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Large-scale computing systems and scientific computing 805


 
Module code NEP 805
Qualification Postgraduate
Faculty Faculty of Natural and Agricultural Sciences
Module content

Introduction to scientific computing architectures in Python, introduction to distributed systems, introduction to distributed databases, introduction to parallelism, large-data computation and storage models, introduction to well-known distributed systems architectures, and programming large-data applications on open-source infrastructures for data processing and storage systems.

Module credits 15.00
Prerequisites No prerequisites.
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 1 or Semester 2

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