School On Scientific Data Analytics and Visualization

Monday, 12 June 2017 (All day) to Friday, 16 June 2017 (All day)

Special information:

This is a PATC course and it will be held in English.

For registration go to the web page of the PATC course (open from February, 1st).


The increasing amount of scientific data collected through sensors or computational simulations can take advantage of new techniques for being processed in order to extract new insights out of raw data. The purpose of this one-week school is to present researchers and scientists with methods, tools and techniques for exploring and mining, large data sets using Cineca high performance resources. The school is an introductory set of lectures aimed at training beginners participants in the application of relevant statistical, machine and deep learning algorithms to create classification and predictive models using Cineca resources to execute efficient processing jobs. The school will consist of introductory lectures held by data scientists, and hands-on sessions.


At the end of the course, the student will possess and know how to use the following skills:

  • Use of Cineca HPC resources
  • Machine Learning algorithms and libraries 
  • Deep Learning frameworks

Target audience:

Young students, PhD, and researchers in computational sciences and scientific areas with different backgrounds, looking for new technologies and methods to process and analyse large amount of data.


Participants must have basic knowledge in statistics, on the fundamentals of computer programming with python and in using GNU/Linux-based systems.

Research Institutions
5 dd (1 week)

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Cineca is a non profit Consortium, made up of 70 Italian universities, 5 Italian Research Institutions and the Italian Ministry of Education.

Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration. .

Visit the Cineca website