052215 VU Visualisation and Visual Data Analysis (2019W)
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 07.09.2019 09:00 to Mo 23.09.2019 09:00
- Deregistration possible until Mo 14.10.2019 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 01.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 03.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 08.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 10.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 15.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 17.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 22.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 24.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 29.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 31.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 05.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 07.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 12.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 14.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 19.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 21.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 26.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 28.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 03.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 05.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 10.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 12.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 17.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 07.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 09.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 14.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 16.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 21.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 23.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Tuesday 28.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
- Thursday 30.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
handing in of homework, 5x assignments, 55%
4 tests, 40%
participation 5%
4 tests, 40%
participation 5%
Minimum requirements and assessment criteria
A mandatory prerequisite for this class is the successful completion of either Foundations of Computer Graphics (05-2200) or 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 50.0%In order to pass the course successfully, you will need to reach a minimum of "grade 4" on each individual assignment as well as a minimum of 50% on the tests combined.
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%In order to pass the course successfully, you will need to reach a minimum of "grade 4" on each individual assignment as well as a minimum of 50% on the tests combined.
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 15:20
* 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