Training and Research
PhD Programme Courses/classes - 2023/2024
Arthritis and bone diseases
Credits: 2
Language: Italiano
Teacher: Davide Gatti
How to do a meta-analysis using R
Credits: 1
Language: Italiano/English
Teacher: Alessandro Mantovani
Bone specialist
Credits: 2
Language: English
Teacher: Maurizio Rossini
Experimental Hematology and Stem Cells
Credits: 1
Language: Italiano
Teacher: Mauro Krampera
Ferroptosi e malattie cardiovascolari
Credits: 0,5
Language: Italian
Teacher: Anna Maria Fratta Pasini
Pathophysiology and clinical aspects of the itch
Credits: 0,5
Language: Italiano e/o Inglese
Teacher: Giampiero Girolomoni
NAFLD & systemic complications - Translational medicine
Credits: 0,8
Language: English
Teacher: Giovanni Targher
New therapeutic strategies for inflammatory bowel diseases
Credits: 0,5
Language: Italiano
Teacher: Rachele Ciccocioppo
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
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
Teacher: Dora Renna
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Law and Economics]
Credits: 2,5
Language: English
Teacher: Emanuela Tenca
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
Teacher: Jessica Jane Nocella
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
Teacher: Silvia Velardi
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
Teacher: Monica Antonello
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
Teacher: Geltrude Daniela Vescio
ENGLISH FOR ACADEMIC WRITING SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
Teacher: Dora Renna
ENGLISH FOR ACADEMIC WRITING SKILLS [Law and Economics]
Credits: 2,5
Language: English
Teacher: Emanuela Tenca
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
Teacher: Jessica Jane Nocella
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
Teacher: Silvia Velardi
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
Teacher: Monica Antonello
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
Teacher: Geltrude Daniela Vescio
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
Teacher: Donatella Boni
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Law and Economics]
Credits: 2,5
Language: Italian
Teacher: Luisella Zocca
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Scientific Area]
Credits: 2,5
Language: Italian
Teacher: Elena Scanferla
Teaching Activities ex DM 226/2021: Statistics and Computer Sciences
INTRODUCTION TO PROBABILITY (MODULE I)
Credits: 1
Language: English
Teacher: Marco Minozzo
INTRODUCTION TO PROBABILITY (MODULE II)
Credits: 1
Language: English
Teacher: Marco Minozzo
BASIC LEVEL STATISTICS
Credits: 2,5
Language: English
INTRODUCTION TO STATISTICAL INFERENCE
Credits: 1
Language: English
Validità e affidabilità delle misure e dei test diagnostici
Credits: 0,5
Language: English
Teacher: Alessandro Marcon
BASIC LEVEL STATISTICS
Credits: 2,5
Language: Italian
Statistical analysis with R - module I
Credits: 1
Language: Italian
Teacher: Erica Secchettin
Generalized linear models: logistic regression, loglinear model, Poisson model
Credits: 2
Language: English
Teacher: Lucia Cazzoletti
Disegno dello studio nella ricerca osservazionale e sperimentale
Credits: 1,5
Language: English
Teacher: Alessandro Marcon
Calcolo della numerosità campionaria in funzione di una precisione o potenza statistica prefissata
Credits: 1
Language: English
Teacher: Giuseppe Verlato
Introduzione alla meta-analisi per la ricerca biomedica (revisione della letteratura, raccolta dei dati, costruzione del database)
Credits: 1
Language: English
Teacher: Giuseppe Verlato
Applicazioni della meta-analisi in campo epidemiologico e medico
Credits: 1
Language: Inglese
Teacher: Giuseppe Verlato
Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Credits: 1,5
Language: Inglese - English
Teacher: Simone Accordini
INTERMEDIATE STATISTICS [Recommended for Human Sciences]
Credits: 2,5
Language: English
INTERMEDIATE STATISTICS [Tutti i corsi di studio]
Credits: 2,5
Language: English
Statistical analysis with R - module II
Credits: 2
Language: Italian
Teacher: Erica Secchettin
Teaching Activities: Free choice
PROTECTING PSYCHOLOGICAL WELL-BEING IN THE PHD PROGRAM: WHAT DO WE NEED TO CONSIDER FOR BEING A GOOD SCIENTIST: BEST PRACTICE AND THE ETHICS OF SCIENCE
Credits: 1
Language: inglese
Teacher: Paola Cesari
QUANDO LA RICERCA SI FA ETICA (PERCORSO ORGANIZZATO E FINANZIATO DAL TEACHING AND LEARNING CENTER DI UNIVR)
Credits: 2
Language: Italian
Teacher: Roberta Silva
IMPARA IL MARKETING DIGITALE
Credits: 1,5
Language: English
LA COMUNICAZIONE UMANISTICA: OPPORTUNITA' E RISCHI
Credits: 1
Language: Italiano
Italian Poetry abroad
Credits: 1
Language: Italiano
Teacher: Massimo Natale
COSTRUISCI IL TUO BUSINESS MODEL CANVAS
Credits: 1,5
Language: English
APPROCCI E METODOLOGIE PARTECIPATIVE NELLA RICERCA CON GLI ATTORI DEL TERRITORIO
Credits: 1,5
Language: Italian
Teacher: Cristiana Zara
DOING INTERVIEWS IN QUALITATIVE RESEARCH
Credits: 1,5
Language: English
Teacher: Chiara Sità
IL SONNO E I SUOI DISTURBI: FOCUS SULLE PARASONNIE E I DISTURBI DEL MOVIMENTO IN SONNO
Credits: 1
Language: English
Teacher: Elena Antelmi
DIFFERENTIAL DIAGNOSIS OF DEMYELINATING DISEASES OF THE CENTRAL NERVOUS SYSTEM
Credits: 2
Language: English
Teacher: Alberto Gajofatto
IMAGING TECHNIQUES FOR BODY COMPOSITION ANALYSIS
Credits: 1
Language: English
Teacher: Carlo Zancanaro
OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE
Credits: 2
Language: English
Teacher: Alberto Scandola
THE EMPIRICAL PHENOMENOLOGICAL METHOD (EPM): THEORETICAL FOUNDATION AND EMPIRICAL APPLICATION IN EDUCATIONAL AND HEALTHCARE FIELDS
Credits: 2
Language: English
THE PATHWAY OF OXYGEN: CAUSE OF HYPOXEMIA
Credits: 1
Language: English
Teacher: Carlo Capelli
BASIC LEVEL STATISTICS (2023/2024)
Academic staff
Margherita Brondino, Elisa Menardo , Elisa Menardo
Credits
2.5
Language
English
Class attendance
Free Choice
Learning objectives
The course aims to provide the expertise that is required to perform base-level statistical analysis, both descriptive and inferential, for research purposes. The course mainly targets human sciences, also with the aid of open source statistical software (JAMOVI).
Program
1. Introduction to empirical research (measurement issues, research designs, data collection) (4 hours)
2. Introduction to statistics: Descriptive statistics and graphical representation (4 hours)
3. Null hypothesis testing, t-test, Chi-square (4 hours)
4. Correlational analysis, Simple and multiple linear regression analysis, and hierarchical regression (4 hours)
5. Exercises on all course contents (2 hours)
6. Test on acquired expertise (2 hours)
When and where
The course will be delivered via Zoom; at least 70% attendance is required.
At most 20 students will be admitted; precedence will be given to students in the Arts and Humanities area.
Calendar
4 October 2022, 9.00-13.00, Lesson 1
18 October 2022, 9.00-13.00, Lesson 2
8 November 2022, 9.00-13.00, Lesson 3
22 November 2022, 9.00-13.00, Lesson 4
29 November 2022, 9.00-11.00, Lesson 5
6 December 2022, 9.00-11.00, final test
Zoom link for all lessons https://univr.zoom.us/j/83091709903?pwd=Ymovc3RjeFlianlPMDlpdGFDYmM5dz09
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Thursday 01 February 2024 08:00 - 10:00 Duration: 2:00 AM |
To be defined | Margherita Brondino | Introduction to empirical research (measurement issues, research designs) |
|
Thursday 08 February 2024 08:00 - 10:00 Duration: 2:00 AM |
To be defined | Margherita Brondino | Introduction to empirical research (measurement issues, research designs, data collection) |
|
Thursday 07 March 2024 09:00 - 13:00 Duration: 4:00 AM |
To be defined |
Margherita Brondino
Elisa Menardo |
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES |
|
Tuesday 12 March 2024 09:00 - 13:00 Duration: 4:00 AM |
To be defined |
Margherita Brondino
Elisa Menardo |
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES |
|
Thursday 14 March 2024 09:00 - 13:00 Duration: 4:00 AM |
To be defined |
Margherita Brondino
Elisa Menardo |
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES |
|
Tuesday 19 March 2024 09:00 - 13:00 Duration: 4:00 AM |
To be defined |
Margherita Brondino
Elisa Menardo |
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES |
|
Tuesday 26 March 2024 10:00 - 11:00 Duration: 1:00 AM |
To be defined |
Margherita Brondino
Elisa Menardo |
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES |
Faculty
yuri.battaglia@univr.it
+39 045 812 6485
elena.carrara@univr.it
davide.gatti@univr.it
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.
