Physics and Statistics

- Fundamental and derived physical quantities, scalar and vector quantities, physical laws and dimensional analysis.
- Point kinematics: position, velocity, acceleration. Tangential and centripetal acceleration. Uniform straight motion, uniformly accelerated motion.
- 2D kinematics: circular motion, motion of a projectile, range. Application: long jump.
- Principles of Newton dynamics. Normal force, static and dynamic friction, gravitational force.
- Conservation of momentum, impulse theorem. Applications: air-bag, boxing glove.
- Work-kinetic energy theorem, conservative and non-conservative forces, potential energy, conservation of mechanical energy. Centre of mass. Applications: high jump and Fosbury flop.
- Elastic forces, mass-spring, oscillating systems, simple and physical pendulum. Elastic potential energy. Application: simple model of human locomotion based on physical pendulum.
- Stress and strain (normal, shear, torsion, bending), Hooke's laws and elastic moduli. Mechanical properties of bone and tendons. Application: bone fracture under compression.
- Rigid body mechanics: torque, roto-translational equilibrium, levers. Applications: levers in the human body, equilibrium of joints.
- Ideal and non-ideal gases. Equation of state for a perfect gas. Dalton's law. Henry's law. Ideal fluid statics: Pascal's law, Stevin's law, Archimedes' principle. Application: diving.
- Fluid dynamics: continuity, Bernoulli's law. Viscosity, Poiseuille's law, hydrodynamic resistance. Turbulence, Reynolds' number. Application: measuring blood pressure with a sphygmomanometer.
- Electric charge, field and potential. Electric current and propagation of electric signals in the human body. Muscles and electro-stimulation- Fundamental and derived physical quantities, scalar and vector quantities, physical laws and dimensional analysis.
- Point kinematics: position, velocity, acceleration. Tangential and centripetal acceleration. Uniform straight motion, uniformly accelerated motion.
- 2D kinematics: circular motion, motion of a projectile, range. Application: long jump.
- Principles of Newton dynamics. Normal force, static and dynamic friction, gravitational force.
- Conservation of momentum, impulse theorem. Applications: air-bag, boxing glove.
- Work-kinetic energy theorem, conservative and non-conservative forces, potential energy, conservation of mechanical energy. Centre of mass. Applications: high jump and Fosbury flop.
- Elastic forces, mass-spring, oscillating systems, simple and physical pendulum. Elastic potential energy. Application: simple model of human locomotion based on physical pendulum.
- Stress and strain (normal, shear, torsion, bending), Hooke's laws and elastic moduli. Mechanical properties of bone and tendons. Application: bone fracture under compression.
- Rigid body mechanics: torque, roto-translational equilibrium, levers. Applications: levers in the human body, equilibrium of joints.
- Ideal and non-ideal gases. Equation of state for a perfect gas. Dalton's law. Henry's law. Ideal fluid statics: Pascal's law, Stevin's law, Archimedes' principle. Application: diving.
- Fluid dynamics: continuity, Bernoulli's law. Viscosity, Poiseuille's law, hydrodynamic resistance. Turbulence, Reynolds' number. Application: measuring blood pressure with a sphygmomanometer.
- Electric charge, field and potential. Electric current and propagation of electric signals in the human body. Muscles and electro-stimulation.

Reading and listening activities are scheduled in addition to the following topics: Present simple and continuous, Past simple and continuous, Present perfect, Comparatives and superlatives, Predictions, First and second conditional, Obligations, Verb patterns, Future intentions, Used to, Present simple and Past simple passive, Present continuous for future arrangements, Phrasal verbs, Question tags.

Attendance: compulsory

Important: Students of the program Erasmus+ incoming must contact the Language Centre of the University through Informastudenti - Language Test category.

Observational Studies.
Measures in Epidemiology.
Basic statistical methods.
Statistical inference and significance.
Measures of association and risk.
Variability of estimates and measure errors.
Error, bias and inference.