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!
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: 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.
Teaching Activities ex DM 226/2021: Linguistic Activities
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Law and Economics]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Law and Economics]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
Teaching Activities ex DM 226/2021: Research management and Enhancement
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Arts and Humanities]
Credits: 2,5
Language: Italian
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Law and Economics]
Credits: 2,5
Language: Italian
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Scientific Area]
Credits: 2,5
Language: Italian
Teaching Activities ex DM 226/2021: Statistics and Computer Sciences
CORSO STATISTICA - LIVELLO BASE
Credits: 2,5
Language: English
INTRODUCTION TO PROBABILITY (MODULE I)
Credits: 1
Language: English
Introduction to Probability (module II)
Credits: 1
Language: English
Teacher: Marco Minozzo
Introduction to Statistical Inference
Credits: 1
Language: English
Teacher: Marco Minozzo
USO DI R PER L'ANALISI STATISTICA - LIVELLO BASE
Credits: 1
Language: English
Validità e affidabilità delle misure e dei test diagnostici
Credits: 0,5
Language: English
Teacher: Alessandro Marcon
APPLICATION OF META-ANALYSIS TO THE EPIDEMIOLOGICAL OR MEDICAL FIELD
Credits: 1
Language: English
Teacher: Giuseppe Verlato
CORSO STATISTICA - LIVELLO INTERMEDIO
Credits: 2,5
Language: English
DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER
Credits: 0,5
Language: English
Teacher: Giuseppe Verlato
GENERALIZED LINEAR MODELS: LOGISTIC REGRESSION, LOGLINEAR MODEL, POISSON MODEL
Credits: 1
Language: English
Teacher: Lucia Cazzoletti
Disegno dello studio nella ricerca osservazionale e sperimentale
Credits: 1
Language: English
Teacher: Alessandro Marcon
Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Credits: 1,5
Language: English - Inglese
Teacher: Simone Accordini
USO DI R PER L'ANALISI STATISTICA - LIVELLO INTERMEDIO
Credits: 0,8
Language: English
Teacher: Alessandro Mantovani
Teaching Activities: Free choice
DOING INTERVIEWS IN QUALITATIVE RESEARCH
Credits: 2
Language: English
Teacher: Chiara Sità
PROGETTAZIONE E CONDUZIONE DI FOCUS GROUP
Credits: 2
Language: Italian
PROTECTING PSYCHOLOGICAL WELL-BEING IN THE PHD PROGRAM. DEVELOPMENT AND ENHANCEMENT OF PERSONAL STRATEGIES AND ATTITUDES PREDISPOSING TO PROFESSIONAL SATISFACTION AND ETHICAL COLLABORATION
Credits: 1
Language: Italian
Teacher: Michela Rimondini
QUANDO LA RICERCA SI FA ETICA (PERCORSO ORGANIZZATO E FINANZIATO DAL TEACHING AND LEARNING CENTER DI UNIVR)
Credits: 2
Language: English
Teacher: Roberta Silva
Workshop /Participatory approaches and methods in doing research with local actors
Credits: 1,5
Language: English
Teacher: Antonietta De Vita
...E SE VOLESSI FARE IMPRESA
Credits: 1
Language: Italian
IMPARA IL MARKETING DIGITALE
Credits: 1
Language: Italian
LA POESIA ITALIANA ALL'ESTERO
Credits: 1
Language: Italian
Teacher: Massimo Natale
THE EMPIRICAL PHENOMENOLOGICAL METHOD (EPM): THEORETICAL FOUNDATION AND EMPIRICAL APPLICATION IN EDUCATIONAL AND HEALTHCARE FIELDS
Credits: 2
Language: English
Teacher: Luigina Mortari
DOTTORATO E MERCATO DEL LAVORO: WORKSHOP FORMATIVI PER DOTTORANDI E NEO-DOTTORI DI RICERCA
Credits: 4
Language: Italian
ARE YOU SURE YOU CAN DEFEAT A CHATBOT?
Credits: 1
Language: Italian
MEETING UKRAINE: THE IMPACT OF WAR AND FUTURE OPPORTUNITIES
Credits: 1
Language: Italian
EMOTIONS, BELIEFS, AND SKILLS TO FACE CLIMATE CHANGE AND EMBRACE CLIMATE ACTION
Credits: 0,5
Language: English
OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE
Credits: 2
Language: English
Teacher: Michele Scandola
COMPUTATIONAL MECHANISMS UNDERLYING SENSORIMOTOR LEARNING
Credits: 3,5
Language: English
Teacher: Matteo Bertucco
CSF DYNAMICS: ANATOMICAL AND FUNCTIONAL FEATURES
Credits: 0,5
Language: English
Teacher: Alberto Feletti
Differential diagnosis of demyelinating diseases of the central nervous system
Credits: 2
Language: English
Teacher: Alberto Gajofatto
sleep related disoders: focus on REM and NREM parasomnia and SR movement disorders
Credits: 1,5
Language: italiano o inglese
Teacher: Elena Antelmi
Tecniche di immagine per l'analisi della composizione corporea
Credits: 1
Language: Inglese/English
Teacher: Carlo Zancanaro
Tecniche di ricerca in neuroscienze: misurare e modulare l'attività neuronale
Credits: 2,3
Language: non prevista
Teacher: Giuseppe Busetto
CORSO STATISTICA - LIVELLO BASE (2024/2025)
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.
Faculty
PhD students
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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.