(New page: {{Course | name = Multidimensional Data Visualisation | code = 2-AIN-265 | prerequisites = none | semester = Winter | year = 1-2 | credits = 3 | form = L - lecture (2) | ev...)
 
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{{Course
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{{Predmet
 
   | name = Multidimensional Data Visualisation
 
   | name = Multidimensional Data Visualisation
 
   | code = 2-AIN-265
 
   | code = 2-AIN-265
   | prerequisites = none
+
   | prerequisites = žiadne
   | semester = Winter
+
   | semester = Zimný
 
   | year = 1-2
 
   | year = 1-2
 
   | credits = 3
 
   | credits = 3
   | form = L - lecture (2)
+
   | form = P - prednáška (2)
 
   | evaluation = 100/0  
 
   | evaluation = 100/0  
   | webpage = not available
+
   | webpage = chýba
 
   | teacher = [[Milos Sramek|doc. Ing. Miloš Šrámek, PhD.]]  
 
   | teacher = [[Milos Sramek|doc. Ing. Miloš Šrámek, PhD.]]  
 
   | email = milos.sramek[[Image:zavinac.gif|@]]oeaw.ac.at
 
   | email = milos.sramek[[Image:zavinac.gif|@]]oeaw.ac.at
 
   | homepage = http://www.viskom.oeaw.ac.at/~milos/
 
   | homepage = http://www.viskom.oeaw.ac.at/~milos/
 
   | 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.
 
   | 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 = Elective in [[Master program in Applied Informatics]]
+
   | offered_in = Voliteľný v [[Bachelor program in Applied Informatics|Magisterskom programe Aplikovaná informatika]]
   | recommendations = none
+
   | recommendations = žiadne
 
}}
 
}}

Revision as of 18:02, 20 August 2008

Multidimensional Data Visualisation 2-AIN-265

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Názov a kód predmetu: Multidimensional Data Visualisation (2-AIN-265)
Prerekvizity: žiadne
Vyučuje sa/odporúčaný ročník: Zimný semester / 1-2
Forma a # hodín/týždeň: P - prednáška (2)
Kredity: 3
Hodnotenie (semester/skúška): 100/0
Webstránka predmetu: chýba
Informačný list: Informačný list 2-AIN-265 (fakultná služba)
Vyučujúci: doc. Ing. Miloš Šrámek, PhD.
E-mail: milos.sramek@oeaw.ac.at
Domovská stránka: http://www.viskom.oeaw.ac.at/~milos/

Popis predmetu:

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.

Je časťou študijného programu: Voliteľný v Magisterskom programe Aplikovaná informatika

Odporúčania: žiadne