Research methodology: propedeutic science and basis (integrated course)

[050ME]
a.a. 2025/2026

1° Year of course - First semester

Frequency Mandatory

  • 6 CFU
  • 60 hours
  • italian
  • Trieste
  • Obbligatoria
  • Oral Exam
  • SSD FIS/07, MED/01
  • Core subjects
Curricula: PERCORSO COMUNE

Structured into the following modules:

Syllabus

PHYSICS: The educational objective of the course is to provide students with basic tools that can be used to understand and study simple physical models. Specifically, with reference to the Dublin descriptors: D1 - Knowledge and understanding: Understand the fundamental principles of solid mechanics, fluid mechanics, and electrostatic forces. D2 - Applying knowledge and understanding: Independently solve physics problems. D3 - Autonomy of judgment: Model and simplify problems encountered in relevant fields, while being aware of the limitations of these analyses. D4 - Communication skills: Describe problems and physical models using appropriate language. D5 - Learning skills: Address more specific and complex models and problems with the help of advanced texts that will be presented in subsequent courses. STATISTICS: Knowledge and understanding: Know the basic elements of descriptive statistics and probability calculation, useful tools for the fisiotherapy. Applying knowledge and understanding: being able to apply basic notions of Statistics and Probability to initial processing of data within the context of the fisiotherapy, with the use of spreadsheets and/or software statisticians, too. Making judgements: being able to critically read simple biomedical statistics and relative measures of uncertainty. Communication skills: being able to express oneself appropriately on the basic topics of Statistics and Probability on biomedical-health applications. Learning skills: being able to grasp the salient elements of new experiments, especially as regards the methodology of data collection and related analysis. All this in view of the advanced course which will be held in the 3rd year.

Basic knowledge of mathematics.

Physics: Principles of Mechanics, Fluidodynamics, Electrostatics and Electric Currents Physical quantities and their measurement Scalar and vector quantities Vectors and vector operations Kinematics of a particle Dynamics of a particle Introduction to rigid body dynamics Statics Conditions for translational and rotational equilibrium Work, energy, and power Fluids: statics and dynamics Ideal and viscous liquids Electric forces Capacitors, series, and parallel capacitors Direct electric current Direct current circuits, resistances in series and parallel Charging and discharging of a capacitor, RC circuits STATISTICS: Statistics: a useful tool for health professions. Descriptive statistics: graphs / tables, measures of central tendency, measures of dispersion. Bio-medical examples and applications. Introduction to probability theory, definitions, the conditional probability. The diagnostic tests. Examples and exercises with bio-medical data. Gaussian populations. Elements of statistical inference and applications in rehabilitation: estimates and tests. The regression line. Examples and exercises with Excel

PHYSICS: F. Borsa A. Lascialfari A.M. Gueli Principi di fisica per indirizzo biomedico e farmaceutico Edises III Edizione (2020), 392 pagine ISBN 9788836230204 https://www.edises.it/universitario/lascialfari-principi-di-fisica-iii-ed.html STATISTICS: D.F. Polit, C.T. Beck, Fondamenti di ricerca infermieristica, Mc Graw Hill; M.Bland: STATISTICA MEDICA - Apogeo G. Norman, D. Streiner (2015), Biostatistica – quello che avreste voluto sapere, Casa Editrice Ambrosiana; M. Pagano: BIOSTATISTICA - Gnocchi

PHYSICS:
Physical Quantities and Their Measurement

Physical quantities
Dimensions of a physical quantity
Indicative values of length, mass, time
Measurement systems
Significant figures
Scalar and vector quantities
Vectors
Operations with vectors
Kinematics of a Particle

Position, displacement, velocity, acceleration
Uniform linear motion
Uniformly accelerated motion
Uniform circular motion
Curvilinear motion (general overview)
Harmonic motion
Dynamics

Forces
Laws of dynamics
Gravitational force
Frictional force
Viscous friction and sedimentation
Centrifugal force and centrifugation
Introduction to rigid body dynamics
Statics

Moment of a force relative to a point
Conditions for translational and rotational equilibrium
Center of mass
Levers
Examples of statics in the human body
Work, Energy, and Power

Forces and force fields
Work
Energy
Kinetic energy theorem
Conservative forces and potential energy
Equilibrium of a mechanical system
Power and efficiency
Physiological work and muscle power
Fluids

Pressure
Pascal's principle
Stevin's law
Archimedes' principle
Surface tension and capillarity phenomena
Continuity equation
Bernoulli's theorem (with proof) and its applications
Viscosity
Poiseuille's law
Hydrodynamics of blood circulation
Cardiac work and power
Laplace's law and the equilibrium of blood vessels
Laws and equation of state of ideal gases
Electric Forces

Electric charge
Coulomb's force
Electric field
Capacitance of a conductor
Capacitors, series, and parallel capacitors
Direct electric current
Ohm's laws
Direct current circuits
Resistances in series and parallel
Charging and discharging a capacitor, RC circuit

STATISTICS:
Introduction: Mathematics and Statistics for Rehabilitation. Examples.

Introduction to basic elements of descriptive statistics.
Different types of data.
Examples of different types of graphs.
Charts and tables; Central trend measures: mean, median, mode and their critical use;
Dispersion measures: range, variance, SD, quartiles, percentiles and their critical use.
Examples and exercises.
Boxplot: definition, examples and exercises.

The issue of health uncertainty and introduction to probability.
Examples

Contingency tables
Probability definitions; the conditional probability. Examples.
Diagnostic tests: sensitivity, specificity, predictive values and their prevalence.
Examples and exercises

Gaussian distribution: properties and applications.

Relative Risk and Odds Ratio. Examples from scientific articles.

First steps in Inferential Statistics: estimation and hypothesis test. Examples

lectures and exercises, on data sets with statistical softwares, too

--

Carrying out of partial tests, the results of which will be published using the "Partial tests" tool provided by the Esse3 platform, and of a single final exam in which the Commission will verify the overall results of the integrated teaching and the related verbalization.

PHYSICS:
Problem-solving (written exam) and possibly an oral exam.

The exam format is explained at the beginning of the course and is also available in the course introduction presentation. In brief, the written exam consists of 4 problems to be solved in 2 hours. Each correctly solved problem is awarded 8/30. Partially correct solutions receive a fraction of these 8/30. A correct and complete solution to all 4 problems guarantees 32/30, corresponding to the maximum grade of 30 with honors. To pass the written exam, students must achieve at least 18/30, for example by correctly answering two questions and attempting one of the remaining questions. After receiving the grade for the written exam, students may request an oral exam, which can adjust the written exam grade by up to +6/-3 thirtieths. Access to the oral exam is granted with a minimum score of 15/30 on the written exam. The oral exam is optional and is granted upon the student's request.

STATISTICS:
written test: 10 open-ended questions of theory and exercises; 3 points for each correct answer (maximum 30)

This course explores topics closely related to one or more goals of the United Nations 2030 Agenda for Sustainable Development (SDGs)

icona 3 icona  4