EXPERIMENTAL PHYSICAL SCIENCES
Learning outcomes of the course unit
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.
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.
Course contents summary
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.
Please refer to the contents of the individual modules
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.
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.
Please refer to the descriptions reported in the individual modules
Assessment methods and criteria
Please refer to the indications reported in the individual modules