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Information Visualization (4DV800)

Professor

Prof. Dr. Andreas Kerren

Time & Place

Compare here! In general, the lectures will take place in room B3033 in Building B.

Teaching Period

III (2017-01-16 till 2017-03-17)

Assessment

Assignments AND oral examinations. Oral examinations will take place in room B3037 in week 11.

Prerequisites

90 credits in Computer Science including a course in Programming and Data Structures (1DV007) or equivalent.

Credits

7.5 ECTS

Topic

Basics in Information Visualization

Information Visualization (InfoVis) covers the development of tools for better understanding and analyses of abstract information using the human visual system. Abstract information can normally not be transferred into the physical world. This course gives you an overview of the most important techniques of this research area as well as applications. Covered topics are among others: interaction techniques, visulization techniques (e.g., level of detail, navigation, focus and context, focussing, 2D/2.5D/3D, ...), or visualization of hierarchical data.

The course Applied Information Visualization extends this course with visualization techniques and systems for special data sets.

Schedule

Preliminary Schedule:

#	Date	Topic	Slides
1	2017 01 17	Introduction and Motivation
2	2017 01 24	Perception Theory I
3	2017 01 31	Perception Theory II	↑
4	2017 02 07	Basics in Information Visualization
5	2017 02 14	Interaction I (Dynamic Queries)
6	2017 02 16	Interaction II (Zoom&Pan, Overview&Detail)	↑
7	2017 02 21	Interaction III (Focus&Context)	↑
8	2017 03 02	1D, 2D, 3D, and Multidimensional Data
9	2017 03 07	Hierarchies

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)
XmdvTool (Qt)
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)

Interesting URLs:

Assignments

Assignments consist of theoretical and practical exercises. They will be supervised by Kostiantyn Kucher.

Assignments:

Assignment 1 (Deadline: 2017-01-29, Presentation: 2017-01-30, 15:00-16:30, Room B3033V)
Assignment 2 (Deadline: 2017-02-12, Presentation: 2017-02-13, 15:00-16:30, Room B3033V)
Assignment 3 (Deadline: 2017-02-26, Presentation: 2017-02-27, 15:00-17:00, Room B2034V)
Assignment 4 (Deadline: 2017-03-13, Presentation: 2017-03-14, 15:00-17:00, Room B3033V)

Open Theses

We permanently offer interesting topics for Bachelor's and Master's Theses that are related to Information Visualization and Software Visualization.