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052215 VU Visualisation and Visual Data Analysis (2016W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik

Continuous assessment of course work

URL http://vda.univie.ac.at/Teaching/Vis/16w/

Moodle

Details

max. 50 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

    
    Tuesday
    04.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    06.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    11.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    13.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    18.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    20.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    25.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    27.10.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    03.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    08.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    10.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    15.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    17.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    22.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    24.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    29.11.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    01.12.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    06.12.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    13.12.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    15.12.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    10.01.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    12.01.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    17.01.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    19.01.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    24.01.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Thursday
    26.01.
    13:15 - 14:45
    Hörsaal 3, Währinger Straße 29 3.OG
    
    Tuesday
    31.01.
    13:15 - 14:45
    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
* Principles of multiple coordinated views
* Data interaction principles including Brushing+Linking, Navigation+Zoom , F$
* Principles of Evaluation of visual analysis systems
* some selected advanced topic

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

A mandatory prerequisite for this class is the successful completion of either Foundations of Computer Graphics (05-2200) of Foundations of Data Analysis (05-2300).

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
* use D3 to create interactive web-visualization environments

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: Fr 31.08.2018 08:48