Training and Research

PhD Programme Courses/classes - 2023/2024

Business and Company Law

Credits: 0,5

Language: Italian

Teacher:  Giuliana Scognamiglio, Lorenzo Benedetti, Mar Bustillo, Gianluca Guerrieri, Monica Attanasio, Silvia Scalzini, Laura Zoboli, Bernardo Calabrese, Federica Pasquariello, Paola Manes

Seminari Scienze Giuridiche

Credits: 14,5

Language: Italian

An Introduction to Legal Geography

Credits: 1

Language: Italian

Teacher:  R. Houghton, Matteo Nicolini, Jaakko Husa, MIchele Graziadei, Tommaso Amico di Meane

Il caso Cilevics: tra identità nazionale e tutela delle minoranze linguistiche

Credits: 0,5

Language: Italian

Teacher:  Prof. Giacomo Di Federico

Women’s Property Rights under Cedaw

Credits: 0,5

Language: Italian

Teacher:  Prof. José Alvarez

Comparative Private Law

Credits: 1

Language: Italian

Teacher:  Andrea Fusaro, Marco Torsello, Giuditta Cordero-Moss

Crypto-activities in the MiCAr between case and discipline

Credits: 0,5

Language: Italian

Teacher:  Michele De Mari

Cybercrime e Cybersecurity

Credits: 1

Language: Italian

Teacher:  Roberto Flor

Diritto Tributario

Credits: 1

Language: Italian

Teacher:  Maria Grazia Ortoleva, M.P. Alguacil, A. Guidara, L. Del Federico, C. Verrigni

Economic Law

Credits: 1

Language: Italian

Teacher:  Matteo Ortino, Giuseppe Mazziotti, Federico Ferretti

Protezione dei dati personali e rapporto di lavoro subordinato

Credits: 1

Language: Italian

Teacher:  Marco Peruzzi

The Third Legal Family: Mixed Jurisdiction Law in the State of Louisiana

Credits: 0,5

Language: Italian

Teacher:  Stefano Troiano

PhD school courses/classes - 2023/2024

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

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.

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.

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

Italian

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course aims at introducing the participants to R and to some of its most powerful innovations, which have recently reshaped the way the R code is designed. The approach of the course is mainly applicative, and particular attention is devoted to some topics which are becoming more and more relevant in research, and typically entails highly time-consuming activities, such as data manipulation and code documentation. A unified conceptual framework is provided on model fitting, in order to make participants able to cope with different (and new) regression models autonomously and efficiently.This module
introduces the participants to R language and to its basic functions for statistical analysis of data and stochastic simulations.

Program

1. Introduction to R: R and RStudio; working directory and workspace; special values; types and R objects: scalars, vectors, matrices, data.frame, lists; indexes; matrix operations; definition of new functions; the function str and the help of R.
2. Basic statistics with R: factor variables and the cut function; basic statistical functions; frequency tables and basic statistical tests; probability distributions; (pseudo)-random number generators and seeds; introduction to Monte Carlo simulations.

When and where

13 March 2024, 12:00-15:00
Aula E, Istituti Biologici
26 March 2024, 12:00-15:00
Aula 4, Lente Didattica
3 April 2024, 12:00-14:00
Aula E, Istituti Biologici

Lessons will be delivered in presence. At least 75% attendance is required.

Faculty

A B C D F G 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

De Mari Michele

symbol email michele.demari@univr.it symbol phone-number 045 802 8226

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

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 8425338

Ragno Francesca

symbol email francesca.ragno@univr.it symbol phone-number +39 045 8425398

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

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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