Foundation courses

Functional Analysis (A. Cesaroni), October-November 2019

Probability Theory (S. Pagliarani, Univ. Udine and A. Picarelli, Univ. Verona), October-December 2019

Theory and Methods of Inference (A. Salvan, L. Pace, N. Sartori), February-June 2020

Statistical Models (L. Bisaglia)

• Spatial Statistics (C. Gaetan, Univ. Venezia), February-May 2020
  
• Generalized Linear Mixed Models (N.Torelli, Univ. Trieste), April-May 2020
• Time Series Analysis (L. Bisaglia), March-May 2019
• Applied Multivariate Techniques (M. Chiogna, Univ. Bologna), December 2019-January 2020

Statistical Consulting (A. Canale)

Specialist courses (planning in progress)

Programming with Python (L. Di Gaspero, Univ. Udine), October 2019

Sampling Theory (P.F. Perri, Univ. della Calabria), February 2020

Bayesian Data Analysis and Computation (B. Liseo, Sapienza Univ. Roma), June 2020

Models for Categorical Ordinal Data: Standard Models and  Recent Developments  (M. Iannario, Univ. Napoli Federico II), July 2020

Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), July 2020

Regression Modelling with Large Data Sets (I. Kosmidis, Univ. of Warwick and Alan Turing Institute), September 2020

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

Further activities

Library Labs (Leaflet 2019)

• 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  (part 1, part 2) 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  (part 1, part 2) 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