Universität Wien
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050065 VU Visualization (2016S)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work

URL http://vda.univie.ac.at/Teaching/Vis/16s
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. 50 participants
Language: German, English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 01.03. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 03.03. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 08.03. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 10.03. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 15.03. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 17.03. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 05.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 07.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 12.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 14.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 19.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 21.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 26.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 28.04. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 03.05. 08:00 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 10.05. 08:00 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 12.05. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 19.05. 09:45 - 11:15 Seminarraum 8, Währinger Straße 29 1.OG
  • Tuesday 24.05. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 31.05. 08:30 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 02.06. 08:30 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 07.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 09.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 14.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 16.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 21.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 23.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 28.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 30.06. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.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 for various data, understand perceptual and cognitive aspects of visual representations and learn how to evaluate visualization systems.

Topics covered will include:
* Introduction and historical remarks
* Visual design principles and the visualization pipeline
* Design studies
* Data acquisition and representation
* Basic visual mapping concepts
* Human visual perception + Color
* Visual mappings and algorithms for 2D+3D scalar, vector, and tensor fields
* Visual mappings for graphs and trees and high-dimensional data
* Data interaction principles: Focus+Context; Navigation+Zoom
* Design principles for Space+Time as well as Depth/Occlusion
* Evaluation

Assessment and permitted materials

active participation in class and online
handing in of homework
project completion and presentation
final presentation

Minimum requirements and assessment criteria

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
* use C++ to render 3D data

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
* experience working in a team

Examination topics

applied exercises and tasks
accomplishing a team project
in-class presentations

Reading list

T. Munzner: Visualization Analysis & Design: Abstractions, Principles, and Methods, CRC Press, 2014

Association in the course directory

Last modified: Mo 07.09.2020 15:29