052215 VU Visualisation and Visual Data Analysis (2017W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Sa 09.09.2017 09:00 to Su 24.09.2017 23:59
- Deregistration possible until Su 15.10.2017 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 03.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 05.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 10.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 12.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 17.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 19.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 24.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 31.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 07.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 09.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 14.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 16.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 21.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 23.11. 11:30 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 28.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 30.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 05.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 07.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 12.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 14.12. 11:30 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 09.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 11.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 16.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 18.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 23.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 25.01. 11:30 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 30.01. 08:00 - 13:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 30.01. 11:30 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 30.01. 15:00 - 16:30 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, 15%
handing in of homework, 3xassignments, 40%
project completion and presentation, (3xmilestones), 45%
handing in of homework, 3xassignments, 40%
project completion and presentation, (3xmilestones), 45%
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).The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 40.0%In order to pass the course successfully, you will need to reach a minimum of 20% (of the total grade) from the individual assignments as well as a minimum of 25% (of the total grade) from the course project.
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 40.0%In order to pass the course successfully, you will need to reach a minimum of 20% (of the total grade) from the individual assignments as well as a minimum of 25% (of the total grade) from the course project.
Examination topics
applied exercises and tasks
accomplishing a team project
in-class presentations
readings
accomplishing a team project
in-class presentations
readings
Reading list
T. Munzner: Visualization Analysis & Design: Abstractions, Principles, and Methods, CRC Press, 2014various papers as presented on the course page
Association in the course directory
Module: VIS VMI
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 , Focus+context
* Principles of Evaluation of visual analysis systems
* some selected advanced topicCourse-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