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

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
7
B
MED/42 ,MED/50
7
B/C
MED/25 ,MED/50 ,M-FIL/03 ,SPS/08
6
B
IUS/01 ,IUS/14 ,MED/42
12
B
MED/28 ,MED/33 ,MED/50
2
E
L-LIN/12

2° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
9
B
SECS-P/08 ,SECS-P/10
11
B
BIO/11 ,ING-INF/06 ,MED/01
8
B
M-PED/01 ,M-PED/03 ,M-PSI/01
10
B
BIO/12 ,MED/31 ,MED/36 ,MED/49 ,MED/50
Final exam
7
E
-
ModulesCreditsTAFSSD
7
B
MED/42 ,MED/50
7
B/C
MED/25 ,MED/50 ,M-FIL/03 ,SPS/08
6
B
IUS/01 ,IUS/14 ,MED/42
12
B
MED/28 ,MED/33 ,MED/50
2
E
L-LIN/12
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
9
B
SECS-P/08 ,SECS-P/10
11
B
BIO/11 ,ING-INF/06 ,MED/01
8
B
M-PED/01 ,M-PED/03 ,M-PSI/01
10
B
BIO/12 ,MED/31 ,MED/36 ,MED/49 ,MED/50
Final exam
7
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
6
D
-
Between the years: 1°- 2°
5
F
MED/50
Between the years: 1°- 2°
30
B
MED/50

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

Health research methodology - STATISTICA PER LA RICERCA SPERIMENTALE  (2023/2024)

Teaching code

4S010656

Teacher

Francesca Locatelli

Credits

2

Language

Italian

Scientific Disciplinary Sector (SSD)

MED/01 - MEDICAL STATISTICS

Period

1° SEMESTRE LM PROF. SAN. 23-24 dal Oct 2, 2023 al Mar 28, 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

The design of research:
- clinical studies
- observational studies.
Fundamentals of descriptive statistics:
- measurement process and measurement scales; validity, accuracy and precision of a measuring instrument; absolute, relative and cumulative frequencies; cumulative frequency polygon; one and two-way frequency tables.
- Measures of position and dispersion: mode; percentiles and median; simple and weighted arithmetic mean;
range; interquartile range; deviance, variance and standard deviation; coefficient of variation.
Fundamentals to probability theory:
- definition of probability; axiomatic theory of probabilities; rules of probability calculation; independent and conditional probabilities; Bernoulli and Gauss distributions.
- Diagnostic and screening test: sensitivity and specificity.
An introduction to statistical inference:
- Distribution of sample means and central limit theorem
- point estimate;
- confidence interval;
- statistical test;
- T test for two samples;
- Chi square test;
- Correlation and linear regression;
- Analysis of Variance (ANOVA) for more than two samples.

Bibliography

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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

Frontal teaching and exercises.

Learning assessment procedures

The assessment of learning outcomes includes a written test with open-ended questions and multiple choice questions. The objective of the test is to verify knowledge of all the topics covered. The final evaluation is expressed in 30ths.

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 evaluation criterion is based on the ability to perform simple statistical problems and on the understanding of statistical and epidemiological results.

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