Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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/ §0 Overview (InfoVis – SS2015) 1 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/ §0 Overview (InfoVis – SS2015) 2 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 §0 Overview (InfoVis – SS2015) 3 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: §0 Overview (InfoVis – SS2015) 2V + 1Ü 4 English 4 Website ! Web: ! http://hci.uni-kl.de/~humayoun/infovis-ss15/ ! Script: Online (before each lecture) ! Most current information (lecture, exercises, news) §0 Overview (InfoVis – SS2015) 5 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 <[email protected]> §0 Overview (InfoVis – SS2015) 6 Exercises ! Only on announcement! ! Times Thursday 17:00 – 18:30 ! Place: Building 36, Room 232 §0 Overview (InfoVis – SS2015) 7 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) ! §0 Overview (InfoVis – SS2015) After the seminar talk 8 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 §0 Overview (InfoVis – SS2015) 9 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! §0 Overview (InfoVis – SS2015) 10 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 §0 Overview (InfoVis – SS2015) 11 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 §0 Overview (InfoVis – SS2015) 12 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! §0 Overview (InfoVis – SS2015) 13 Table of Contents §0 Overview (InfoVis – SS2015) ! 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 14 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. §0 Overview (InfoVis – SS2015) 15 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. §0 Overview (InfoVis – SS2015) 16 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. §0 Overview (InfoVis – SS2015) 17 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. §0 Overview (InfoVis – SS2015) 18 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 §0 Overview (InfoVis – SS2015) 19 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/ §0 Overview (InfoVis – SS2015) 20 Further Reading ! Conference Proceedings §0 Overview (InfoVis – SS2015) ! IEEE Conference on Information Visualization (InfoVis) ! IEEE Conference on Visual Analytics Science and Technology (VAST) ! Eurographics/IEEE Symposium on Visualization (EuroVis) ! ! IEEE Pacific Visualization Symposium (PacificVis) … 21 Further Reading ! Conference Proceedings §0 Overview (InfoVis – SS2015) ! 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) … 22 Further Reading ! Journals §0 Overview (InfoVis – SS2015) ! IEEE Transactions on Visualization and Computer Graphics ! Information Visualization Journal, Sage Publications (formerly: Palgrave) ! … 23