Universität Wien

136013 UE Visualization of humanities data (2024S)

5.00 ECTS (2.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft
Continuous assessment of course work

URL https://teaching.vda.univie.ac.at/vis
Moodle

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).

Details

max. 25 participants
Language: English

Lecturers

Classes

Freitag 08.03. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Freitag 15.03. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 19.03. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 22.03. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 09.04. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Dienstag 16.04. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 19.04. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 23.04. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Dienstag 30.04. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 03.05. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 07.05. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Dienstag 14.05. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 17.05. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 21.05. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 24.05. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 28.05. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 31.05. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 04.06. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 07.06. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 11.06. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Dienstag 18.06. 11:30 - 13:00 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 21.06. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG
Dienstag 25.06. 11:30 - 14:45 Seminarraum 5, Währinger Straße 29 1.UG
Freitag 28.06. 11:30 - 13:00 Hörsaal 3, Währinger Straße 29 3.OG

Information

Aims, contents and method of the course

Computer-based visualization systems provide visual representations of datasets intended to help people carry out some task more effectively. These datasets can come from very diverse sources, such as scientific experiments, simulations, medical scanners, commercial databases, financial transactions, health records, social networks and the like. In this course we deal with effective visual mappings as well as interaction principles for various data, understand perceptual and cognitive aspects of visual representations and learn how to evaluate visualization systems.

Topics covered will include (but are not limited to):

* Introduction and historical remarks
* 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 topic

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

General 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

Assessment and permitted materials

handing in of homework, 5x assignments
presentation
participation
test

Minimum requirements and assessment criteria

There is no formal prerequisite.

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. Additionally, the presentation of your last assignment is a mandatory requirement for the
successful completion of the course.

Examination topics

applied exercises and tasks
readings

Reading list

Association in the course directory

DH-S II
S-DH Cluster III

Last modified: We 03.07.2024 15:05