Training and Research

PhD Programme Courses/classes - 2024/2025

This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!

Instructions for teachers: lesson management

PhD school courses/classes - 2024/2025

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

1. PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.
More information regarding CFUs is found in the Handbook for PhD Students: https://www.univr.it/phd-vademecum

2. Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, instructions will be sent well in advance. No confirmation e-mail will be sent after signing up. Please do not enquiry: if you entered the requested information, then registration was silently successful.

3. When Zoom links are not explicitly indicated, courses are delivered in presence only.

4. All information we have is published here. Please do not enquiry for missing information or Zoom links: if the information you need is not there, then it means that we don't have it yet. As soon as we get new information, we will promptly publish it on this page.

Summary of training activities

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Credits

1

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The purpose of the modules is to explain, at an intermediate level, the basis of probability theory and some of its more relevant theoretical features.
The topics will be illustrated and explained through many examples.
Students are expected to acquire the language and the concepts needed to better understand the probabilistic models and the statistical techniques used in their subjects.

Prerequisites and basic notions

There are no particular learning requirements. Students should have already been introduced (though at an elementary level) to probability and statistics. Students should also have some confidence in elementary set theory and mathematical calculus.

Program

- Discrete random variables, binomial distribution.
- Continuous random variables, density functions.
- Transformations of random variables.
- Expectation, variance and moments of random variables.
- Multidimensional random variables, discrete multidimensional random variables, marginal and conditional distributions, independent random variables.
- Linear combinations of random variables.
- Introduction to limit theorems, weak law of large numbers.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lessons will be delivered via Zoom; recordings will be made available by the lecturer. Attendance is not required, but passing a written test is required to obtain credits.

Learning assessment procedures

The final assessment will be through a written paper. Alternatively, there will be a Moodle QUIZ.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Faculty

A B C F G K L M N O P R S T V

Bercelli Jacopo

symbol email jacopo.bercelli@univr.it symbol phone-number +39 045 8425320

Calafà Laura

symbol email laura.calafa@univr.it symbol phone-number +39 045 8425337

Flor Roberto

symbol email roberto.flor@univr.it

Fratea Caterina

symbol email caterina.fratea@univr.it symbol phone-number 045 842 5358

Guiglia Giovanni

symbol email giovanni.guiglia@univr.it symbol phone-number 045 802 8225

Kovač Polonca

symbol email polonca.kovac@fu.uni-lj.si

Ligugnana Giovanna

symbol email giovanna.ligugnana@univr.it symbol phone-number +39 045 8425392

Meruzzi Giovanni

symbol email giovanni.meruzzi@univr.it symbol phone-number +39 045 8425315

Nicolini Matteo

symbol email matteo.nicolini@univr.it symbol phone-number +39 045 8425393

Omodei Sale' Riccardo

symbol email riccardo.omodeisale@univr.it symbol phone-number 045 8425355

Ortino Matteo

symbol email matteo.ortino@univr.it symbol phone-number +39 045 8425330

Ortoleva Maria Grazia

symbol email mariagrazia.ortoleva@univr.it symbol phone-number 045 802 8052

Palermo Francesco

symbol email francesco.palermo@univr.it symbol phone-number +39 045 8425378

Pasquariello Federica

symbol email federica.pasquariello@univr.it symbol phone-number 045 802 8233

Pedrazza Gorlero Cecilia

symbol email cecilia.pedrazzagorlero@univr.it symbol phone-number +39 045 8425350

Pelloso Carlo

symbol email carlo.pelloso@univr.it symbol phone-number +390458425326

Peruzzi Marco

symbol email marco.peruzzi@univr.it symbol phone-number 045 8025338

Rossi Giovanni

symbol email giovanni.rossi@univr.it symbol phone-number +39 045 8425340

Torsello Marco

symbol email marco.torsello@univr.it symbol phone-number +39 045 8425381

Troiano Stefano

symbol email stefano.troiano@univr.it symbol phone-number +39 045 8425317

PhD students

PhD students present in the:
Course lessons
PhD Schools lessons

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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.

Documents

Title Info File
File pdf Dottorandi: Linee guida generali pdf, it, 166 KB, 19/04/24
File pdf PhD students: General guidelines pdf, en, 193 KB, 19/04/24