EXPERIMENTAL PHYSICAL SCIENCES
cod. 1007253

Academic year 2021/22
1° year of course - First semester
Professor responsible for the course unit
Stefano BETTATI
integrated course unit
10 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

APPLIED PHYSICS:
The course of Applied Physics has been designed to convey knowledge and understanding of basic physics principles, providing an introductory basis for other major degree fields that rely on the physical phenomenology on make frequent use of it. The course will also provide the conceptual basis for understanding a number of major technologies that with increasing frequency are used in medicine, such as: centrifuges, endoscopes, microscopes, transducers for ultrasound equipment, lasersystems, radiology equipment and NMR, radiation detectors, etc. In this sense, the module also aims to develop the students' attitude towards independent study and continuing education on the application of physical techniques to their professional expertise. As its final, but perhaps most important, goal, the course has been designed to stimulate students to become more familiar with certain common concepts, that are not always sufficiently explained in previous studies.

MEDICAL STATISTICS:
The module of Medical Statistics is designed to introduce the student to the basics of statistical thinking and its application in practice. The topics are geared to concrete problems of analysis and research and deal in particular with situations and cases drawn from the medical literature. Starting from the multitude of information from which we are faced daily, the course aims to give students the statistical tools needed to describe and analyze the data, extract useful information and make informed decisions. Special emphasis will be put on statistical reasoning, interpretation and decision-making process. We will insist more on the conceptual understanding that the mechanical calculation, especially in light of the wide range of software available for analysis. The theory will be made explicit by means of practical exercises and teaching cases.

INFORMATION ELABORATION SYSTEMS:
To provide students with knowledge, theory, basic computer technologies available today. At the end of the course the student should be able to know the basic characteristics of the computer, the network's potential with regard to the sharing of resources and data access , software for writing and data entry , accessing and updating of data on the database, filling out forms, etc. Describe the possible applications of PCs in medicine with regard to the acquisition and analysis of signals and images, the management of the department, the clinical decision support and teaching. Use the basic tools of surfing the net to find the sources nursing Critically analyze the sources nursing according to the criteria of evidence based nursing.

STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH
The course of Statistics for experimental and technological research is designed to introduce the student to the basics of statistical thinking and its application in practice. The topics are geared to concrete problems of analysis and research and deal in particular with situations and cases drawn from the medical literature. The course aims to give students the statistical tools needed to describe and analyze the data, extract useful information and make informed decisions. Particolar efforts will be put on the principles of experimental design, power analysis and sample size determination. Special emphasis will be given to statistical reasoning, interpretation and decision-making process. We will insist more on the conceptual understanding that the mechanical calculation, especially in light of the wide range of software available for analysis. The theory will be made explicit by means of practical exercises and teaching cases, therefore, the ultimate goal of the course is that the student learn "how to do" as well as knowing.

Prerequisites

None

Course unit content

The Integrated Course of Experimental Physics Sciences comprises the following Modules: Applied Physics, Medical Statistics, Information Elaboration Systems, Statistics for Experimental and Technological Research. Specific contents are reported
in the description of each single Module.

Full programme

Please refer to the contents of the individual modules

Bibliography

APPLIED PHYSICS:
1) Bersani, Bettati, Biagi, Capozzi, Feroci, Lepore, Mita, Ortalli, Roberti, Viglino, Vitturi: Fisica biomedica, Ed. Piccin Nuova Libraria (Padova).
2) Scannicchio: Fisica Biomedica, Ed. EdiSES (Napoli).
3) Celasco: Lineamenti di Fisica Medica, Ed. E.C.I.G. (Genova).
4) Lectures notes.

MEDICAL STATISTICS:
1) Lectures notes.
2) Stanton A. Glantz: Statistica per discipline Bio-mediche - ed. McGraw- Hill.
3) Sidney Siegel, N. John Castellan Jr.: - Statistica non parametrica - ed. McGraw-Hill.
4) Intenet links and resources.

INFORMATION ELABORATION SYSTEMS:
Classroom slides (uploaded on Elly after 2/3 of the course) are the reference point for the exam. Some further reference books: each book about data analysis with Excel/SPSS.

STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH:
1) Lecture notes
2) M.M. Triola, M.F. Triola : FoNdamenti di Statistica - Ed. Pearson
3) W.W. Daniel : Biostatistica – Ed. Edises
4) Internet resources and links.

Teaching methods

Lectures will be held on-site in compliance with safety standards, provided that further instructions on the ongoing health emergency are not implemented. Supporting material will be available on the specific, student-reserved platform (Elly) and will include slide presentations, audio-video aids or video-recording of the lectures.

Assessment methods and criteria

The achievement of the objectives of the Integrated Course will be
assessed through oral or written exams, or practice tests, depending on
the specificity of the objectives of each module, and will consider the capability of students to approach natural phenomena with a scientific methodology. More details are reported
in the description of each module.
The global evaluation, in thirtieths, will be based on the average of the results of single
Modules.
In case of the persistence of the health emergency, the exams will be conducted remotely, as follows:
structured written test conducted remotely (by Teams and Elly). The test consists of 30 multiple choice questions on the course contents (reference texts + documents uploaded to Elly during the course). There is no penalty for incorrect answers.
The final mark, reported directly on Esse3, will correspond to the arithmetic average of the assessments obtained in the written test.
Students with SLD / BSE must first contact Le Eli-che: support for students with disabilities, D.S.A., B.E.S. (https://sea.unipr.it/it/servizi/le-eli-che-supporto-studenti-con-disabilita-dsa-bes).

Other information

- - -

2030 agenda goals for sustainable development

- - -

Contacts

Toll-free number

800 904 084

Segreteria studenti

E. [email segreteria @unipr] (modificare link a email)
T. +39 0521 000000

Servizio per la qualità della didattica

Manager della didattica:
[titolo] [nome] [cognome]

T. +39 0521 000000
E. servizio [email @unipr] (modificare link a email)
E. del manager [email @unipr] (modificare link a email)

Presidente del corso di studio

[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)

Delegato orientamento in ingresso

[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)

Delegato orientamento in uscita

[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)

Docenti tutor

[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)

Delegati Erasmus

[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)
[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)

Referente assicurazione qualità

[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)

Tirocini formativi

E. [email @unipr] (modificare link a email)

Studenti tutor

[titolo] [nome] [cognome]
E. [email @unipr] (modificare link a email)