Formazione e ricerca

Attività Formative della Scuola di Dottorato - 2023/2024

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, 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: as soon as we get new information, we will promptly publish it on this page.

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

INTRODUCTION TO PROBABILITY (MODULE I)  (2023/2024)

Docente

Marco Minozzo

Referente

Marco Minozzo

Crediti

1

Lingua di erogazione

English

Frequenza alle lezioni

Scelta Libera

MoodleMoodle Seminari 0

Obiettivi di apprendimento

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.

Prerequisiti e nozioni di base

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.

Programma

- Random experiments, events, event trees.
- Algebras and sigma-algebras, axiomatic definition of probability, probability spaces, properties of probability.
- Conditional probability, Bayes theorem, stochastic independence for events.
- Random variables, measurability, cumulative distribution function.

Bibliografia

Vai alla bibliografia
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.

Modalità didattiche

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.
WHEN/WHERE
4 October 2023, 14:00-17:00
6 October 2023, 9:00-12:00
18 October 2023, 14:00-16:00

Modalità di verifica dell'apprendimento

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

Le/gli studentesse/studenti con disabilità o disturbi specifici di apprendimento (DSA), che intendano richiedere l'adattamento della prova d'esame, devono seguire le indicazioni riportate QUI

Lezioni Programmate

Quando Aula Docente Argomenti
mercoledì 04 ottobre 2023
14:00 - 17:00
Durata: 3.00 		https://moodledidattica.univr.it/course/view.php?id=15631 Marco Minozzo Introduction to probability (module I)
venerdì 06 ottobre 2023
09:00 - 12:00
Durata: 3.00 		https://moodledidattica.univr.it/course/view.php?id=15631 Marco Minozzo Introduction to probability (module I)
mercoledì 18 ottobre 2023
14:00 - 16:00
Durata: 2.00 		https://moodledidattica.univr.it/course/view.php?id=15631 Marco Minozzo Introduction to probability (module I)

Dottorandi

Dottorandi presenti nel:
Lucrezia Bolla, 1 ottobre 2024

Bolla Lucrezia

symbol email lucrezia.bolla@univr.it
Foto, 14 ottobre 2024

Conti Elisa

symbol email elisa.conti@univr.it
Foto, 15 ottobre 2024

Crescioli Sofia

symbol email sofia.crescioli@univr.it
Foto, 23 ottobre 2024

D'Arrigo Giuseppe

symbol email giuseppe.darrigo@univr.it
Foto_Fonte, 10 ottobre 2024

Fonte Marco

symbol email marco.fonte@univr.it
Lanna FigueiredoHelena

Lanna Figueiredo Helena

symbol Incoming cotutela Cotutela: Incoming student symbol universita Universidade Federal de Minas Gerais
foto profilo, 18 marzo 2024

Masotto Elia

symbol email elia.masotto@univr.it
profile 1, 28 ottobre 2024

Pereira Santos Rodrigues Alice

symbol email alice.pereirasantosrodrigues@univr.it
Lezioni del Corso
Lezioni della Scuola di Dottorato

Loading...

Linee guida percorso formativo

Di seguito i file che contengono le Linee guida per il percorso formativo e il regolamento per l'acquisizione dei crediti formativi (CFU) per l'Anno Accademico 2024/2025.

Documenti

Titolo Info File
File octet-stream Dottorandi: Linee guida generali octet-stream, it, 123 KB, 04/11/24
File octet-stream PhD students: General guidelines octet-stream, en, 45 KB, 04/11/24