High Performance Computing and Big Data Analytics

Overview

Key facts

Purposes of the High Performance Computing and Big Data Analytics program at University Babes-Bolyai:

• Acquisition of theoretical knowledge in complex systems modelling based on mathematical concepts and methods, and on programming concepts and techniques.

• Acquisition of applicative and practical knowledge. in 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.

• Acquisition of theoretical, applicative knowledge in exploitation (data-analysis, knowledge-discovering) and visualization of „big data” for computation problems, statistical interpretations, decision processes, or for scientific instruments.

• Acquisition of theoretical, applicative and practical knowledge in applicative scientific domains where high performance systems are used.

• Acquisition of theoretical, applicative and practical knowledge in analysis and improvement of software processes.

• Acquisition of theoretical, applicative and practical knowledge in professional modelling for team work as well as interdisciplinary approaches to research and development.

Gained Abilities and Skills

• Advanced knowledge of theoretical, methodological, and practical developments in computer science;

• Systematic use of computer science knowledge to model and interpret new situations, within application contexts larger than the known ones;

• Detailed knowledge and integrated use of conceptual and methodological apparatus pertaining to informatics to provide solutions for incompletely defined situations, to solve new theoretical and practical problems;

• Proficient use of verification, validation, and evaluation criteria and methods to his/her own software solutions, ability to formulate value judgments and to justify/explain constructive decisions;