Scienze fisiche, statistiche e radioprotezione

A.Y. 2026/2027
4
Max ECTS
40
Overall hours
SSD
MEDS-22/A MEDS-24/A PHYS-06/A
Language
Italian
Learning objectives
The course aims to provide students with the basic knowledge of physics, statistics, and radiation protection, required as a foundation for future professional practice. In particular, the learning objectives of the course are:
- To acquire knowledge of the laws that describe physical phenomena relating to mechanics
- To acquire knowledge of the main descriptive statistical methods used in biomedical and clinical settings
- Knowledge of elements and regulations relating to radiation protection.
Expected learning outcomes
At the end of the course the student will be able to describe and apply the basic principles of applied physics, with particular attention to mechanics, ; to describe data sets and to interpret the results of the most common descriptive statistical analyses, including the most commonly used measures of association.
Single course

This course can be attended as a single course.

Course syllabus and organization

Single session

Prerequisites for admission
No further or different prerequisite is required than those necessary for the admission to the course of study
Assessment methods and Criteria
The exam is written and consists of multiple sets of multiple-choice questions and/or simple exercises covering the modules
that make up the integrated course, with each set tailored to the specific type of module. Each answer is assigned a score. The
exam is considered passed with a score ≥ 18 in the questions of each module. The final grade is calculated as the average of
the scores obtained in each module, weighted according to the corresponding course credits.
For Applied Physics: questions and simple exercises with open-ended or multiple-choice answers. Answers must always be justified. The use of a calculator is allowed. The exam lasts 40 minutes. The results will be published on the module's MyAriel website
For Medical Statistics The exam consists of open-ended and multiple-choice questions, as well as simple exercises. The use of a calculator is allowed. The duration of the exam is 30 minutes. Results will be published on the course module's MyAriel website.
Fisica applicata
Course syllabus
- symbols, powers, orders of magnitude
- variables and functions of variables, charts, Cartesian coordinates
- vector, polar coordinates, trigonometric functions
General concepts:
- physical quantities and their dimension in the international system
Mechanics concepts:
- space, time, speed, acceleration (medium and snapshots)
- forces, laws of dynamics, mass, density
- special forces: weight, contact force, elastic force, friction, tension
- generated motions: uniform, straight and circular motion, accelerated motion, parabolic motion, varied motion, harmonic motion.
- work, power, kinetic energy, kinetic energy theorem
- conservative forces, potential energy, expression of potential energy for weight and elastic force
- mechanical energy conservation law, mechanical energy balance.
- Material point systems, center of mass. Impulsive interactions, impulse theorem and momentum.
- Torque. Equilibrium for extended bodies. Levers
Teaching methods
Frontal lectures. Lectures will also include guided completion of short exercises on the course topics.
Teaching Resources
The slides of the lectures will be made available on the Ariel website of the course
Statistica medica
Course syllabus
Overview of the main types of scientific studies.
Data: methods of collection, qualitative and quantitative variables and their characteristics.
Construction and interpretation of frequency tables.
The concept of probability and risk. An application of probability: measures of diagnostic accuracy (sensitivity and specificity).
Construction and interpretation of different types of graphs: pie charts, bar charts, histograms, scatter plots.
Measures of central tendency: mode, median, quartiles, mean.
Measures of dispersion: range, interquartile range, standard deviation, coefficient of variation.
Measurement and interpretation of the statistical association between two quantitative variables: correlation and linear regression.
Measurement and interpretation of the statistical association between two qualitative variables: risk difference, relative risk,and odds ratio
Teaching methods
Interactive lectures combined with in-class exercises.
Lecture slides will be made available on the module's MyAriel website
Teaching Resources
Lantieri, B.L., Risso D., Ravera G. (revisione Lama N., Signoriello G.) (2007). Elementi di Statistica Medica. Milano: McGraw-Hill
Diagnostica per immagini e radioterapia
Course syllabus
Physical bases, principles of radiobiology
Radiation protection of the operator
Radiodiagnostics: indications and contraindications to diagnostic and interventional procedures; radiation protection of patients
Nuclear Medicine: indications and contraindications to diagnostic and therapeutic procedures; radiation protection of patients
Radiotherapy: indications and contraindications to therapeutic procedures; radiation protection of patients
Teaching methods
Lectures accompanied by class exercises.
The slides are available in Ariel
Teaching Resources
Medicina Nucleare. TECNICHE - METODOLOGIE - APPLICAZIONI per studenti e medici di medicina generale. A. Cuocolo, L. Mansi, M. Salvatore, (Editori) Editore: Idelson-Gnocchi, Anno: 2010
Orecchia R, Lucignani G, Tosi G. Elementi di radiobiologia clinica e radioprotezione Editore: Archimedica Editori, Torino. Anno: 2001
Modules or teaching units
Diagnostica per immagini e radioterapia
MEDS-22/A - Imaging and Radiotherapy - University credits: 1
Lessons: 10 hours
Professor: Conte Giorgio
Shifts:
Turno
Professor: Conte Giorgio

Fisica applicata
PHYS-06/A - Physics for Life Sciences, Environment, and Cultural Heritage - University credits: 2
Lessons: 20 hours
Professor: Del Favero Elena
Shifts:
Turno
Professor: Del Favero Elena

Statistica medica
MEDS-24/A - Medical Statistics - University credits: 1
Lessons: 10 hours
Professor: Casazza Giovanni
Shifts:
Turno
Professor: Casazza Giovanni