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

Research organisation

Credits: 1

Language: English.

Teacher:  Gianluca Veronesi, Ivan Russo, Ilenia Confente

Qualitative research methods

Credits: 10,5

Language: English

Teacher:  Sara Moggi, Lapo Mola, Alessandro Lai, Daniela Pianezzi, Riccardo Stacchezzini

Advanced quantitative research methods

Credits: 11

Language: English

Teacher:  Elena Claire Ricci, Claudia Bazzani, Alessandro Zardini, Riccardo Scarpa

Advanced regression techniques (models for single binary outcomes, glm, glmm)

Credits: 1

Language: English

Teacher:  Laura Rizzi

Basic regression techniques (linear model, multivariate regression, fixed and random effects)

Credits: 1

Language: English

Teacher:  Laura Rizzi

Bayesian inference, Monte Carlo Markov Chains

Credits: 0,8

Language: English

Teacher:  Luca Grassetti

Business strategy

Credits: 0,5

Language: English

Teacher:  Andrea Moretti

Capital structure theories

Credits: 0,5

Language: English

Teacher:  Josanco Floreani

Classics in Accounting

Credits: 4

Language: English

Teacher:  Francesca Rossignoli, Alessandro Lai, Riccardo Stacchezzini, Cristina Florio

Classics in finance

Credits: 3

Language: English

Teacher:  Laura Chiaramonte

Classics in supply chain management

Credits: 4

Language: English

Teacher:  Ivan Russo, Barbara Gaudenzi

Consumer behaviour - advanced

Credits: 0,3

Language: English

Teacher:  Michela Mason

Consumer behaviour - basics

Credits: 0,3

Language: English

Teacher:  Francesco Raggiotto

Data categories and Exploratory Data Analysis

Credits: 0,8

Language: English

Teacher:  Laura Pagani

Data reduction methods: cluster analysis, PCA, factor analysis

Credits: 1,5

Language: English

Teacher:  Laura Pagani

ESG measurement systems

Credits: 0,5

Language: English

Teacher:  Giulio Corazza, Filippo Zanin

Family business

Credits: 0,3

Language: English

Teacher:  Daniel Pittino

Fundamentals of project management. PM areas, scope, WBS

Credits: 0,8

Language: English

Teacher:  Cinzia Battistella

International business

Credits: 0,5

Language: English

Teacher:  Maria Chiarvesio

Marketing

Credits: 0,5

Language: English

Teacher:  Francesco Raggiotto

Organisation

Credits: 0,5

Language: English

Teacher:  Giancarlo Lauto

Organisation and management of a project proposal: call finding and logical framework

Credits: 0,8

Language: English

Teacher:  Luca Brusati

Organisation and management of a project proposal: Gantt and budget

Credits: 0,8

Language: English

Teacher:  Luca Brusati

Qualitative comparative analysis

Credits: 0,8

Language: English

Teacher:  Francesca Visintin

Review of basic Probability and Statistics, frequentist methods of inference

Credits: 0,8

Language: English

Teacher:  Luca Grassetti

Servitisation

Credits: 0,3

Language: English

Teacher:  Raffaella Tabacco

Strategic-performance measurement systems

Credits: 0,8

Language: English

Teacher:  Filippo Zanin

Time management, Project Cycle Management

Credits: 0,8

Language: English

Teacher:  Cinzia Battistella

Trending topics in accounting

Credits: 1

Language: English

Teacher:  Stefano Landi

Trending topics in consumer market research for developing innovation

Credits: 2

Language: English

Teacher:  Roberta Capitello, Elena Claire Ricci, Claudia Bazzani

Trending topics in finance

Credits: 2

Language: English

Teacher:  Laura Chiaramonte

Trending topics in performance management

Credits: 3

Language: English

Teacher:  Silvia Vernizzi, Silvia Cantele

Trending topics in supply chain management

Credits: 2

Language: English

Teacher:  Silvia Blasi, Ilenia Confente, David D'Acunto

Value-based management systems

Credits: 0,8

Language: English

Teacher:  Giulio Corazza, Eugenio Comuzzi

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: 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

1

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course aims to introduce 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.

Faculty

B C D F G L M P R S T V Z

Bazzani Claudia

symbol email claudia.bazzani@univr.it symbol phone-number 0458028734

Blasi Silvia

symbol email silvia.blasi@univr.it symbol phone-number 045 8028218

Cantele Silvia

symbol email silvia.cantele@univr.it symbol phone-number 045 802 8220 (VR) - 0444 393943 (VI)

Capitello Roberta

symbol email roberta.capitello@univr.it symbol phone-number 045 802 8488

Chiaramonte Laura

symbol email laura.chiaramonte@univr.it

Confente Ilenia

symbol email ilenia.confente@univr.it symbol phone-number 045 802 8174

D'Acunto David

symbol email david.dacunto@univr.it symbol phone-number 045 802 8193

Florio Cristina

symbol email cristina.florio@univr.it symbol phone-number 045 802 8296

Gaudenzi Barbara

symbol email barbara.gaudenzi@univr.it symbol phone-number 045 802 8623

Lai Alessandro

symbol email alessandro.lai@univr.it symbol phone-number 045 802 8574

Landi Stefano

symbol email stefano.landi@univr.it symbol phone-number 045 802 8168

Leardini Chiara

symbol email chiara.leardini@univr.it symbol phone-number 045 802 8222

Moggi Sara

symbol email sara.moggi@univr.it symbol phone-number 045 802 8290

Mola Lapo

symbol email lapo.mola@univr.it symbol phone-number 0458028565

Pianezzi Daniela

symbol email daniela.pianezzi@univr.it

Ricci Elena Claire

symbol email elenaclaire.ricci@univr.it symbol phone-number 045 8028422

Rossignoli Francesca

symbol email francesca.rossignoli@univr.it symbol phone-number 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Russo Ivan

symbol email ivan.russo@univr.it symbol phone-number 045 802 8161 (VR)

Scarpa Riccardo

symbol email riccardo.scarpa@univr.it

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186

Vernizzi Silvia

symbol email silvia.vernizzi@univr.it symbol phone-number 045 802 8168 (VR) 0444 393937 (VI)

Veronesi Gianluca

symbol email gianluca.veronesi@univr.it

Zardini Alessandro

symbol email alessandro.zardini@univr.it symbol phone-number 045 802 8565

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.