Project description
Training experts in optimization to make sense of ‘big’ data
The goal of data science is to draw conclusions by extracting meaningful information from huge amounts of collected observations. The field of data science includes data analysis, predictive analytics, data mining and machine learning. Optimisation appears as the cornerstone of most of the theoretical and algorithmic methods employed in this area. The EU-funded TraDE-OPT project will address the challenges involved in analysing data that are ‘big’, heterogenous, uncertain or partially observed. Specifically, the project will train 15 experts in optimisation for data science. The training programme will offer a solid technical background combined with employability skills: management, fund raising, communication, and career planning.
Fields of science
- natural sciencesmathematicspure mathematicsalgebralinear algebra
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencesmathematicspure mathematicsdiscrete mathematicsgraph theory
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
16126 Genova
Italy
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Participants (7)
91192 Gif Sur Yvette
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38106 Braunschweig
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8010 Graz
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060042 Bucharest
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01 447 Warszawa
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1348 Louvain La Neuve
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16124 Genova
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