STATISTICS:
Knowledge and understanding: know the basic elements of Mathematics necessary for Statistics and Acoustic Physics. Know basic elements of descriptive statistics and calculation of probabilities, useful tools for the profession of speech therapist.

Ability to apply knowledge and understanding: be able to apply basic notions of Mathematics, Statistics and Probability to first elaborations on data within the context of the profession of Speech Therapist.

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 topics, especially in view of the next course
of Research Methodology and Statistical Inference.


PHYSICS ACOUSTICS:
KNOWLEDGE AND UNDERSTANDING
At the end of the course the student will demonstrate the basic knowledge and the ability to understand the key concepts and fundamental principles of acoustic physics and their interaction with the human auditory and phonatory system.
ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
At the end of the course the student will be able to apply the knowledge acquired for subsequent applications in the field of speech therapy.
AUTONOMY OF JUDGMENT
At the end of the course, the student will be able to recognize the basic concepts of acoustic physics and will be able to apply them in the analysis of cases of speech therapy interest.
COMMUNICATION SKILLS
At the end of the course the student will be able to express themselves with language properties and exposure confidence on the basic themes of acoustic physics.
LEARNING ABILITY
At the end of the course the student will be able to apply the knowledge and skills described in this syllabus for subsequent applications in the field of speech therapy.

Basics of mathematics and physics

STATISTICS:
simple mathematics review, in particular trigonometry elements, the concept of derivative of a function (preparatory to the course of Acoustics Physics);
basic elements of medical statistics:
descriptive statistics,
probability and uncertainty in health care.
Examples in practice and in bio-medical research
First elements on Statistical Inference: estimates
working on data sets with spreadsheets

PHYSICAL ACOUSTICS:
Vibrations and waves:
Harmonic oscillator, damped and forced. Wave equation. Wave propagation in elastic strings: transverse and longitudinal waves. Standing and progressive waves. Normal modes and resonance.
Physical Acoustics:
Sound waves and speed of sound. Intensity and pressure. Frequency and Decibel. Reflection, refraction and diffraction. Interference and superposition principle. Doppler effect. Harmonic analysis and sound spectra.
Elements of Physioacoustic:
Physics of acoustic perception. Morphology and physiology of auditive apparatus. Loudness, pitch and timbre. The human voice; formants.

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 PHYSICAL ACOUSTICS: The link on Moodle to download materials will be provided during the first lesson

STATISTICS:
Introduction: Mathematics and Statistics for Speech therapy. Examples.
First elements if trigonometry; The function y = A + B * sen (Cx + D);
the concept of derivative and first applications;
the definition of logarithm. 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.

Notes on statistical inference: the transition from a sample to the population.

Estimations: point, interval and the confidence intervals

Exercises.


PHYSICS ACOUSTICS:
Vibrations and waves:
Harmonic oscillator, damped and forced. Wave equation. Wave propagation in elastic strings: transverse and longitudinal waves. Standing and progressive waves. Normal modes and resonance.
Physical Acoustics:
Sound waves and speed of sound. Intensity and pressure. Frequency and Decibel. Reflection, refraction and diffraction. Interference and superposition principle. Doppler effect. Harmonic analysis and sound spectra.
Elements of Physioacoustic:
Physics of acoustic perception. Morphology and physiology of auditive apparatus. Loudness, pitch and timbre. The human voice; formants.

Class lectures consisting of the presentation of the theoretical contents and of their possible applications, also using multimedia applications.

Detailed information will be provided on the course's Moodle site, presented during the first lecture.

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.

STATISTICS:
written test: 10 open-ended questions of theory and exercises (3 points for each correct answer, 0 for wrong or blank answers)

PHYSIC ACOUSTICS:
Periodic questions to students to check learning status, conducted on Wooclap platform.

The written exam, lasting up to 45 minutes, generally consists of multiple-choice questions and open-ended questions. The questions have different weight on the final grade, depending on their level of difficulty. For this module, the grade is based on a 30-point scale, and students must obtain a sufficient grade (the minimum is 18).

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