136013 UE Visualization of humanities data (2021S)
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 01.02.2021 09:00 to Th 25.02.2021 23:59
- Deregistration possible until We 31.03.2021 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
This course will be online via zoom on the moodle platform: https://moodle.univie.ac.at/course/view.php?id=209233
The first meeting (Vorbesprechung) on Tue, March 1st, at 4:45pm, will happen via zoom at https://univienna.zoom.us/j/95877235029?pwd=YncwWVVSY0cybTRTZWhCVDdqcG5QUT09
Passcode: VIS21s
Monday
01.03.
16:45 - 18:15
Hybride Lehre
Monday
08.03.
16:45 - 18:15
Hybride Lehre
Thursday
11.03.
16:45 - 18:15
Hybride Lehre
Monday
15.03.
16:45 - 18:15
Hybride Lehre
Thursday
18.03.
16:45 - 18:15
Hybride Lehre
Monday
22.03.
16:45 - 18:15
Hybride Lehre
Monday
12.04.
16:45 - 18:15
Hybride Lehre
Monday
19.04.
16:45 - 18:15
Hybride Lehre
Thursday
22.04.
13:15 - 14:45
Hybride Lehre
Monday
26.04.
16:45 - 18:15
Hybride Lehre
Monday
03.05.
16:45 - 18:15
Hybride Lehre
Monday
10.05.
16:45 - 18:15
Hybride Lehre
Monday
17.05.
16:45 - 18:15
Hybride Lehre
Monday
31.05.
16:45 - 18:15
Hybride Lehre
Monday
07.06.
16:45 - 18:15
Hybride Lehre
Monday
14.06.
16:45 - 18:15
Hybride Lehre
Monday
21.06.
16:45 - 18:15
Hybride Lehre
Monday
28.06.
16:45 - 18:15
Hybride Lehre
Information
Aims, contents and method of the course
Assessment and permitted materials
handing in of homework, 5x assignments
participation
test
participation
test
Minimum requirements and assessment criteria
There is no formal prerequisite. However, there are programming assignments in javascript/D3 that you will be graded on, so we expect programming skills.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, 25% of the points on the last assignment, as well as a minimum of 40% on the test.
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, 25% of the points on the last assignment, as well as a minimum of 40% on the test.
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
DH-S II
Last modified: Fr 12.05.2023 00:16
* 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
* Visual mappings for text data
* 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