Informationen für
Logo VIS

« Zurück

Introduction to Visualization in Science and Engineering (SQ)
Typ: Vorlesung für externen Studiengang
Semester: WS 2011/2012
Umfang: 2V+2Ü
Studiengang:
Dozent: Dr. Filip Sadlo
Beschreibung:

Important Notes

The exercises take place on Thursdays, 9:45-11:15.


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.

 

Course Material

Lecture slides:

18.10.11

organization (1 per page)

introduction (1 per page)

organization (2 per page)

introduction (2 per page)

organization (6 per page)

introduction (6 per page)

3.11.11

visualization process
(1 per page)

visualization process
(2 per page)

visualization process
(6 per page)

17.11.11 perception (1 per page) perception (2 per page) perception (6 per page)
24.11.11

visual_mapping
(1 per page)

visual_mapping
(2 per page)

visual_mapping
(6 per page)
8.12.11 scalar_fields (1 per page) scalar_fields (2 per page) scalar_fields (6 per page)
12.01.12 vector fields (1 per page) vector fields (2 per page) vector fields (6 per page)
19.01.12 tensor fields (1 per page) tensor fields (2 per page) tensor fields (6 per page)
19.01.12 info vis (1 per page) info vis (2 per page) info vis (6 per page)
2.02.12 software (1 per page) software (2 per page) software (6 per page)

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.

 

Tutorial

Tutorial slides

24.10.11

01_gnuplot_tutorial
(1 per page)

01_gnuplot_tutorial
(2 per page)

01_gnuplot_tutorial
(6 per page)

7.11.11 Tutorial, Crash Course
7.11.11 introduction (1 per page) introduction (2 per page) introduction (6 per page)
17.11.11

data_representation
(1 per page)

data_representation
(2 per page)

data_representation
(6 per page)

8.12.11 interpolation (1 per page) interpolation (2 per page) interpolation (6 per page)
19.01.12 scalar_fields (1 per page) scalar_fields (2 per page) scalar_fields (6 per page)
2.02.12 vector_fields (1 per page) vector_fields (2 per page) vector_fields (6 per page)
9.02.12 tensor_fields (1 per page) tensor_fields (2 per page) tensor_fields (6 per page)

Assignments

Date Assignment Data Deadline
24.10.11 01_gnuplot

Data1.1, Data1.2

31.10.11
7.11.11 02_covise_intro

COVISE download, exercise1_basic.net,
grid.covise, pressure.covise, velocity.covise


17.11.11

03_vortical_flow

the same as above 1.12.11
24.11.11 04_n-s_eqs fieldMatVecMult, Calc module description 8.12.11
1.12.11 05_cov_mod FieldStatistics, covise_init, covise_paths, COVISE_module 22.12.11
8.12.11 06_interpolation
15.12.11
12.01.12 07_strain data.zip 23.1.12
19.01.12 08_flowTopo flowTopo_src, flowTopo_bin, FlowTopo.pdf, p-q_Chart,
flowtopo_win7_zackelopt.zip
2.2.12
2.02.12 exam_examples

 

Audience

Students of other faculties (Grundstudium), Students of other faculties (Hauptstudium)

Exportveranstaltung for: Schlüsselqualifikation and COMMAS

Bilder:
Volume rendering of medical CT-data.
Bild 1: Volume rendering of medical CT-data.
Delocalized vortex criteria for flow visualization inside a cooling jacket of an engine.
Bild 2: Delocalized vortex criteria for flow visualization inside a cooling jacket of an engine.
Internet-Seite:
Termine: Donnerstag, 17:30 - 19:00 Uhr in V38.02
Übungen: Donnerstag, 9:45 - 11:15 Uhr in 0.452
Tutor: Dr. rer. nat. Sebastian Grottel
Grzegorz K. Karch M.Sc.
Dipl.-Inf. Dr. Sven Bachthaler

« Zurück