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Introduction of Information Visualization
and Visual Analytics
Computer Graphics & HCI Group
University of Kaiserslautern
Summer Semester 2015
Teaching Staff
!  Prof. Dr. Hans Hagen
!  Office: 36-226
!  Phone: 0631 205-4071
!  Office hours: on appointment
!  hagen @ informatik.uni-kl.de
!  http://www-hagen.informatik.uni-kl.de/~hagen/
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Teaching Staff
!  Dr. Shah Rukh Humayoun
!  Office: 36-230
!  Phone: 0631 205-2808
!  Office hours: on appointment
!  humayoun @ cs.uni-kl.de
!  http://cg.cs.uni-kl.de/~humayoun/
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Teacher Assistants
!  M.Sc. Ragaad AlTarawneh
!  Office: 36-230
!  Phone: 0631 205-2808
!  Office hours: on appointment
!  tarawneh @ cs.uni-kl.de
!  Dipl. Wirtschaftsingenieur
!  Office: 36-220
!  Phone: 0631 205-
Jens Bauer
!  Office hours: on appointment
!  J_bauer @ cs.uni-kl.de
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Lecture
!  Lecture
!  Monday, 8:15 am – 9:45 am
!  Building 48, lecture hall 462
!  Master Course
!  Number of hours per week:
!  Number of ECTS Credits:
!  Language of instruction:
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2V + 1Ü
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English
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Website
!  Web:
!  http://hci.uni-kl.de/~humayoun/infovis-ss15/
!  Script: Online (before each lecture)
!  Most current information (lecture, exercises, news)
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KIS Registration
!  KIS
!  Please register at KIS for the class!
!  https://www.kis.uni-kl.de
!  INF-11-57-V-6
!  How-to
!  Login at KIS as student via KIS-Office
!  Register for the Introduction to Information
Visualization and Visual Analytics class
(INF-11-57-V-6):
!  add all dates in your KIS calendar
!  Deadline: May 08, 2015 (23:59:59)
!  Firm deadline!
!  Registration is mandatory for the exam
!  Send your name, student id, and email address to
<humayoun@cs.uni-kl.de>
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Exercises
!  Only on announcement!
!  Times Thursday 17:00 – 18:30
!  Place: Building 36, Room 232
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Final Grade
!  Final grade will be based on two things:
1.  Research Seminar
! 
! 
Seminar report (4-5 pages)
Seminar talk 15 minutes long
2.  Oral exam (15-20 minutes)
! 
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After the seminar talk
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Seminar Paper
!  Each student will receive one paper
!  Papers will be emailed in the end of May and will be
handed out in the printed form during the first
lecture of June
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Seminar Report
!  Seminar Report:
!  About 4 to 5 pages (including images)
!  Detailed explanation of the problem, the method, and
results
!  Discussion of the paper and your own opinion about
it
!  To be email before July 16
!  Template will be provided
!  You can also choose your own template!
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Seminar Talk
!  10-15 minutes talk
!  5 minutes Qs & As
!  High-level explanation of the problem, the method,
and results
!  Focus on your personal conclusions
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Important Dates
!  Papers handed out:
May 26 to June 01
!  Seminar Report Submission:
till July 16
!  Seminar Talks:
July 27 – 31
April 20
•  Lecture # 1
April 27
•  Lecture # 2
May 04
•  Lecture # 3
May 11
•  Lecture # 4
May 18
•  No Lecture
May 21
•  Exercise # 1
May 25
•  Holiday
(No Lecture)
June 01
•  Lecture # 5
•  Papers handed
out
June 08
•  Lecture # 6
June 11
•  Exercise # 2
June 15
•  Lecture # 7
June 22
•  Lecture 8
June 25
•  Exercise # 3
June 29
•  Lecture # 09
July 06
•  Lecture # 10
July 13
•  Lecture # 11
July 16
•  Exercise # 4
•  Seminar Reports
July 20
Lecture # 12
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Information Visualization: Need
!  Data collection is no longer a problem
!  However, extracting value from data stores into
useful information has become increasingly difficult
!  Visualization links the human eye and computer,
helping people to identify patterns and to extract
insights from large amounts of data or information
!  Visualization techniques show promise for
increasing the value in the large-scale collection of
data and the generation of information and hence
knowledge!
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Table of Contents
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!  1:
Visual Representations: Perception and Cognitive Issues
!  2:
Introduction and Motivation
!  3:
Challenges to Information Visualization
!  4:
Data Mining
!  5:
Data Clustering
!  6:
Data Types
!  7:
Graphs and Trees
!  8:
Evaluation
!  9:
Applications
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Books (without priority)
!  C. Ware. Information Visualization:
Perception for Design. 2nd Edition,
Morgan Kaufman, San Francisco,
ISBN 1-55860-819-2, 2004.
!  C. Ware. Visual Thinking: For
Design. Morgan Kaufman, San
Francisco, ISBN 978-0123708960,
2008.
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Books (without priority)
!  R. Spence. Information
Visualization. ACM Press/Addison
Wesley, New York, ISBN
0-201-59626-1, 2001.
C. Chen. Information Visualization.
Springer, London, Berlin,
Heidelberg, 2nd Edition, ISBN
1-85233-789-3, 2004.
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Books (without priority)
!  S. K. Card, J. Mackinlay, and B.
Shneiderman. Readings in
Information Visualization: Using
Vision to Think. Academic Press,
ISBN 1-55860-533-9, 1999.
!  A. Kerren, A. Ebert, and J. Meyer.
Human-Centered Visualization
Environments. Springer LNCS
Tutorial, 2007.
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Books (without priority)
!  M. Ward, G. Grinstein, D. Keim.
Interactive Data Visualization. A K
Peters, Ltd., ISBN
978-1-56881-73-5, 2010.
!  I. H. Witten, E. Frank. Data Mining.
Third Edition. Morgan Kaufmann –
Elsevier, ISBN 978-0-12-374856-0,
2011.
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Books (without priority)
!  J. Maeda: The Laws of Simplicity.
MIT Press 2006, ISBN
978-0262134729
!  A. Dix, J. Finlay, G. Abowd, R.
Beale: Human-Computer
Interaction. Prentice Hall 3rd
Edition 2004, ISBN
978-0130461094
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Other Resources
!  Information Visualization for UbiComp Data
!  4th Open Ubiquitous City Seminar
!  Prof. Dr. Aaron J. Quigley
University of St. Andrews, UK
!  http://www.cs.st-andrews.ac.uk/~aquigley/
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Further Reading
!  Conference Proceedings
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! 
IEEE Conference on Information Visualization
(InfoVis)
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IEEE Conference on Visual Analytics Science and
Technology (VAST)
! 
Eurographics/IEEE Symposium on Visualization
(EuroVis)
! 
! 
IEEE Pacific Visualization Symposium (PacificVis)
…
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Further Reading
!  Conference Proceedings
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IEEE Working Conference on Software Visualization
(VISSOFT 2015)
! 
IEEE Symposium on Biological Data Visualization
(BioVis)
! 
IEEE Symposium on Large-Scale Data Analysis and
Visualization (LDAV)
! 
! 
Visualization for Cyber Security (VizSec)
…
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Further Reading
!  Journals
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IEEE Transactions on Visualization and Computer
Graphics
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Information Visualization Journal, Sage Publications
(formerly: Palgrave)
! 
…
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