Physical Science, Informatics, Statistics and Radiation Protection
A.Y. 2020/2021
Learning objectives
- Understand the methodological process of physics as basis of scientific learning;
- To know the fundamental principles of physics and their implications in the biomedical field, with particular reference to some topics of relevance for the propaedeuticity for the subsequent courses: forces and their balance, work and energy, conservation principles, mechanics of fluids, surface tension, principles of thermodynamics, basic concepts of electricity and magnetism, radiation and radiation protection;
- Ability to solve simple physics problems on topics more directly related to the biomedical field and give quantitative evaluations of the phenomena analyzed;
- Being trained on the organization of a hospital information system, on the CRS-SISS regional project and on Microsoft Excel.
- To know the statistical reasoning with particular reference to the disciplines that use biomedical laboratory techniques;
- To acquire the necessary knowledge to inform subjects undergoing diagnostic imaging or radio-treatment on the risks associated with the use of radiation and on practices aimed at preventing unnecessary exposure to radiation.
- To provide the basis of descriptive and inferential statistics
- To know the fundamental principles of physics and their implications in the biomedical field, with particular reference to some topics of relevance for the propaedeuticity for the subsequent courses: forces and their balance, work and energy, conservation principles, mechanics of fluids, surface tension, principles of thermodynamics, basic concepts of electricity and magnetism, radiation and radiation protection;
- Ability to solve simple physics problems on topics more directly related to the biomedical field and give quantitative evaluations of the phenomena analyzed;
- Being trained on the organization of a hospital information system, on the CRS-SISS regional project and on Microsoft Excel.
- To know the statistical reasoning with particular reference to the disciplines that use biomedical laboratory techniques;
- To acquire the necessary knowledge to inform subjects undergoing diagnostic imaging or radio-treatment on the risks associated with the use of radiation and on practices aimed at preventing unnecessary exposure to radiation.
- To provide the basis of descriptive and inferential statistics
Expected learning outcomes
. Knowledge of the basic laws of classical physics and solve physics exercises on the topics covered, of varying difficulty
. Ability to give quantitative evaluations and estimates of physical phenomena analyzed and understanding of what are the physical quantities involved in metabolic processes
. Application of the scientific method for the resolution of problems requiring high reasoning skills
. Ability to work with Microsoft Excel software 2010 and newest versions
Ability to build up, read frequency tables and interpret key statistical indicators and perform simple data analysis.
. Ability to perform a simple linear regression with statistical software R and to interpret its output.
. Ability to give quantitative evaluations and estimates of physical phenomena analyzed and understanding of what are the physical quantities involved in metabolic processes
. Application of the scientific method for the resolution of problems requiring high reasoning skills
. Ability to work with Microsoft Excel software 2010 and newest versions
Ability to build up, read frequency tables and interpret key statistical indicators and perform simple data analysis.
. Ability to perform a simple linear regression with statistical software R and to interpret its output.
Lesson period: year
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
Applied physics
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Lessons: 40 hours
Diagnostic imaging and radiotherapy
MED/36 - IMAGING AND RADIOTHERAPY - University credits: 1
Lessons: 10 hours
Informatics
INF/01 - INFORMATICS - University credits: 1
Lessons: 10 hours
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 4
Lessons: 40 hours