FISICA E STATISTICA

Learning Objectives

• Physics

  The course is aimed to provide the student with the basic elements of some physics topics and to describe the methods of physics applied to biological data. At the end of the course, the student will be able to schematize a phenomenon in terms of physical quantities. The student will apply the scientific method to the study of natural phenomena and will be able to critically evaluate similarities and differences between physical systems.

• Medical statistics

  To develop statistical and methodological abilities applied to the analysis of biological/biomedical events. To develop abilities to apply the principal tools of statistical data collection, measurement and analysis.

Course Structure

• Physics

  The teaching method is based on lectures and exercises. Should the circumstances require online or blended teaching, appropriate modifications to what is hereby stated may be introduced, in order to achieve the main objectives of the course.
  

• Medical statistics

  The course includes lectures in which continuous interaction with students and exercises in the multimedia classroom is encouraged, using specific statistical software, with examples to apply the
  knowledge acquired during the course.

  Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

  Learning assessment may also be carried out on line, should the conditions require it.

Detailed Course Content

• Physics

  Course program

  Introductory part: Physical quantities. SI System of Units. Scalar and vector quantities. Sum and difference between vectors. Scalar product and vector product. Versors. Notes on the theory of errors in experimental measurements. Casual errors and systematic errors.

  Elements of Mechanics: Motion in one dimension. Position vector and displacement vector. Uniform rectilinear motion. Average velocity and instantaneous velocity. Average acceleration and instantaneous acceleration. Uniformly accelerated motion. Circular motion. Concept of mass and density. Force concept. Principles of dynamics. Momentum and conservation of momentum. Gravitational Force and Weight Force. Hooke's law. Work done by a force. Power. Definition of Kinetic Energy and Potential Energy. Kinetic energy theorem. Conservative and non-conservative forces. Conservation of mechanical energy. Examples and hints of applications to biomechanics.

  Elements of Fluidostatics and Fluid Dynamics: Stationary motion and continuity equation. Stevin's law. Non-viscous fluids: Bernoulli's theorem. Viscous fluids: laminar and turbulent flow. Cohesion forces and surface tension in liquids.

  Elements of Thermology: Laws of ideal and real gases. Temperature and heat. Mechanisms of heat transmission: convection, conduction, radiation. Phase transitions.

  Elements of Electromagnetism: Properties of electric charges. Insulators and Conductors. Coulomb's law. The Vector Electric Field. Electric potential. Capacity. Electric current. Ohm's law. The magnetic field vector. Magnetic force.

  Wave phenomena in biological systems: Notes on the mechanism of hearing. Vision: the eye as an optical system. Notes on the mechanism of vision. The spectrum of electromagnetic waves and related biological applications.

• Medical statistics

  The biological variables. Monovariate data synthesis measures. Bivariate analysis. Probability and statistical inference.

Textbook Information

• Physics

  - Introduzione alla Fisica, MIELE – PISANTI – Edises

  - Elementi di Fisica, RAGOZZINO - Edises

• Medical statistics

  Biostatistica - M.Pagano, K.Gauvreau - II edizione italiana, Idelson-Gnocchi