Courses 2022/23 - XXXVIII cycle
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>