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 being collected through sensors or computational simulations may take advantage of new analytics techniques for being processed in order to extract new meanings out of raw data. The purpose of this one-week school is to present researches and scientists with methods, tools and techniques for the mining, analysis and visualization of large data sets using Cineca resources. This school is an introductory set of lectures aimed at training beginners participants in the application of relevant statistical and machine learning algorithms to extract new insights from data, in the adoption of data visualization techniques and tools to graph relevant information, and in the proper use of Cineca resources to execute processing jobs. The school will consist of introductory lectures held by guest data-analyst experts, and hands-on sessions.
Data Mining, Data Visualization.
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.
The number of participants is limited to 20 students.
May 8th, 2017.
STUDENTS WILL BE NOTIFIED ON THEIR ADMISSION OR NOT WITH AN EMAIL ON TUESDAY MAY,16TH.
Attendance is free.
A grant of 300 EUR (for students working and living outside Italy) and 150 EUR (for students working and living in Italy) will be available for participants not funded by their institution and not working or living in the Bologna area. Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lectures.
Lunch will be provided by Cineca.