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Visualization in Science and Engineering
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Overview
WS 2009/10
2V+2Ü (Lecture + Tutorial)
Intended Audience: COMMAS students (elective course), other non-computer science students that are interested in visualization
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Dates: |
Di |
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17:30 |
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19:00 |
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in
V38.02 |
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Lecture |
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Mo |
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9:45 |
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11:15 |
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in
V38.02/VIS-Pool |
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Tutorial |
Important Notes
- The lecture will start on Tuesday,
20. October.
Course Contents
Goals
Students will obtain a general overview of, and some basic knowledge about,
visualization techniques, algorithms, and data structures as well as visual
literacy and acquaintance with practical applications of visualization in
science and engineering. Students will become proficient with practical aspects
in a hands-on fashion by using existing visualization tools and applying them
to example data from typical science and engineering disciplines (e.g.
computational fluid dynamics, scanning devices, etc.).
Summary
Visualization deals with all aspects that are connected with the visual
representation of data sets from scientific experiments, simulations, medical
scanners, and the like in order to achieve a deeper understanding or a simpler
representation of complex phenomena. To achieve this goal, both well-known
techniques from the field of interactive computer graphics and completely new
methods are applied. This course covers basic knowledge and practical
applications of visualization by discussing the following topics:
- Course introduction, historical remarks
- Introductory visualization examples
- Visualization pipeline
- Basics of visual design and visual literacy
- Aspects of human visual perception (color perception, Gestalt
principles)
- Data acquisition and representation (sampling and reconstruction;
grids and data structures)
- Basic mapping concepts
- Visualization of scalar fields (isosurface extraction, volume
rendering) and vector fields (particle tracing)
- Information visualization and statistical graphics
Throughout the course, visualization methods are applied to practical
examples from science and engineering, such as volumetric visualization of 3D
data, flow data from computational fluid dynamics, scanner data, etc.
Literature
Recommended books:
- C.D. Hansen, C.R. Johnson (eds.): The Visualization Handbook,
Elsevier, 2005.
- C. Ware: Information Visualization, Morgan Kaufmann, 2nd edition,
2004.
- H. Schumann, W. Müller: Visualisierung. Grundlagen und allgemeine
Methoden, Springer, 1999.
- J. Böhringer, P. Bühler, P. Schlaich: Kompendium der
Mediengestaltung für Digital- und Printmedien, Springer,
2006.
Course Material
Updates and extensions of the course slides will be provided during the
course of the lectures.
Tutorial
Important Notes
- Assignment 3 will be due next Friday, 27.11.2009.
- There's no change in the schedule, the tutorial will
continue to be held Mondays, 9:45 am.
- Get the access card and the login for the VIS-pool at the secretariat (room 1.453) before Monday, 2. November. For this, you need a form signed by Filip Sadlo (TTI building).
- New homework schedule: new assignments on Thursday, support on next Monday, due next Friday, discussion next Monday.
Material
Updates and extensions of the tutorial slides will be provided during the
course.
Assignments
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