Multidimensional Data Visualisation: Rozdiel medzi revíziami
(New page: {{Course | name = Multidimensional Data Visualisation | code = 2-AIN-265 | prerequisites = none | semester = Winter | year = 1-2 | credits = 3 | form = L - laboratory exercis...) |
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| Riadok 6: | Riadok 6: | ||
| year = 1-2 | | year = 1-2 | ||
| credits = 3 | | credits = 3 | ||
| − | | form = L - | + | | form = L - lecture (2) |
| evaluation = 100/0 | | evaluation = 100/0 | ||
| webpage = not available | | webpage = not available | ||
Verzia zo dňa a času 16:39, 19. august 2008
Multidimensional Data Visualisation 2-AIN-265
| Course name and code: | Multidimensional Data Visualisation (2-AIN-265) |
| Prerequisite courses: | none |
| Available in/recommended study year: | Winter semester / 1-2 |
| Form and # of hours/week: | L - lecture (2) |
| Credits: | 3 |
| Evaluation (semester/exam): | 100/0 |
| Course webpage: | not available |
| Information sheet: | 2-AIN-265 information sheet |
| Teacher(s): | doc. Ing. Miloš Šrámek, PhD. |
| E-mail: | milos.sramek oeaw.ac.at
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| Homepage(s): | http://www.viskom.oeaw.ac.at/~milos/ |
Short description:
Visualisation represents a collection of techniques aimed at graphical representation of two-, three- and multidimensional data originating in computations, simulations and modern imaging devices – tomographic scanners. The main topics of this series of lectures are: signal processing theory, basics and physical principles of tomographic imaging, data analysis and segmentation, file formats for data storage, and surface and volume visualisation techniques.
Offered in these study programs: Elective in Master program in Applied Informatics
Recommendations: none