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
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
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
Markers of chronic alcohol abuse: analytical and interpretative aspects
Credits: 1
Language: English
Teacher: Federica Bortolotti
Surface Metrology with optical techniques
Credits: 1
Language: English
Teacher: Claudia Daffara
virtopsy: general aspects and new trends
Credits: 0,5
Language: English
Teacher: Francesco Ausania
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
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 Sità
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
Python programming language (2023/2024)
Teacher
Referent
Credits
2.5
Language
Inglese
Class attendance
Free Choice
Learning objectives
The course aims to provide students with the basic skills for programming a computer to solve problems using the Python language. At the end of the course the students:
• will know the Python data types and data structures;
• will know the core programming constructs (sequence, selection, iteration) and how to implement them in Python;
• will know how to use functions and organize a Python program according to the procedural programming paradigm;
• will be able to write programs that use external Python modules
Prerequisites and basic notions
None.
Program
Introduction to computer programming.
Introduction to Python.
Variables, Expressions and Instructions.
Functions.
Conditional statements and Loops.
Strings Manipulation.
Data Structures: Lists, Dictionaries, Tuples.
File Management with Standard libraries.
User defined functions.
Advanced Libraries, examples are:
• numpy
• scipy
• matplotlib
• pandas
Bibliography
When and where
Learning by doing. Learning by examples. Practical exercises solved interactively in class.
Zoom link
Learning assessment procedures
Multiple choises and open choises quiz.
Assessment
Knowledge of main programming elements. Being able to select the correct data type for a representing the desidered information.
Beinng able to organize the code in functions.
Being able to understand the meaning of a code snippet in Python.
Being able to use Python external library functions.
Criteria for the composition of the final grade
Passed. Not Passed.
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Tuesday 07 May 2024 11:30 - 13:30 Duration: 2:00 AM |
Istituti Biologici Blocco A - Biblioteca Meneghetti - B Istituti Biologici [ - ] | Vittoria Cozza | Python programming language: Introduction to computer programming. Introduction to Python. |
|
Tuesday 14 May 2024 11:30 - 13:30 Duration: 2:00 AM |
Istituti Biologici Blocco A - Biblioteca Meneghetti - E Istituti Biologici [ - ] | Vittoria Cozza | Python programming language: Simple Data Types. Managing Input and Output by examples. |
|
Tuesday 28 May 2024 11:30 - 13:30 Duration: 2:00 AM |
Istituti Biologici Blocco A - Biblioteca Meneghetti - F Istituti Biologici [ - ] | Vittoria Cozza | Python programming language: Conditional Statements and Loop. Practical examples. |
|
Tuesday 04 June 2024 11:30 - 13:30 Duration: 2:00 AM |
Istituti Biologici Blocco A - Biblioteca Meneghetti - E Istituti Biologici [ - ] | Vittoria Cozza | Python programming language: While and For Loop. The usage of break. Strings and functions for Strings. Practical examples. |
|
Tuesday 11 June 2024 11:30 - 13:30 Duration: 2:00 AM |
Ca' Vignal 1 - C [90 - terra] | Vittoria Cozza | Python Programming Language: User defined functions; Function prototype and function call. Local and global variables. Practical examples. |
|
Tuesday 18 June 2024 11:30 - 13:30 Duration: 3:00 AM |
Ca' Vignal - Piramide - Verde [2 - 0] | Vittoria Cozza | Python Programming Language: Complex datatypes as tuples, lists and dictionaries. Introduction to the usage of matplotlib by examples. Managing files and directories: Processing an input text file. Usage of wordcloud library. |
|
Tuesday 25 June 2024 10:30 - 13:30 Duration: 3:00 AM |
Ca' Vignal - Piramide - Verde [2 - 0] | Vittoria Cozza | Python Programming Language: Practical example with free textual files or csv files. Numpy and Pandas. |
Faculty
0458127455
chiara.nardon@univr.it
mimimorena.seggio@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.
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 |
