Courses 2020/21 - XXXVI cycle
Foundation courses
Functional Analysis (A. Cesaroni), October-November 2020
Probability Theory (S. Pagliarani, Univ. Bologna), October-December 2020
Programming Methodologies for Data Analysis (L. Di Gaspero, Univ. Udine), October-December 2020
Theory and Methods of Inference (A. Salvan and N. Sartori), February-June 2021
Statistical Models
- Spatial Statistics (C. Gaetan, Univ. Venezia), March-May 2021
- Generalized Linear Mixed Models (R. Bellio, Univ. Udine - L. Egidi, Univ. Trieste), March-April 2021
- Time Series Analysis (L. Grossi), April-May 2021
- Applied Multivariate Techniques (L. Finos), January-March 2021
Specialist courses
Regression Modelling with Large Data Sets (I. Kosmidis, Univ. of Warwick and Alan Turing Institute), May 2021
Bayesian Data Analysis and Computation (B. Liseo e A. Tancredi, Sapienza Univ. Roma), May-June 2021
Meta Analysis (A. Guolo, Univ. Padova), June 2021
Sampling Theory (P.F. Perri, Univ. della Calabria), July 2021
Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), July 2021
The Population Dynamics of Infectious Diseases (P. Manfredi, Univ. Pisa), July 2021
Anyone interested is invited to contact <phd@stat.unipd.it>
Further activities
Library Labs (leaflet 2020, 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
