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.
Teaching Activities ex DM 226/2021: Linguistic Activities
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 PRESENTATION SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2.5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Arts and Humanities]
Credits: 2.5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-2nd 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
Introduction to Probability (module I)
Credits: 1
Language: English
Teacher: Marco Minozzo
CORSO STATISTICA - LIVELLO BASE
Credits: 2.5
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
Validità e affidabilità delle misure e dei test diagnostici
Credits: 0.5
Language: English
Teacher: Alessandro Marcon
USING R FOR STATISTICAL ANALYSIS - BASIC LEVEL
Credits: 1
Language: English
Teacher: Michele Scandola
Disegno dello studio nella ricerca osservazionale e sperimentale
Credits: 1
Language: English
Teacher: Alessandro Marcon
USO DI R PER L'ANALISI STATISTICA - LIVELLO INTERMEDIO
Credits: 0.8
Language: English
Teacher: Alessandro Mantovani
DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER
Credits: 0.5
Language: inglese
Teacher: Giuseppe Verlato
Applicazione della meta-analisi al campo medico ed epidemiologico
Credits: 1
Language: Inglese
Teacher: Giuseppe Verlato
GENERALIZED LINEAR MODELS: LOGISTIC REGRESSION, LOGLINEAR MODEL, POISSON MODEL
Credits: 1
Language: English
Teacher: Lucia Cazzoletti
Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Credits: 1.5
Language: English - Inglese
Teacher: Simone Accordini
CORSO STATISTICA - LIVELLO INTERMEDIO
Credits: 2.5
Language: English
Teaching Activities: Free choice
DOING INTERVIEWS IN QUALITATIVE RESEARCH
Credits: 2
Language: English
Teacher: Chiara Sita'
PROGETTAZIONE E CONDUZIONE DI FOCUS GROUP
Credits: 2
Language: Italian
Teacher: Alessia Maria Aurora Bevilacqua
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
LA POESIA ITALIANA ALL'ESTERO
Credits: 1
Language: Italian
Teacher: Massimo Natale
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
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
Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model (2024/2025)
Teacher
Referent
Credits
1.5
Language
English - Inglese
Class attendance
Free Choice
Location
VERONA
Learning objectives
The course aims to provide the theoretical and practical tools for the analysis of survival data in human populations and the associated risk factors, i.e. skills in the field of epidemiology, biostatistics and computer science applied to the analysis of biomedical data (programming syntax of a statistical software).
The course is structured in theoretical and practical lessons in the computer lab (12h) on the use of a statistical software (STATA) for the analysis of survival data. The teaching material (slides of the theoretical lessons, STATA files used for the practical lessons) is made available to the students on the e-learning web page of the course (Moodle platform).
Prerequisites and basic notions
The course requires basic knowledge of descriptive statistics, inferential statistics and probability theory. There are no preparatory courses.
Program
- General concepts of survival analysis: endpoint, survival time, survival function, hazard function.
- Univariable analysis: Kaplan-Meier estimator, median survival time, Mantel-Haenszel test.
- Multivariable analysis: Cox regression model.
Bibliography
Didactic methods
The course is structured in theoretical and practical lessons in the computer lab (12 hours) on the use of a statistical software (STATA) for the analysis of survival data. The teaching material (slides of the theoretical lessons, STATA files used for the practical lessons) is made available to the students on the e-learning web page of the course (Moodle platform).
Zoom link to the lessons: https://univr.zoom.us/j/99413156579
Learning assessment procedures
There is no exam test. Attendance at all lessons is required to acquire course credits.
Assessment
There is no exam test.
Criteria for the composition of the final grade
There is no exam test.
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Monday 09 June 2025 14:00 - 18:00 Duration: 4:00 AM |
Istituti Biologici Blocco A - Biblioteca Meneghetti - Informatica Biologici [ - ] | Simone Accordini | Link Zoom alla lezione: https://univr.zoom.us/j/99413156579 |
|
Tuesday 10 June 2025 14:00 - 18:00 Duration: 4:00 AM |
Istituti Biologici Blocco A - Biblioteca Meneghetti - Informatica Biologici [ - ] | Simone Accordini | Link Zoom alla lezione: https://univr.zoom.us/j/99413156579 |
|
Wednesday 11 June 2025 14:00 - 18:00 Duration: 4:00 AM |
Istituti Biologici Blocco A - Biblioteca Meneghetti - Informatica Biologici [ - ] | Simone Accordini | Link Zoom alla lezione: https://univr.zoom.us/j/99413156579 |
