Physics informatics and statistics

A.Y. 2020/2021
8
Max ECTS
80
Overall hours
SSD
FIS/07 INF/01 MED/01
Language
Italian
Learning objectives
Undefined
Expected learning outcomes
Undefined
Course syllabus and organization

Single session

Assessment methods and criteria:
If the exams cannot be performed in university classrooms, due to sanitary reasons, oral exams will be carried out in Teams.
Teaching methods:
During the evolving sanitary situation there could be changes in teaching methods, the changes will be promptly communicated through the Ariel website of "Corso di Laurea in Dietistica" and through the teaching Ariel website.
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:
o Differences between Software and Hardware
o What is an Operative System
o What is an Application Software
o Versions of the Windows O.S.
o Functions of Microsoft Office 2007-2010-2013-2016

Microsoft Microsoft Excel overview
Work sheet
Enter/remove/rename the work sheets
Creation of tables with:
o 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:
o Set headers to footers
o Print preview, Borders Settings, Settings of the heading in the footer section
Adjust Dimensions for rows and columns
Functions:
o SUM
o AVERAGE
o MAX
o 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