (Java)
Flare - Data Visualization for the Web (ActionScript)
Protovis (JavaScript)
Protovis-Java (Java)
D3 (JavaScript)
JavaScript InfoVis Toolkit (JavaScript)
Many Eyes (Online, Collaborative)
Visualize Free (Online, Dashboards)
InfoVis Toolkit (Java)
XmdvTool (Qt)
Processing (Environment for Graphics Programming)
Improvise (Java)

Interestings URLs:

Assignments

Assignments consists of theoretical and practical exercices as well as a short class presentation/demo. They will be supervised by Björn Zimmer.

Assignment 1 (Deadline: 2013-04-13)
Assignment 2 (Deadline: 2013-04-23)