Courses 2021/22 - XXXVII cycle
All teaching activities (foundation and specialist courses) are mandatory for first year students.
Foundation courses
Functional Analysis (A. Cesaroni), October-November 2021
Probability Theory (S. Pagliarani, Univ. of Bologna), October-December 2021
Programming Methodologies for Data Analysis (L. Di Gaspero, K. Roitero, Univ. Udine), October-December 2021
Statistical Models (C. Gaetan, Univ. Ca' Foscari Venezia - M. Bernardi, S. Mazzuco, D. Risso and B. Scarpa), February-June 2022
Theory and Methods of Inference (A. Salvan, N. Sartori and L. Pace), March-June 2022
Specialist courses (planning in progress)
Several specialist courses are planned every year. Some of them are taught by guest instructors.
Time Series Analysis (L. Bisaglia), November 2021- January 2022
Applied Multivariate Techniques (L. Finos), January-February 2022
Sampling Theory (P.F. Perri, Univ. della Calabria), February 2022
Speaking with significance (L. Maragoni), May 2022
Bayesian Data Analysis and Computation (B. Liseo e A. Tancredi, Sapienza Univ. Roma), May-June 2022
Nonparametric Conditional Testing of Equivalence Hypotheses (F. Pesarin), June 2022
Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), June 2022
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>
