Educational offer

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

Foundation courses

Functional Analysis (TBA), November-December 2026

Probability Theory (A. Picarelli, Univ. Verona - S. Rizzelli), November-December 2026

Programming Methodologies for Data Analysis (L. Di Gaspero and F. Da Ros, Univ. Udine), November 2026

Statistical Models (M. Bernardi, C. Gaetan, S. Mazzuco, D. Risso and B. Scarpa), February-June 2027

Theory and Methods of Inference (A. Salvan, N. Sartori and L. Pace), March-June 2027

Statistical Consulting (E. Aliverti, M. Guidolin) 2027

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 2026 -January 2027

Sampling Theory (P. F. Perri, Univ. della Calabria), January 2027

Bayesian Data Analysis and Computation (B. Liseo and A. Tancredi, Sapienza Univ. Roma), April - May 2027

Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), July 2027

Further activities

Library courses (leaflet 2027, Calendar, Welcome PhD Student 2027)

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>