052215 VU Visualisation and Visual Data Analysis (2016W)
Continuous assessment of course work
Labels
Registration/Deregistration
- Registration is open from Mo 19.09.2016 09:00 to Su 25.09.2016 23:59
- Deregistration possible until Su 16.10.2016 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
04.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
06.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
11.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
13.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
18.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
20.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
25.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
27.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
03.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
08.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
10.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
15.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
17.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
22.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
24.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
29.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
01.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
06.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
13.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
15.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
10.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
12.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
17.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
19.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
24.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
26.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
31.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
active participation in class and online
handing in of homework
project completion and presentation
final presentation
handing in of homework
project completion and presentation
final presentation
Minimum requirements and assessment criteria
A mandatory prerequisite for this class is the successful completion of either Foundations of Computer Graphics (05-2200) of Foundations of Data Analysis (05-2300).Course-specific goals -- students can:
* represent and interact with various data visually
* evaluate visual depictions of data and possible find improved presentations
* assist users in visual data analysis
* use different visual analysis tools, like Tableau
* use D3 to create interactive web-visualization environmentsGeneral goals -- students gain:
* insight into a new discipline and extend their scientific horizons
* an appreciation for the interplay of mathematical analysis and user-centered design
* experience working in a team
* represent and interact with various data visually
* evaluate visual depictions of data and possible find improved presentations
* assist users in visual data analysis
* use different visual analysis tools, like Tableau
* use D3 to create interactive web-visualization environmentsGeneral goals -- students gain:
* insight into a new discipline and extend their scientific horizons
* an appreciation for the interplay of mathematical analysis and user-centered design
* experience working in a team
Examination topics
applied exercises and tasks
accomplishing a team project
in-class presentations
accomplishing a team project
in-class presentations
Reading list
T. Munzner: Visualization Analysis & Design: Abstractions, Principles, and Methods, CRC Press, 2014
Association in the course directory
Last modified: Mo 07.09.2020 15:30
* Visual design principles and the visualization pipeline
* Design studies
* Data acquisition and representation
* Basic visual mapping concepts (marks + channels)
* Human visual perception + Color
* Visual mappings for tables and multi/high-dimensional data
* Visual mappings for networks, graphs and trees
* Visual mappings and algorithms for 2D+3D scalar, vector, and tensor fields
* Principles of multiple coordinated views
* Data interaction principles including Brushing+Linking, Navigation+Zoom , F$
* Principles of Evaluation of visual analysis systems
* some selected advanced topic