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.

Study Plan

A.A. 2025/2026 A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Master's degree in Nursing and Obstetrics - Enrollment from 2026/2027

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.

1° Year

ModulesCreditsTAFSSD
5
B
MED/09 ,MED/10 ,MED/26
5
B/C
MED/09 ,MED/25 ,MED/45 ,MED/50
6
B/F
INF/01 ,MED/45 ,SECS-S/02
8
B
IUS/07 ,MED/45 ,M-PED/01 ,M-PSI/06
8
B
MED/42 ,SECS-P/02 ,SPS/07 ,SPS/09
5
B
MED/45 ,M-PSI/06 ,SECS-S/02
1
F
MED/45

2° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
13
B/C
MED/09 ,MED/38 ,MED/40 ,MED/47 ,M-PSI/08
9
B
IUS/09 ,MED/09 ,MED/45 ,SPS/07
5
B
MED/42 ,MED/45
7
B
BIO/14 ,MED/09 ,MED/45
6
D
-
2
F
-
2
E
L-LIN/12
1
F
MED/45
30
B
MED/45
Final exam
7
E
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Research Methods for Evidence-Based Practice - BIOSTATISTICA PER LA RICERCA SPERIMENTALE  (2023/2024)

Teaching code

4S000436

Teacher

Chiara Airoldi

Credits

2

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH

Period

2° SEMESTRE LM PROF. SAN. 23-24 dal Mar 29, 2024 al Sep 30, 2024.

Courses Single

Not Authorized

Lessons timetable MoodleMoodle Seminars 0

To show the organization of the course that includes this module, follow this link:  Course organization

Program

Inferential statistics: random sample and randomization, confidence intervals and hypothesis test interpretation, statistical and clinical significance.
Bivariate analysis using contingency table, measure of association and logistic model, diagnostic test and agreement between raters.
Correlation and linear models

Bibliography

Vai alla bibliografia
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.

Didactic methods

Video recordings on descriptive statistics and probability
Lectures and reading of scientific articles on the topics covered in class

Learning assessment procedures

The final learning test of the course will consist of a set of about 10 open/closed multiple choice questions. The method in which the exam will be delivered is written.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

The student's ability to read and understand the results of a scientific article will be evaluated. The scores attributed to the questions will be commensurate with their difficulty.

Exam language

Italiano

Sustainable Development Goals - SDGs

This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability