STATISTICS APPLIED TO MEDICINE

Degree course: 
Corso di First cycle degree in Professional education
Academic year when starting the degree: 
2017/2018
Year: 
1
Academic year in which the course will be held: 
2017/2018
Course type: 
Basic compulsory subjects
Credits: 
2
Period: 
First Semester
Standard lectures hours: 
16
Detail of lecture’s hours: 
Lesson (16 hours)
Requirements: 

FISICA
Knowledge of Physics, statistics and computer science of high school
STATISTICA
Knowledge of Physics, statistics and computer science of high school
INFORMATICA
Knowledge of Physics, statistics and computer science of high school

Assessment: 
Voto Finale

FISICA
To give basic information about physics and applications in medicine and biology
STATISTICA
The main aim of the course is to illustrate the basic elements needed to critically read and correctly interpret the results of quantitative medical research.

Descriptive and inferential statistics are framed into the scientific knowledge process. We read the “results” section of a scientific article on a study topic of interest for the students.
INFORMATICA
Learning, aimed at achieving operability of autonomous mode using a PC and the main programs of personal productivity.

FISICA
Mathematics:
Physical quantities and measurement units. Experimental errors. Accuracy and precision of measurements.
Reference systems and displacement. Average velocity and instantaneous velocity. Average acceleration and instantaneous acceleration gravity acceleration. One- dimensional motion. Uniformly accelerated linear motion.
Vectors and scalar quantities.
Two - dimensional motion.
Forces and vector quantities. Gravitational force, elastic force, contact force and friction force.
Motion in a circle.
Newton ‘s law of gravitation..
Work and energy. The definition of work. Power. Kinetic energy. The work-energy theorem. Potential energy. The law of conservation of the mechanical energy.

Linear momentum. The centre of the mass.
Torque. Rotational work and kinetic energy. Rotation inertia. Angular momentum and Conservation.
Static equilibrium. The first condition for equilibrium. The second condition for equilibrium. The center of gravity.
Mechanical properties of matter. Traction, compression, Young modulus.
Characterization of materials. Density. Pressure in fluids. Pascal’s principle. Hydrostatic pressure. Barometric pressure Archimedes’s principle.
Flow of fluids. Bernoulli’s equation. Viscosity.
Thermometers and temperature scales. The ideal gas law. Diagram pressure –volume.
The concept of heat. Thermal energy. Heat unit specific heat capacity. Vaporization and boiling. Heat of fusion and melting. Calorimeter. Thermal expansion. Transfer of heat: conduction, convection, radiation.
State variables. The first law of thermodynamics. The work done by a system. The second law of thermodynamics
Atom and the source of charge. Forces between charges. Insulators and conductors. Coulomb’s law. The electric field . The electric field of a point charge. The electric field in various systems.
Electric potential energy. Potential difference. Equipotentials.
Electric current. .Ohm’s law. Resistivity and its temperature dependence. Power and electric heating.
Magnetic field. The magnetic field of an electric current. .The force on a current in a magnetic field. Forces on moving charges.
Magnetic flux. Faraday’s law.
Nuclear magnetic resonance.
The atomic nucleus. Atomic number and mass number. Radioactivity. Exponential decay.
Ionizing radiation and interaction with matter.
Dosimetry of ionizing radiation.
Physics of ionizing radiation in diagnostic imaging and therapy
Physics of ultrasound.
Radiography, Fluoroscopy, CT. MRI, sonography, doppler.
Quality indexes of radiological imaging.
Radioprotection.
STATISTICA
The process of scientific knowledge: how to generate and verify a hypothesis. Why statistics is so important for health professionals?
Descriptive statistics: definition of variable, frequencies
Data synthesis: measures of position, variability, symmetry
Probability and known distributions: binomial and normal distributions
Population and sample. Elements of sampling theory: definition, simple random sample, clustering, stratification. Central limit theorem and probability distribution for the sample mean
Elements of statistical inference: general theory for hypothesis test
Test on the mean of one population, test on the mean of two populations
Confidence intervals
INFORMATICA
MS Office
Interface features
Basic operation
MS Word
Character and Paragraph Formatting
Styles
A structured document
Inserting illustrations
Tables
Hyperlinks
Bookmarks
MS Excel
Formatting
Auto format
Style
Definition of names
Formulas
Use of references
Basic functions (MAX, MIN, AVERAGE, SUM, IF)
Graphs
Smart Art

FISICA
D. Scannicchio
Elementi di Fisica Biomedica
EdiSES s.r.l. Napoli
P. R. Kesten, D.L. Tauck
Fondamenti di Fisica
Casa Editrice Zanichelli
D. Scannicchio
Fisica Biomedica
EdiSES s.r.l. Napoli
G. Coppini, S. Diciotti, G. Valli
Bioimmagni
Pàtron Editore
STATISTICA
Lectures on e-learning platform
INFORMATICA