High Performance Computing and Big Data Analytics

Programme objectives: Acquisition of theoretical, applicative and practical knowledge in:  complex systems modelling based on mathematical concepts and methods, and on programming concepts and techniques, programming and usage on/of computation systems, especially those of high performance, which are necessary for solving real life problems and for simulating complex problem solutions,  exploitation (data-analysis, knowledge-discovering) and visualization of „big data” for computation problems, statistical interpretations, decision processes, or for scientific instruments,  applicative scientific domains where high performance systems are used, analysis and improvement of software processes, professional modelling for team work as well as interdisciplinary approaches to research and development.

Core courses: Programming Paradigms, Parallel and Distributed Operating Systems,   Formal Modelling of Concurrency,   Advanced Methods in Data Analysis,     Functional parallel programming for big data analytics, Models in parallel programming,  General Purpose GPU Programming, Workflow Systems,   Resource-aware computing, Data Mining,  Grid, Cluster and Cloud Computing, Knowledge Discovery in Wide Area Networks