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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{{Course
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generic page
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  | name = Multidimensional Data Visualisation
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  | code = 2-AIN-265
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  | prerequisites = none
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  | semester = Winter
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  | year = 1-2
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  | credits = 3
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  | form = L - laboratory exercise (2)
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  | evaluation = 100/0
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  | webpage = not available
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  | teacher = [[Milos Sramek|doc. Ing. Miloš Šrámek, PhD.]]
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  | email = milos.sramek[[Image:zavinac.gif|@]]oeaw.ac.at
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  | homepage = http://www.viskom.oeaw.ac.at/~milos/
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  | 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.
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  | offered_in = Elective in [[Master program in Applied Informatics]]
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  | recommendations = none
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Aktuálna revízia z 17:03, 24. august 2008

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