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First Semester 
Teaching style
Lingua Insegnamento

Informazioni aggiuntive

Course Curriculum CFU Length(h)


The student will be able to acquire, process and interpret the data that originate from professional activities by means of descriptive statistical methods. He will be able to proceed with the collection of statistical data and the elaboration of a systematic study of the same, both for the purpose of improving his professional activity and for research purposes.
The student will be able to use the main IT tools in order to systematize, represent and analyze the data of his interest, both in the context of his daily activity and for participation in research groups.
Acquire the basic knowledge on the foundations of kinematics, dynamics, fluid statics and dynamics, basic electromagnetism and a small introduction to oscillations, waves.
The student will have to acquire the ability to select the most appropriate methods of quantitative and / or qualitative analysis to favor the process of analyzing statistical data.
You must be able to use the main IT and technological techniques for the processing of information, demonstrating skills in the management of information and IT systems
Finally, he / she will have to acquire the necessary skills to be able to use software and tools suitable for both data collection and analysis, representing them adequately and interpreting them correctly through basic statistical techniques and simple widely used software.
Learn how to obtain a solution of simple physical problems as a procedure to develope and not simply as a memorized task to recall. The final goal is to solve a problem starting from a qualitative analysis classifying it on the basis of structural characteristics rather than on superficial aspects.
The student will learn to identify, collect, evaluate and analyze data according to the most common descriptive statistics techniques. The bases of calculation and processing of the data presented in the course aim to provide the ability to collect and interpret the information deemed useful for determining autonomous and autonomous problem solving lines.
The student will learn to evaluate the correct physical observables and the relative magnitude orders of the commen physical phenomena and to judge if the obtained data are reasoable with respect to the studied phenomenon.

Through the direct interaction with the teacher, the student will be led to acquire language and knowledge capable of effectively discussing the most common statistical surveys.
The student learn how to how to simplify complex problems in their essential terms and how to explain in the correct way what are the physical laws and the observables involved in the studied physical phenomena.
The student will develop his learning skills through the consultation of statistical databases and the use of elementary applications so that the knowledge imparted during the course and critically correlated with each other, can be applied independently both in the professional field and in the continuation of his own path of study. Education.
The notions learned on the theoretical level will then be transported to the practical one thanks to the use of software (Excel) widely used in healthcare and public and private offices. Thanks to its user friendly interface, the chosen program provides a wide range of tools that allow the student to build an electronic "space" starting from a matrix of elementary data (insertion and storage) and carry out the descriptive analysis.
The student will develope a methodology of study and analysis that will allow you to interprete and analyze simple problems in classical physics that will be encounter through their studies.
Furthermore the student


Elements of numerical calculus. Notions of elementary algebra. Basic knowledge of the spreadsheet
Elementary mathematics and physics from high school. The knowledge of very basic elements of calculus/mathematicall analisys are useful but not mandatory, because the mathematical tools are presented during the course


Theoretical lessons and practical exercises (1 CFU + 2 CFU)

- The conceptual and organizational context of reference: health and healthcare
- he sources of variability
- Types of data and design of the experiments
- Representing variability: simple and double entry tables, graphs
- Exploratory data analysis: frequency distributions, measures of centrality, dispersion and position, rates and proportions
- Descriptive statistics: mean, mode, median, variability indices.
- Population and sample: elements of statistical inference

- The electronic spreadsheet: General overview of the application and its potential; what is an electronic spreadsheet and what are the main operations that can be performed; Cells and Basic Operations.
- Formatting and Printing of Electronic Sheets. Simple operations such as filters, sorting, etc.
- Descriptive statistics using the spreadsheet: simple operations: pivot tables, percentages, graphs



Scientific Methodology: General concepts. Scientific hypothesis, conjectures, scientific theories, models,.

Introduction to Physics: Physics quantities and observables. Measurement units. Vectors and scalars. Vector operations.

Elementary Kinematics and Dynamics: Kinematics and forces. Average velocity and instantaneous velocity; acceleration. One dimensional motion. Newton laws. Frciction ad elastic forces. Gravitational force.
Work and energy. Kinetic energy. Conservative forces; potential energy. Mechanical energy conservation.
Impulse and linear momentum. Equilibrium of rigid bodies.

Fluids: Pressure and density. Statics and dynamics of ideal fluids Real and ideal fluids: differences. Bernoulli’s Theorem and it’s applications in biomedical fields.

Thermodynamics: Temperature and heat as energy exchange. Thermal equilibrium; thermometers. Perfect gas and absolute temperature. Thermal capacity and specific heat. First and Secon Principle of Thermodynamics and applications. Entropy.

Electromagnetism: Electric charge and electric field.. Electrical potential. Electric courrent.
Electric capacity and capacitors. Simple continous current circuits. MAgnetism and magnetic phenomena. Electromagnetic induction.

Waves: Propagation of waves. Wave equation. Dispersion; phase and group velocity. Principle of superposition. Transverse and longitudinal waves. Sound waves. Speed of sound. Sound standing waves. Interference. Doppler effect.

Teaching Methods

The course will take place through lectures with the use of IT tools and various classroom supports (video-projections and blackboard). At the request of the students, any exercises on specific topics can also be organized online in synchronous mode
The course structure is based on lectures and small exercise sessions. During the lectures I will illustrate repeatidly the application of that methodology through the solution of simple physical problems each lecture.

In accordance with what is indicated in the Manifesto of Studies for the AY 2020-2021 (page 12): "Teaching will be delivered simultaneously both face to face and online, thus outlining a mixed teaching that can be enjoyed in university classrooms but at the same time also at a distance. At the beginning of the semester, the student will opt for face-to-face or remote teaching, the choice will be binding for the entire semester. If the number of students exceeds the capacity of the classrooms, determined on the basis of government provisions on health matters for the purpose of combating the Covid-19 pandemic, access to the educational facilities will be regulated through a shift system that will be communicated in due time to the interested students".

Verification of learning

On-going tests will be carried out and the final exam of the course is based on the evaluation of a written or oral test.
Written test: the student will have to solve a test consisting of multiple choice questions (15 questions) that also involve the realization of simple calculations , and from 4 to 6 simple exercises on several arguments explained (kinematics, dynamics, fluids fluids, electromagnetism, waves).
Oral exam: the student will have to answer some questions (a maximum of 3, typically 2) relating to the entire program.

In both cases the final grade is expressed out of thirty. The test is passed if at least the grade of 18/30 is achieved. Passing the written test is essential to access the oral test.
Knowledge of the topics of the course, the ability to plan and implement simple data analysis protocols, familiarity with the IT tools used during the course are assessed.
Finally, the ability to express, the use of appropriate terminology, the ability to synthesize and connect between different areas of statistics applied to the health sector are assessed.

The final grade takes into account:

Quality of knowledge, skills, competences possessed and / or manifested:
a) appropriateness, correctness and congruence of knowledge
b) appropriateness, correctness and congruence of skills
c) appropriateness, correctness and congruence of skills

Exhibition mode:
a) Expressive capacity;
b) Appropriate use of the specific language of the discipline;
c) Logical skills and consequentiality in the connection of contents;
e) Ability to connect different topics by finding common points and establishing a coherent general design, that is, taking care of the structure, organization and logical connections of the expository discourse;
f) Ability to synthesize.

The judgment can be:
a) Sufficient (from 18 to 20).
b) Quite Good (21 to 23).
c) Good (from 24 to 26).
d) Very Good (from 27 to 29).
e) Excellent (30).
f) Outstanding (30/30 cum laued).


• Marc M. Triola, M. D. Mario F. Triola, Fondamenti di Statistica per le discipline biomediche”, ed. Pearson
• Lecture notes and other didactic material provided by the teacher
D. Scannicchio, E. Giroletti “Elementi di Fisica Biomedica”, Edises, Napoli

More Information

Luigi Minerba (Medical Statistics) e-mail: (tel.: 070-51092617)
Department of Medical Sciences and Public Health, Cittadella Universitaria, Monserrato,
He receives by appointment by e-mail (; at his studio at San Giovanni di Dio, or via TEAMS.
Prof. Roberto Cardia
Department of Physics - University of Cagliari
Cittadella Universitaria - 09042 Monserrato (Ca), ITALY

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