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
METHODS OF EXPERIMENTAL DATA ANALYSIS AND REPORT WITH MATLAB, A GENTLE INTRODUCTION (2023/2024)
Teacher
Referent
Credits
2.5
Language
English
Class attendance
Free Choice
Location
VERONA
Program
Matlab is a numerical computing environment and high-level programming language. In the context of biomedical research, Matlab can be used to automate a wide variety of tasks, including record keeping, data analysis, and report generation.
Matlab favors scripting, i.e., writing in a text file a sequence of commands that can be executed reliably and consistently. Used properly, this method can be orders of magnitude more efficient and error-proof than interactive sessions with the most common computing platforms (e.g., Excel, SPSS, etc.) A well-tested script can be seamlessly run against any number of datasets and applied to similar experimental situations. Importantly, the scripts themselves represent accurate documentation of the performed analyses.
While a relatively steep learning curve is inevitable, especially in the absence of anyc omputer programming background, Matlab can be mastered in small, incremental steps.
This mini course is intended as a general introduction to the concept of automated data analysis and report. The Matlab interface
and the fundamentals of the scripting language will be presented first. A small set of common data analysis problems will then be tackled in the Matlab environment.
Please note that the available time is not sufficient to provide a detailed, in-depth knowledge of the language. My goal is to demystify the technology and provide insight into what can be accomplished and what the main hurdles are. Further training will be required to become fully proficient.
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Thursday 02 May 2024 14:30 - 16:30 Duration: 2:30 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
|
Tuesday 07 May 2024 14:30 - 16:30 Duration: 2:00 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
|
Friday 10 May 2024 14:30 - 16:30 Duration: 2:00 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
|
Tuesday 14 May 2024 14:30 - 16:30 Duration: 2:00 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
|
Friday 24 May 2024 14:30 - 16:30 Duration: 2:00 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
|
Tuesday 28 May 2024 14:30 - 16:30 Duration: 2:00 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
|
Monday 17 June 2024 14:30 - 16:30 Duration: 2:00 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
|
Friday 21 June 2024 14:30 - 16:30 Duration: 2:00 AM |
https://univr.zoom.us/j/92638650019 | Giuseppe Bertini | Methods of experimental data analysis and report with MATLAB, a gentle introduction |
Faculty
yuri.battaglia@univr.it
+39 045 812 6485
elena.carrara@univr.it
davide.gatti@univr.it
PhD students
No people are present. 40° Ciclo not started.
Loading...
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.
