Visualization Techniques (Techniken der Visualisierung) WS'21/22
Vorlesung

News:                  

• Teaching evaluation (Online Lehrevaluation) now open, please fill it under:

  https://umfragen.tu-bs.de/evasys/online.php?pswd=WXWTC
  
  

• The selection period for talks has concluded and all papers have been now assigned.
• Each student needs to give a short scientific presentation of 14 minutes (+ 3 minutes for questions) on the assigned paper. The presentations should be in English, and can use any desired template. For your convinience, we offer the ICG slides template (but its use is not compulsory).
• For a more interesting discussion, the students should take a look at the papers that will be presented in each session (see the Agenda section).

Notes:                  

• This lecture is included in the Digital Literacy Certificate (Digital Literacy Zertifikat).

• This lecture does not use studIP! In order to ensure a smooth course development, we would like to ask you to informally register as soon as possible by sending us an e-mail to tdv@cg.cs.tu-bs.de indicating you name, surname, matriculation number, course of studies (Studiengang), pursued degree (BSc or MSc) and contact e-mail.

• The lecture will be conducted online in English (via BigBluebutton).

• Lecture started on the 27.10.2021

Description:

Photos, drawings, maps, diagrams, pictograms, cartoons, text, formulas, PowerPoint presentations...: Our sense of sight is the most important information input channel into our consciousness. Whether representational or abstract information, a suitable form of visualization enables us to grasp the meaning of information faster and more fundamentally than, for example, when we just hear the information.

The lecture will explore the background of information visualization from the perspective of computer science, psychology, neuroscience, and art. We will deal with questions like

• What is information?
• What forms of information exist?
• How does visual information enter our consciousness?
• How can information be visualized?
• What forms of visualization are there?
• What is attention?
• How is attention aroused visually?
• How is visual information stored in the brain?

The course is explicitly aimed at students of ALL disciplines and is also offered as a key qualification in the lecture pool "interdisciplinary qualification".

Additionally, the participants of this lecture will be given the opportunity to obtain a certificate for their acquisition of skills in the areas of media, information and digital transformation: the Digital Literacy Certificate (Digital Literacy Zertifikat). For more informating, please refer tohttps://www.tu-braunschweig.de/digital-literacy-zertifikat, or this document.

Place and time:

• Every Wednesday from 11:30 to 13:00
• Online: https://webconf.tu-bs.de/sus-eno-nhc-sd2
• Lecture period: 27th October 2021 - 16th February 2022
• Begin: 27.10.2021

Contents:

• History of Visualization
• Visualization from the point of view of information theory
• Aspects of visual perception psychology
• Visualization and cognition
• Techniques for the representation of information
• Interactive visualization techniques

Administrative formalities:

• Duration: 2 SWS
• Credit points: 3  (3 LPe, Studienleistung)
• Examination modality: Presentation
• In order to obtain the course credits, each participant must prepare and give a short scientific presentation of around 15 minutes in length on one of the suggested papers. Own suggestions for topics are also welcome! (please send the corresponding article in electronic form to the contact mail tdv@cg.cs.tu-bs.de). Topics will be assigned in November.

Prerequisites:

• Interest in perception and the human visual system

Topics:

• A. Treisman,"Preattentive Processing in Vision",1985 - Paper ID #01

• E. R Tufte,"Color and Information", in Envisioning Information, 1990, pp 81-95 - Paper ID #02

• E. Rogowitz et al., "How NOT to Lie with Visualization", 1996 - Paper ID #03
  

• P. Rheingans, "Task-based Color Scale Design", 1999 - Paper ID #04
  

• Ron Doerfler,  The Age of Graphical Computing, 2010 - Paper ID #05

• L. E. Matzen et al. “Data visualization saliency model”, 2017 - Paper ID #06
  
  
• L. K. Rayner et al. "So much to read, so little time: How do we read, and can speed reading help?", 2016 - Paper ID #07

• E. R. Tufte, "Micro / Macro Readings" in Envisioning Information, 1990, pp 37-52 - PaperID #08
  
• D. A.Szafir, "Modeling Color Difference for Visualization Design", 2017 - PaperID #09

• B. Schneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations", 1996 - PaperID #10

• J. H. Friedman and J. W. Tukey,"A Projection Pursuit Algorithm for Exploratory Data Analysis",1974 -PaperID #11

• E. R. Tufte, Escaping Flatland in  Envisioning Information,1990, pp 11-35 - PaperID #12
  

• A. Inselberg and B. Dimsdale, "Parallel Coordinates: A Tool for Visualizing Multi-Dimensional Geometry", 1990 - PaperID #13
  

• L. Wilkinson, Graph-Theoretic Scagnostics, 1995 - PaperID #14
  

• E. R Tufte,"Narratives of Space and Time" in Envisioning Information, 1990, pp 97-120 - PaperID #15
• Visual-Mnemonic Techniques:  Loci-Methode and Memory palace -  PaperID #16
• Cioca and Nerisanu, “Enhancing Creativity”, 2020 -PaperID #17
• M. Stone, "Choosing Colors for Data Visualization", 2006 - PaperID #18
  
  
• R. Rosenholtz, "What your visual system sees where you are not looking", 2011 - PaperID #19
• D. Holten "Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data", 2006 - PaperID #20
• D. Borland, R. Taylor Rainbow Color Map (Still) Considered Harmful, 2007 - PaperID #21
• Michael Heap, "Neurolinguistic Programming: What is the evidence?" - PaperID #22
  
  
  

Own Topics 2021/2022

• Gillmann et al., "Ten Open Challenges in Medical Visualization", 2021 - PaperID #23
• Uma et al., "Data Visualization and Prediction using Candlesticks Chart for Open Government DataSet", 2019 and do Prado al., "On the effectiveness of candlestick chart analysis for the Brazilian stock market ", 2013  - PaperID #24

Agenda:

27.10.2021

Introduction & History of Visualization

03.11.2021

Our Visual Brain I

10.11.2021

Our Visual Brain II & Visual Perception

17.11.2021

Visual Information Coding

24.11.2021

No Lecture   [Proposed Self-Study Material]

01.12.2021

Good & Bad Design in Visualization

08.12.2021

Scientific Visualization & Self-Illustrating Phenomena

15.12.2021

Presentations Session I [Papers: #17, #16 & #10]

22.12.2021

No Lecture

12.01.2021

Presentations Session II   [Papers: #20, #07, #09, #02 & #13]

19.01.2022

Presentations Session III  [Papers: #18, #22, #04, #24 & #03]

26.01.2022

Presentation Session IV  [Papers: #15, #23, #08 & #06]

02.02.2022

Presentation Session V  [Papers: #22, #21, #14 & #11]

09.02.2022

Reserve

16.02.2022

Reserve