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

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:

Bachelor's degree in Dental Hygiene - 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
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45
3
E/F
L-LIN/12

2° Year  activated in the A.Y. 2015/2016

ModulesCreditsTAFSSD
4
B
MED/28 ,MED/50

3° Year  activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
Prova finale
7
E
-
ModulesCreditsTAFSSD
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45
3
E/F
L-LIN/12

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

4S000290

Credits

4

Coordinator

Giuseppe Verlato

Language

Italian

Location

VERONA

The teaching is organized as follows:

STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA

Credits

2

Period

CLID VR LEZ 3A 1S

Location

VERONA

Academic staff

Giuseppe Verlato

SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Credits

2

Period

CLID VR LEZ 3A 1S

Location

VERONA

Academic staff

Paolo Zuliani

Learning outcomes

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
The course is aimed at enabling the student to: - estimate accuracy and precision of measurements performed in the biomedical field; - properly synthetize and summarize the information collected on a series of patients; - compute the probability of a single event or several events - generalize findings from samples to the original population
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MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
This course aims to explain general concepts about how to code human readable informations in binary code. It also presents main concepts of information processing systems.

Program

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
INTRODUCTION The role of Statistics in Health Professions. DESCRIPTIVE STATISTICS Different measurement scales – Statistical variables and their presentation through frequency distributions: one-entry or double-entry tables – Measures of central tendency: mean (arithmetic, geometric, weighted), median, mode, percentiles – Measures of dispersion: range, interquartile range, sum of squares, variance (mean square), standard deviation, variation coefficient PROBABILITY Classic, frequentist, subjective interpretations of probability – Sum and product rules of probability – Independent and dependent events and conditional probability – Sensitivity, specificity, positive and negative predictive value of a diagnostic test – ROC curves – Bayes theorem and its application to differential diagnosis – Random variables – Theoretical probability distributions: normal distribution SAMPLING Populations and samples - Common sampling designs – Sampling distribution of an estimator (sample mean) STATISTICAL INFERENCE Point and interval estimates: confidence interval – Logical structure of hypothesis testing: null and alternative hypotheses; acceptance and rejecton regions; type I and type II error; power of a statistical test – Comparing a sample mean to a population mean: z-test and t-test – Comparing the means of two independent or dependent samples: unpaired or paired t-test – Comparing proportions from two independent samples: chi-square test – Correlation and regression
------------------------
MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
How to code informations: numbers, text, images and sound. Computer architecture, memory types and processors. Purpose and evolution of operating systems and data management.

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
Swinscow TDV, Campbell MJ Le basi della Statistica per scienze bio-mediche Edizioni Minerva Medica S.p.A., Torino 2004
Lantieri PB, Risso D, Ravera G Statistica medica per le professioni sanitarie (Edizione 2) McGraw-Hill, Milano 2004
Fowler J, Jarvis P, Chevannes M Statistica per le Professioni Sanitarie EdiSES srl, Napoli 2006

Examination Methods

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
The written examination will consists of about 25 multiple choice questions with 5-8 possible answers, and one exercise of Statistical Inference on a simple data set. Wrong answers to the written examination will be orally discussed with the student.
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MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
Written test.

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