Educational offer

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

Foundation courses

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

Probability Theory (A. Picarelli, Univ. Verona), November-December 2024

Programming Methodologies for Data Analysis (L. Di Gaspero, Univ. Udine), 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

Statistical Consulting (A. Canale, M. Guidolin)

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), December 2024 -February 2025

Sampling Theory (P. F. Perri, Univ. della Calabria), January 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 2025, Calendar, Welcome PhD Student 2025)

• First module: How to do an effective 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.
• Fourth module: Open Science and PhD thesis 1.   Institutional repositories for the outputs of research. 2. Management of PhD theses

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>