Training and Research
PhD Programme Courses/classes - 2023/2024
Optical Imaging technique: principles and applications
Credits: 1
Language: English
Teacher: Federico Boschi
Nanomaterials and green chemistry: from synthesis to applications
Credits: 1
Language: English
Teacher: Adolfo Speghini
Tecniche di deposizione a film sottile per biomateriali, applicazioni biomediche e energia solare
Credits: 1,5
Language: English
Teacher: Alessandro Romeo
Protein crystallization and structure solving: classical and novel methods
Credits: 1,5
Language: English
Teacher: Massimiliano Perduca
Forensic toxicology and analitics
Credits: 6
Language: English
Teacher: Rossella Gottardo
Erasmus + seminars
Credits: 5,3
Language: English
Forensic Genetics
Credits: 4
Language: English
Teacher: Stefania Turrina
An introduction to NMR spectroscopy for the study of biomacromolecules
Credits: 1
Language: English
Teacher: Mariapina D'Onofrio
Drug Delivery System and Multimodal Therapeutic Strategies: A Quantitative Approach
Credits: 1
Language: Italian
Teacher: Mimimorena Seggio
Tecniche di immagine per l'analisi della composizione corporea
Credits: 1
Language: English
Teacher: Carlo Zancanaro
Ultrastructural and cytochemical techniques for tracking nanoparticles in cells and tissues
Credits: 1
Language: English
Teacher: Manuela Malatesta
Markers of chronic alcohol abuse: analytical and interpretative aspects
Credits: 1
Language: English
Teacher: Federica Bortolotti
Sintesi, caratterizzazione e applicazioni di materiali luminescenti nanostrutturati
Credits: 1
Language: English
Teacher: Francesco Enrichi
Inibitori e stabilizzatori delle interazioni proteina-proteina
Credits: 0,5
Language: English
Teacher: Francesca Munari
Application of multimodal imaging techniques in the study of the skeletal muscle
Credits: 0,5
Language: English
Teacher: Barbara Cisterna
Biophysical Methods for the Analysis of Protein-Ligand interactions
Credits: 1
Language: English
Teacher: Filippo Favretto
virtopsy: general aspects and new trends
Credits: 0,5
Language: English
Teacher: Francesco Ausania
Computational modeling of inorganic nanostructures for energy and catalysis
Credits: 1
Language: English
Teacher: Eros Radicchi
Engineering photosynthesis to enhance productivity
Credits: 1
Language: English
Teacher: Stefano Cazzaniga
Luminescent lanthanide complexes for bioimaging and sensing applications
Credits: 0,5
Language: English
Teacher: Fabio Piccinelli
Magnetic Resonance Imaging for the characterization of the central and peripheral nervous system
Credits: 1,5
Language: English
Teacher: Pietro Bontempi
Surface Metrology with optical techniques
Credits: 1
Language: English
Teacher: Claudia Daffara
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).
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, 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: 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 PRESENTATION SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
Teacher: Monica Antonello
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 [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
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 2 nd 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
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
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: English
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
LA COMUNICAZIONE UMANISTICA: OPPORTUNITA' E RISCHI
Credits: 1
Language: Italiano
Italian Poetry abroad
Credits: 1
Language: Italiano
Teacher: Massimo Natale
BUSINESS MODEL CANVAS PILL
Credits: 1,5
Language: English
IMPARA IL MARKETING DIGITALE
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 Sita'
DIFFERENTIAL DIAGNOSIS OF DEMYELINATING DISEASES OF THE CENTRAL NERVOUS SYSTEM
Credits: 2
Language: English
Teacher: Alberto Gajofatto
IL SONNO E I SUOI DISTURBI: FOCUS SULLE PARASONNIE E I DISTURBI DEL MOVIMENTO IN SONNO
Credits: 1
Language: English
Teacher: Elena Antelmi
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
INTRODUCTION TO PROBABILITY (MODULE I) (2023/2024)
Teacher
Referent
Credits
1
Language
English
Class attendance
Free Choice
Learning objectives
The purpose of the modules is to explain, at an intermediate level, the basis of probability theory and some of its more relevant theoretical features.
The topics will be illustrated and explained through many examples.
Students are expected to acquire the language and the concepts needed to better understand the probabilistic models and the statistical techniques used in their subjects.
Prerequisites and basic notions
There are no particular learning requirements. Students should have already been introduced (though at an elementary level) to probability and statistics. Students should also have some confidence in elementary set theory and mathematical calculus.
Program
- Random experiments, events, event trees.
- Algebras and sigma-algebras, axiomatic definition of probability, probability spaces, properties of probability.
- Conditional probability, Bayes theorem, stochastic independence for events.
- Random variables, measurability, cumulative distribution function.
Bibliography
Didactic methods
Lessons will be delivered via Zoom; recordings will be made available by the lecturer. Attendance is not required, but passing a written test is required to obtain credits.
WHEN/WHERE
4 October 2023, 14:00-17:00
6 October 2023, 9:00-12:00
18 October 2023, 14:00-16:00
Learning assessment procedures
The final assessment will be through a written paper. Alternatively there will be a Moodle QUIZ.
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Wednesday 04 October 2023 14:00 - 17:00 Duration: 3:00 AM |
https://moodledidattica.univr.it/course/view.php?id=15631 | Marco Minozzo | Introduction to probability (module I) |
|
Friday 06 October 2023 09:00 - 12:00 Duration: 3:00 AM |
https://moodledidattica.univr.it/course/view.php?id=15631 | Marco Minozzo | Introduction to probability (module I) |
|
Wednesday 18 October 2023 14:00 - 16:00 Duration: 2:00 AM |
https://moodledidattica.univr.it/course/view.php?id=15631 | Marco Minozzo | Introduction to probability (module I) |
PhD students
carlotta.casini@univr.it
erik.murador@univr.it
giada.remoli@univr.it
rebecca.rigosa@univr.it
andrea.sperotto@univr.it
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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.
Documents
| Title | Info File |
|---|---|
Dottorandi: linee guida generali (2023/2024)
|
pdf, it, 111 KB, 26/02/24 |
|
PhD students: general guidelines (2023/2024)
|
pdf, en, 127 KB, 26/02/24 |
