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

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
OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE

Credits: 2

Language: English

Teacher:  Michele Scandola

Differential diagnosis of demyelinating diseases of the central nervous system

Credits: 2

Language: Italiano; English

Teacher:  Alberto Gajofatto

CSF DYNAMICS: ANATOMICAL AND FUNCTIONAL FEATURES

Credits: 0.5

Language: Italiano Eventualmente inglese

Teacher:  Alberto Feletti

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

COMPUTATIONAL MECHANISMS UNDERLYING SENSORIMOTOR LEARNING

Credits: 4.5

Language: English

Teacher:  Matteo Bertucco

EMOTIONS, BELIEFS, AND SKILLS TO FACE CLIMATE CHANGE AND EMBRACE CLIMATE ACTION

Credits: 0.5

Language: English

Teacher:  Isolde Martina Busch

sleep related disoders: focus on REM and NREM parasomnia and SR movement disorders

Credits: 1.5

Language: italiano o inglese

Teacher:  Elena Antelmi

Disegno dello studio nella ricerca osservazionale e sperimentale  (2024/2025)

Teacher

Alessandro Marcon

Referent

Alessandro Marcon

Credits

1

Language

English

Class attendance

Free Choice

Location

VERONA

MoodleMoodle Seminars 0

Learning objectives

The course is designed to offer doctoral students an introductory understanding of epidemiological methods, focusing on the key designs of observational and experimental studies. Additionally, an overview of inference and various models for statistical data analysis will be presented.

Prerequisites and basic notions

There are no prerequisites

Program

The course aims to provide students with introductory knowledge of epidemiological methodology. An overview of observational and experimental study designs will be provided, and inference techniques and the interpretation of statistical significance will be illustrated.
- descriptive and analytical epidemiology
- experimental and observational research
- measures of disease frequency and estimates of association
- main observational and experimental study designs
- methods for the analysis of binary outcomes
- hypothesis tests and confidence intervals
- superiority, non-inferiority and equivalence studies

Didactic methods

Classes will be held in person and/or via Zoom. Attendance at 75% of classes is required.

Learning assessment procedures

There is no final exam

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

Not applicable

Criteria for the composition of the final grade

Not applicable

Scheduled Lessons

When Classroom Teacher topics
Monday 17 March 2025
14:00 - 16:00
Duration: 2:00 AM 		Istituti Biologici Blocco B Ala NUOVA - PROF. DE MARCO [ - II] Alessandro Marcon https://univr.zoom.us/j/86816660978
Thursday 20 March 2025
14:00 - 16:00
Duration: 2:00 AM 		Istituti Biologici Blocco B Ala NUOVA - PROF. DE MARCO [ - II] Alessandro Marcon https://univr.zoom.us/j/86816660978
Monday 24 March 2025
14:00 - 16:00
Duration: 2:00 AM 		Istituti Biologici Blocco A - Biblioteca Meneghetti - E Istituti Biologici [ - ] Alessandro Marcon https://univr.zoom.us/j/86816660978
Thursday 27 March 2025
14:00 - 16:00
Duration: 2:00 AM 		Istituti Biologici Blocco A - Biblioteca Meneghetti - F Istituti Biologici [ - ] Alessandro Marcon https://univr.zoom.us/j/86816660978

Sustainable Development Goals - SDGs

This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability