Winter Semester 2013/2014
Visualization and Data Analysis
Lecture, 75564
- Instructor: Tino Weinkauf, weininf.mpg.de
- Instructor: Janick Martinez Esturo
- Semester: Winter 2013/2014
- Lectures and Tutorials:
- Mondays
- 12:30 - 14:00: Tutorial
- 14:10 - 15:40: Lecture
- Location: E1.4 Room 022 (MPII-Building)
- Mondays
- Credit Points: 6
- Office hours: Appointments can be coordinated via e-mail
- Class materials: Available for download. We tell you the username and password in the lecture. The lecture slides are available immediately after the lecture.
Announcements
- The second oral exam is scheduled for April 8, 2014 (Tuesday).
- During the exam, each student will be questioned individually for at least 22 minutes.
- The exam will take place in the MPII building, Campus E1.4, Room 209a
- Please be there on time. We are on a very tight schedule.
Start time of the exam | Student |
---|---|
10:00 | Bertel, Tobias |
10:30 | Bhamborae, Mayur J |
11:00 | Flotho, Philipp |
11:30 | Heidarian, Hamid Reza |
12:00 | |
12:30 | Hulea, Razvan |
13:00 | Kardoost, Amirhossein |
13:30 | Korkmaz, Semih |
14:00 | Tanuadji, Maureen |
14:30 | Sinha, Saptarshi Neil |
- The first oral exam is scheduled for February 18, 2014 (Tuesday).
- During the exam, each student will be questioned individually for at least 22 minutes.
- The exam will take place in the MPII building, Campus E1.4, Room 210
- Please be there on time. We are on a very tight schedule.
Start time of the exam | Student |
---|---|
10:00 | Arabadzhiyska, Elena |
10:30 | Bogachev, Sviat |
11:00 | Chakrabarti, Kaustuv |
11:30 | Feit, Anna |
12:00 | Insafutdinov, Eldar |
12:30 | Mehta, Dushyant |
13:00 | Mercado, Pedro |
13:30 | Prudat, Tanguy |
14:00 | Sinha, Saptarshi Neil |
14:30 | Vedzeneyeu, Nikita |
15:00 | Ziesche, Florian |
15:30 | Saikia, Himangshu |
16:00 | Palmas, Gregorio |
16:30 | Wang, Zhongjie |
17:00 | Levinkov, Evgeny |
The oral exams will be on February 18 and April 8.
Our christmas lecture on Dec 16 will be in Room 019.
The first assignment is available (see the download link above). Note that you find the simple GeoX-Experiment from the class there as well.
The first lecture will be on Monday, October 21.
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
- Tree/Graph visualization
- Multidimensional visualization
- Volume Visualization
- Flow Visualization
- Feature Analysis
- Topology
- Tensor Visualization
Schedule
Schedule for the lectures and tutorials.
Date (Mondays) | Tutorial | Lecture | Assignments out |
---|---|---|---|
Oct 21, 2013 | Lecture #1 | ||
Oct 28, 2013 | Tutorial #0 | Lecture #2 | Assignment #1: practice |
Nov 4, 2013 | Interviews #1 | Lecture #3 | Assignment #2: theory |
Nov 11, 2013 | Tutorial #2 | Lecture #4 | Assignment #3: practice |
Nov 18, 2013 | Interviews #3 | Lecture #5 | Assignment #4: theory |
Nov 25, 2013 | Tutorial #4 | Lecture #6 | Assignment #5: practice |
Dec 2, 2013 | Interviews #5 | Lecture #7 | Assignment #6: theory |
Dec 9, 2013 | Tutorial #6 | Lecture #8 | Assignment #7: practice |
Dec 16, 2013 | Interviews #7 | Lecture #9 | |
Dec 23, 2013 | Happy Holidays | ||
Dec 30, 2013 | |||
Jan 6, 2013 | Lecture #10 | Assignment #8: theory | |
Jan 13, 2013 | Tutorial #8 | Lecture #11 | Assignment #9: practice |
Jan 20, 2013 | Interviews #9 | Lecture #12 | Assignment #10: theory |
Jan 27, 2013 | Tutorial #10 | Lecture #13 | |
Feb 3, 2013 | Lecture #14 |
Software
GeoX is our programing framework for the practical tutorials. The software is open source (GPL2).
Expected Work
The course is suitable for MS students. Familiarity with basic computer graphics (or motivation to learn this fast) is desirable. Assessment is based on weekly assignments and an oral exam at the end of the semester.
Assignments
To be admitted to the exam, you need to have
- Turned in 100% of all homework assignments. Yes, you need to work on all assignments.
- Received at least 50% of all homework points.
Oral Exam
- 30 min on one of these dates:
- February 18
- April 8
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 1990-2013
- Proceedings of EuroVis/VisSym 1999-2013