Educational offer

All teaching activities (foundation and specialist courses) are mandatory for first year students. 

Foundation courses

Functional Analysis (A. Cesaroni), October-December 2024

Probability Theory (A. Picarelli, Univ. Verona), November-January 2025

Programming Methodologies for Data Analysis (L. Di Gaspero, Univ. Udine), October-November 2024

Statistical Models (C. Gaetan, Univ. Ca' Foscari Venezia - M. Bernardi, S. Mazzuco, D. Risso and B. Scarpa), February-May 2025

Theory and Methods of Inference (A. Salvan, N. Sartori and L. Pace), March-June 2025

Specialist courses (planning in progress)

Several specialist courses are planned every year. Some of them are taught by guest instructors.

Applied Multivariate Techniques (L. Finos), January-February 2025

Sampling Theory (P.F. Perri, Univ. della Calabria), January-February 2025

Causal Inference in Social Science Observational Studies (B. Arpino and M. Tosi), 2025

Bayesian Data Analysis and Computation (B. Liseo and A. Tancredi, Sapienza Univ. Roma), May 2025

Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), June/July 2025 

Further activities

Library courses (leaflet 2024, Calendar, Welcome PhD Student 2024)

• First module: How to do bibliographic research in Padua University 1. Services and resources. 2. Databases by topics.
• Second module: Bibliography and Plagiarism 1.  Bibliographic citations and citation styles. Plagiarism. 2.  Reference management: introduction to Zotero. Integration with LaTeX.
• Third module: Bibliometrics and academic publishing 1.   Introduction to bibliometrics. Academic publishing and Open Access. 2. Padua Research Archive (PRA/IRIS) the institutional repository for academic research.

More information about Scholarly Communication and principles of Open Science please see libraries Moodle: https://elearning.unipd.it/sba/course/view.php?id=21 

Anyone interested in the program is invited to contact <phd@stat.unipd.it>