Current students

Data relations are vital assets in both statistical and human value research. We are looking for a strategy based on an in-house model that reduces the statistical error and increases the efficiency of collaboration and cooperation, taking advantage of the heterogeneity of contribution in the day-to-day life of Politecnico di Milano.
University is a collection of different entities such as professors, researchers, students and administrative staff. Our internal ICT area collects information coming from those entities to provide all the IT services.
We focus on increasing the value of such data, analysing them to extract information to help drive the decisional processes.
These applications could lead to the development of tools that may increase the efficiency of the university from the teaching and the managing standpoints.