During its first cycle, the Department of Excellence started actively promoting the development and coordination of courses related to its core research mission. These include courses on programming, data analytics and AI (which build upon Python courses first offered by Andrea Vandin and Daniele Licari in the Spring of 2020) and courses on statistical methods (which build upon prior courses offered by Francesca Chiaromonte, stressing applications to large contemporary datasets, and Chiara Seghieri).
Since a.y. 2020-21, we were able to offer on a regular basis a sequence of coordinated courses entitled "Stats & Computing" - which utilized online or blended modalities during the pandemic, and has had consistently large enrollments by undergraduate and graduate students of the Sant’Anna School, as well as by students from other programs in the Pisan academic community. The sequence, whose details and materials for a.y. 2022-23 can be found here, comprises:
- Applied Statistics (Chiara Seghieri), which provides 20-hours review of basic concepts in descriptive statistics, statistical inference, and linear and generalized linear models -- using the STATA software and R.
- Statistical Learning and Large Data (Francesca Chiaromonte) which, through two modules of 20 hours each, introduces the students to key topics in contemporary Statistical Learning and approaches to the analysis of high dimensional, ultra-high dimensional, and ultra-large datasets -- using R as a reference language.
- Programming, Data Analytics and AI (Andrea Vandin) which, through two modules of 20 hours each, introduces the students to structured computer programming and various data processing, manipulation, visualization and analysis techniques -- using Python as reference language.
The material in Programming, Data Analytics and AI has also been repeatedly offered in different formats and venues, e.g., for the PhD Program in Computer Science at GSSI (Gran Sasso Science Institute of L'Aquila) and for the ARTES4 Industry 4.0 Competence Center.
Our sequence of coordinated courses will be further refined and expanded during the second cycle of L'EMbeDS.