053622 VU Visual and Exploratory Data Analysis (2024S)
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 12.02.2024 09:00 to Th 22.02.2024 09:00
- Deregistration possible until Th 14.03.2024 23:59
Details
max. 25 participants
Language: English
Lecturers
- Torsten Möller
- Manfred Klaffenböck
- Christian Knoll
- Sebastian Ratzenböck
- Florian Windhager
- Asil Çetin-Aufricht
Classes (iCal) - next class is marked with N
Friday
08.03.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Friday
15.03.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
19.03.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Friday
22.03.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
09.04.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Tuesday
16.04.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Friday
19.04.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
23.04.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Monday
29.04.
13:15 - 16:30
Seminarraum 4, Währinger Straße 29 1.UG
Tuesday
30.04.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
N
Friday
03.05.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
07.05.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Tuesday
14.05.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Friday
17.05.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
21.05.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Friday
24.05.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
28.05.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Friday
31.05.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
04.06.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Friday
07.06.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
11.06.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Tuesday
18.06.
11:30 - 13:00
Seminarraum 7, Währinger Straße 29 1.OG
Friday
21.06.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
25.06.
11:30 - 14:45
Seminarraum 5, Währinger Straße 29 1.UG
Friday
28.06.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
handing in homework, 5x assignments
presentation
participation
test
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.
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
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
Modul: VED
Last modified: We 03.04.2024 07:45
* 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 TableauGeneral 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