Multidimensional Data Visualisation 2-AIN-265

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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.

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