Due to continuous research and development in the field of supercomputing technology and theoretical methods, it is necessary to educate experts able to operate and effectively exploit the state-of-the-art computational resources in research and computing departments. The students of Computational Sciences field of study with Computational Informatics as their specialization are supposed to become those experts in question.
This study program will follow up and further develop the rudimentary knowledge of computer sciences acquired in the Bachelor Study Program. Within the study program, the emphasis is mainly placed on data analysis and their procession, effective exploitation of HPC architectures, parallel programming, numerical methods, and machine learning.
The graduates of Computational Sciences Master Study Program specialized in Data analysis and Visualisation will acquire complex knowledge and gain experience covering broad areas of HPC, particularly computer architectures, parallel programming and data structures as well as big data procession and their analysis.
Within the specialization students can choose one of the following diploma thesis topics:
Biologically Inspired Algorithms
Data Analysis Methods I
Data Analysis Methods II
Probability and Statistics
C/C++ Applications Analysis and Optimization
Mathematics for Knowledge Procession
Data Analysis Methods III
Text Data Analysis Methods
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