Educational offer

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

Foundation courses

Functional Analysis (A. Cesaroni), October-November 2022

Probability Theory (S. Pagliarani, Univ. of Bologna), October-December 2022

Programming Methodologies for Data Analysis (L. Di Gaspero, K. Roitero, Univ. Udine), October-December 2022

Statistical Models (C. Gaetan, Univ. Ca' Foscari Venezia - M. Bernardi, S. Mazzuco, D. Risso and B. Scarpa), February-June 2023

Theory and Methods of Inference (A. Salvan, N. Sartori and L. Pace), March-June 2023

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 2023

Sampling Theory (P.F. Perri, Univ. della Calabria), February 2023

Bayesian Data Analysis and Computation (B. Liseo e A. Tancredi, Sapienza Univ. Roma), May-June 2023

Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), July 2023

Further activities

Library Labs (leaflet 2021, Welcome PhD Student 2020)

• First module: How to do bibliographic research in our 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 Mendeley. Integration with LaTeX.
• Third module: Bibliometrics and academic publishing  1.   Introduction to bibliometry. 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.  Open Science and data management. Institutional repositories for the outputs of research.  2.  Management of PhD theses. 

For further 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>