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Applied Information Visualization (4DV801)

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. There are some exceptions due to some holidays.

Teaching Period

IV (2018-03-19 till 2018-06-01)

Assessment

Assignments and oral examinations. Oral examinations will take place in room B3037 in week 24.

Prerequisites

90 credits in Computer Science incl. a course in Computer Graphics (1DV800) and 4DV800 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, collaborative/personal information visualization, 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

Preliminary Schedule:

#	Date	Topic	Slides
1	2018 03 19	Introduction and InfoVis Toolkits
2	2018 03 26	Graphs, Networks, and Applications
3	2018 04 03	WebVis and BioVis
4	2018 04 09	Time-series Visualization
5	2018 04 16	Software Visualization I
6	2018 04 23	Software Visualization II	↑
7	2018 05 02	Text & Documents I
8	2018 05 07	Text & Documents II	↑
9	2018 05 14	Collaborative & Personal Visualization
10	2018 05 21	Visual Analytics
11	2018 05 23	Evaluation and Top 10 InfoVis Challenges

Materials

Learning Environment:

Moodle

Visualization Tools and Libraries:

D3 (JavaScript)
Rickshaw (JavaScript; based on D3)
Vega (JavaScript; based on D3)
plotly.js (JavaScript; based on D3)
Leaflet (JavaScript)
Google Charts (JavaScript)
Chart.js (JavaScript)
vis.js (JavaScript)
JavaScript InfoVis Toolkit (JavaScript)
Sigma (JavaScript)
Tableau (Visualization environment, Dashboards)
QlikView (Visualization environment, Dashboards)
Power BI (Visualization environment, Dashboards)
Visualize Free (Online, Dashboards)
yFiles (Several platforms)
Gephi (The Open Graph Viz Platform; Java)
Processing (Environment for graphics programming; several platforms)
Improvise (Java)
JFreeChart (Java)
ggplot2 (R)
Matplotlib (Python)

No longer in active development (not recommended for assignments):

Prefuse Visualization Toolkit (Java)
Flare - Data Visualization for the Web (ActionScript)
JUNG Java Universal Network/Graph Framework (Java)
InfoVis Toolkit (Java)
JChart (Java)
XmdvTool (Qt)

Interesting URLs:

Assignments

Assignments consist of theoretical and practical exercises as well as short class presentations/demos. They will be supervised by Kostiantyn Kucher.

Assignments:

Assignment 1 (Deadline: 2018-04-08, Presentation: 2018-04-09, 15:15-17:00, Room B3033V)
Assignment 2 (Deadline: 2018-04-22, Presentation: 2018-04-23, 15:15-17:00, Room B3033V)
Assignment 3 (Deadline: 2018-05-28, Presentation: 2018-05-29, 15:15-17:00, Room B3033V)