Training and Research

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

Teacher

Not yet assigned

Credits

2.5

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

Il corso ha l’obiettivo di permettere di acquisire le competenze necessarie a condurre analisi statistiche di base, sia di tipo descrittivo sia di tipo inferenziale, a supporto della ricerca, in particolare nell’ambito delle scienze umane, anche attraverso l’uso di pacchetti statistici opensource (JAMOVI).

Program

Programma:

1. Introduction to empirical research (measurement issues, research designs, data collection)
2. Introduction to statistics: Descriptive statistics and graphical representation
3. Null hypothesis testing, t-test, Chi-square
4. Correlational analysis, Simple and multiple linear regression analysis and hierarchical regression
5. Esercitazione riepilogativa sui contenuti di tutto il corso
6. Prova di verifica delle competenze acquisite

Didactic methods

Il corso di Statistica Base sarà organizzato su tre sessioni distribuite nel corso dell’a.a.

- Sessione 1: docenti interni UNIVR (Professoresse Brondino, Menardo), max 30 persone. Il corso sarà a distanza, sulla piattaforma Zoom, con frequenza obbligatoria ad almeno il 70% delle ore. Prova di verifica al termine della sessione.
- Sessione 2: docenti esterni da selezionare tramite bando, max 30 persone. Il corso sarà a distanza, sulla piattaforma Zoom, con frequenza obbligatoria ad almeno il 70% delle ore. Prova di verifica al termine della sessione.
- Sessione 3: docenti esterni da selezionare tramite bando, max 30 persone. Il corso sarà a distanza, sulla piattaforma Zoom, con frequenza obbligatoria ad almeno il 70% delle ore. Prova di verifica al termine della sessione.

Scheduled Lessons

When Classroom Teacher topics
Wednesday 27 November 2024
09:00 - 13:00
Duration: 4:00 AM
Zoom link for enrolled students only. Basic Level Statistics
Wednesday 04 December 2024
09:00 - 13:00
Duration: 4:00 AM
Zoom link for enrolled students only Basic Level Statistics
Wednesday 11 December 2024
09:00 - 13:00
Duration: 4:00 AM
Zoom link for enrolled students only Basic Level Statistics
Wednesday 18 December 2024
09:00 - 13:00
Duration: 4:00 AM
Zoom link for enrolled students only Basic Level Statistics
Thursday 19 December 2024
09:00 - 13:00
Duration: 4:00 AM
Zoom link for enrolled students only Basic Level Statistics
Wednesday 08 January 2025
09:00 - 11:00
Duration: 2:00 AM
Zoom link for enrolled students only Basic Level Statistics - final examination

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 Guidelines for PhD students pdf, en, 146 KB, 02/04/24
File pdf Linee guida del percorso formativo pdf, it, 210 KB, 02/04/24