Physics informatics and statistics

A.Y. 2021/2022
8
Max ECTS
80
Overall hours
SSD
FIS/07 INF/01 MED/01
Language
Italian
Learning objectives
The teaching aims to provide students:
1. Understanding the methodological process of physics as basis of the scientific learning;
2. 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;
3. Ability to solve simple physics problems on topics more directly related to the biomedical field and ability to give quantitative evaluations of the phenomena analyzed;
4. To provide the basis of descriptive and inferential statistics
5. Being trained on the organization of a hospital information system, on the CRS-SISS regional project and on Microsoft Excel.
Expected learning outcomes
1. Knowledge of the basic laws of classical physics and solve physics exercises on the topics covered, of varying difficulty
2. Ability to give quantitative evaluations and estimates of physical phenomena analyzed and understanding of which are the physical quantities involved in the metabolic processes
3. Application of the scientific method for the resolution of problems requiring high reasoning skills
4. Ability to work with Microsoft Excel software 2010 and newest versions
5. Ability to build up and read frequency tables and to interpret the key statistical indicators and to perform simple data analysis.
6. Ability to perform a simple linear regression with statistical software R and to interpret its output.
Course syllabus and organization

Single session

More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have acquired basic knowledge of physical chemistry and mathematics, verified by the entry test.
Assessment methods and Criteria
A single written test divided into several parts: open-ended questions, multiple-choice questions.
For the diagnostic imaging and radiotherapy modulus, the exam is written and consists of 30 multiple choice questions (1 right, 3 wrong). You get 1 point for each correct answer and 0 points for each answer not given. To pass the test, the student must correctly answer at least 18 questions.
After correction by the professors, the results are communicated to the students through the unimi portal.
Applied physics
Course syllabus
Elements of mathematical analysis applied to the treatment of physics Laws of motion as effect of applied forces
Equilibrium of an extended body subjected to both forces and constraints Work of a force and energy
Energy conservation
Static and dynamics of fluids Viscosity and motion of viscous fluids Phenomena of interfacial tension Gas Status Laws
Temperature as a status indicator
Heat as a form of disordered energy, energy balances

Thermodynamic transformations Entropy, thermodynamic potentials
Electrostatic, electric field and potential, capacity Electric current and Ohm's laws
Electromagnetic waves and radiation spectrum
Teaching methods
Frontal lessons and classroom exercises, supported by projector and blackboard.
Teaching Resources
Although the course of Applied Physics does not refer to any particular text, it is considered to be a good text, sufficiently clear and explicit, the following:
F. BORSA, A. LASCIALFARI- Principi di fisica - Edises
Informatics
Course syllabus
Information and informatic system of a Hospital Firm. The CRS-SISS
Basic informatics definitions:
Differences between Software and Hardware
What is an Operative System
What is an Application Software
Versions of the Windows O.S.
Functions of Microsoft Office 2007-2010-2013-2016
Microsoft Microsoft Excel overview Work sheet
Enter/remove/rename the work sheets Creation of tables with:
Numbers, Dates, Texts
Set a format to the values entered in the work sheet Enter correctly Microsoft Excel formulas
Priority of the 4 arithmetic operations Enter Rows and Columns
Print preview and settings Display mode in Page Layout:
Set headers to footers
Print preview, Borders Settings, Settings of the heading in the footer section Adjust Dimensions for rows and columns
Functions:
SUM
AVERAGE
MAX
MIN
Use of the function Copy & Paste with formulas Regulations and Filters
Conditional formatting Validation Data
Multiple formulas on Microsoft Excel work sheets Charts
Resolutoin of circular references
Teaching methods
Frontal lessons and classroom exercises, supported by PC.
Teaching Resources
Informatica per le professioni infermieristiche e ostetriche - Terzoni, Destrebecq - Editore Ulrico Hoepli Milano
Step by step Microsoft Excel 2013 - Mondadori Informatica
Medical statistics
Course syllabus
Descriptive statistics elements: statistical character, individual, universe and sample. Characteristics of the statistical sample. Frequency distributions (absolute and relative). Number of classes. Cumulative frequency. Frequency tables and graphs.
Synthesis indicators. Central trend indexes (average, median, trend). Variability indices (range, deviance, variance, standard deviation, coefficient of variation). Form indexes.
Elements of probability. Axioms. Conditional probability. Bayes' theorem. Random variables. Binomial distribution. Gaussian distribution, t-student. Chi-squared test
Distribution of sample means. Statistical test concept. Null and alternative hypothesis, significance and errors.
Parametric tests: t-student. Normality test. Nonparametric tests: Chi-squared test. Elements of survival analysis: Kaplan Meier method.
Teaching methods
Frontal lessons and classroom exercises, supported by projector and blackboard.
Teaching Resources
Lessons' slides.
Applied physics
FIS/07 - APPLIED PHYSICS - University credits: 4
Lessons: 40 hours
Informatics
INF/01 - INFORMATICS - University credits: 1
Lessons: 10 hours
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 3
Lessons: 30 hours