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052215 VU Visualisation and Visual Data Analysis (2020W)
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 Mo 14.09.2020 09:00 to Mo 21.09.2020 09:00
- Deregistration possible until We 14.10.2020 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The lectures of this course will be held online via Collaborate on Moodle: https://moodle.univie.ac.at/mod/lti/view.php?id=5823944
Thursday
01.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
06.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
08.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
13.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
15.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
20.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
22.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
27.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
29.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
03.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
05.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
10.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
12.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
17.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
19.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
24.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
26.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
01.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
03.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
10.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
15.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
17.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
07.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
12.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
14.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
19.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
21.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
26.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
28.01.
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, 6x assignments, 56%
2 tests, 40%
participation 4%
2 tests, 40%
participation 4%
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 50% on all assignments combined 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 50% on all assignments combined as well as a minimum of 50% on the tests combined.
Examination topics
applied exercises and tasks
readings
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: Th 08.09.2022 00:15
* 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