weinkauf/teaching/visualization12ws

Winter Semester 2012/2013

• Saarland University
  Visualization and Data Analysis
  Lecture, 67224

• Instructor: Tino Weinkauf, weininf.mpg.de
• Instructor: Jens Krüger
• Semester: Winter 2012/2013
• Lectures:
  • Mondays 10:00 - 11:30
  • Wednesdays 12:15 - 13:45
  • Location: MMCI Building (E1 7), Room 0.08
• Credit Points: 6
• Office hours: Appointments can be coordinated via e-mail
• Class materials: Available for download from Tino Weinkauf and Jens Krüger. We tell you the username and password in the lecture. The lecture slides are available immediately after the lecture.

Announcements

The oral exam is scheduled for February 22, 2013 (Friday).

• In preparation for the exam, you can ask questions about the content of the class in our last session on February 6 (Wednesday).
• During the exam, each student will be questioned individually for 22 minutes.
• The exam will take place in the office of Jens Krüger, Campus D3.2, Room 2.32, see also this video http://www.youtube.com/watch?v=HTu9nKtGj5o
• Please be there on time. We are on a very tight schedule.

Jan 28: The class is cancelled for Monday, Jan 28. We will proceed on Wednesday, Jan 30.

Jan 7: First class in 2013.

Dec 17: Last class in 2012. We will talk about flow visualization, watch a movie about it, and eat cookies.

Nov 5: The class is cancelled for Monday, Nov 5. We will proceed on Wednesday, Nov 7.

Oct 22: All students are required to register for the oral exam in the HISPOS system. Exam registration is possible until November 4th, 2012. A withdrawl is possible until two weeks before the exam. In case of problems wih the exam registration, the students can contact: studium@cs.uni-saarland.de

Oct 22: Please send me an email to add you to an email list for announcements.

Oct 22: Lectures will be in room 0.08 of the MMCI building. Lecture times updated.

Oct 22: The lecture will start on Monday, October 22nd.

This page will be updated during the semester.

Overview

The focus of this introductory course is on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Starting with a brief introduction on the data generation processes the visualization pipeline, data structures, mapping techniques and special rendering techniques for scientific data will be discussed. Various examples will be given to outline the benefits of visualization techniques in practical applications.

See some visualizations for yourself (these videos have been created with Amira by me and my colleagues at Zuse Institute Berlin):

Course topics:

• Data Acquisition
• Data Representation & Interpolation
• Filtering techniques
• Basic mapping techniques
• Volume Visualization
• Flow Visualization
• Feature Analysis
• Topology
• Tensor Visualization
• Information Visualization

Expected Work

The course is suitable for MS students. Familiarity with basic computer graphics (or motivation to learn this fast) is desirable. Assessment will be based on an oral exam at the end of the semester.

Oral Exam

• 30 min
• February 22, 2013 (Friday)

Literature

• Alexandru Telea, Data Visualization: Principles and Practice, A K Peters Ltd, 2007, ISBN 978-1568813066, 502 pages
• Schumann, Müller: Visualisierung - Grundlagen und allgemeine Methoden, Springer Verlag
• Nielson, Hagen, Müller: Scientific Visualization , IEEE Computer Society Press
• Charles Hansen and Chris R. Johnson (eds.), The Visualization Handbook, Academic Press, 2004, ISBN: 978-0123875822, 984 pages
• Brodlie: Scientific Visualization - Techniques and Applications, Springer Verlag
• Engel, Hadwiger, Kniss, Rezk-Salama, Weiskopf: Real-Time Volume Graphics
• Gallagher: Computer Visualization: Graphics Techniques for Scientific and Engineering Analysis, CRC Press
• Earnshaw, Wiseman: An Introductory Guide to Scientific Visualization, Springer Verlag
• Proceedings of IEEE Visualization Conferences 1990-2012
• Proceedings of EuroVis/VisSym 1999-2012