Fundamentals of extracting information from data, machine learning, pattern recognition, fundamentals of databases and high-performance computing, as well as applications of data science to real problems.
Specific issues on information retrieval, probabilistic boolean networks, perception and 3D Mapping, open science and big data.
Discussions and reflections about the impact of mathematical fundamentals on data science based on concrete challenges and perspectives for social good.
School participants will present their research using the “one minute strategy”. This session will provide the opportunity for attendees to interact with each other and present their work to a large audience.
Presentation of visionary data science activities and research infrastructure at USP.
Attendees and guest speakers will have ample opportunity to interact and share experiences in a non-formal environment. Two musical presentations are scheduled as part of the social activities.