Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
4
B
MED/06 ,MED/11 ,MED/13 ,MED/15
4
A/B
BIO/14 ,MED/46

3° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
6
A/B
IUS/07 ,MED/42 ,M-PSI/01 ,SECS-P/07 ,SPS/07
Final exam
7
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
4
B
MED/06 ,MED/11 ,MED/13 ,MED/15
4
A/B
BIO/14 ,MED/46

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S000326

Credits

4

Coordinator

Alessandro Marcon

Language

Italian

Courses Single

Not Authorized

The teaching is organized as follows:

Learning objectives

MODULO EPIDEMIOLOGIA CLINICA E SPERIMENTALE: The course aims to introduce the principles of quantitative research in the biomedical field, providing knowledge and skills in epidemiological and biostatistical methodology to assess the frequency of diseases in human populations and their risk factors; recognize the observational/experimental study design best suited to a specific scientific question; understand and be able to apply inferential reasoning to different biomedical research contexts.
MODULO Application of technologies for genomic and image analysis of oncological material: The aim of the course is providing the student with knowledge on analysis methods to determine and classify the clinical impact of driver genetic alterations in different types of cancer samples by massively parallel sequencing, and their varification/validation by image analysis of tissue slides stained by immunohistochemistry, immune fluorescence, or in situ hybridization.

Prerequisites and basic notions

Knowledge of descriptive statistics and probability obtained during the first year of the degree course.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Criteria for the composition of the final grade

The final grade, expressed in thirtieths, is calculated as the arithmetic mean of the exam tests for the two modules of the course.