Speech and Language Therapy

Activity type

Scienze propedeutiche, Altre attività quali l'informatica, attività seminariali ecc.

SSD

INF/01, INF/01

Year

3rd year

Semester

2nd semester

CFU

2

Hours distribution

20 classroom hours

Lecturers

DOMENICO RAIMONDO
DOMENICO RAIMONDO

Activity type

Scienze propedeutiche

SSD

MED/01

Year

3rd year

Semester

2nd semester

CFU

2

Hours distribution

20 classroom hours

Lecturers

DOMENICO RAIMONDO
DOMENICO RAIMONDO

Activity type

Scienze della prevenzione dei servizi sanitari

SSD

MED/42

Year

3rd year

Semester

2nd semester

CFU

1

Hours distribution

10 classroom hours

Lecturers

ROBERTA NOEMI POCINO
ROBERTA NOEMI POCINO

Activity type

Scienze teorico-pratiche della logopedia

SSD

MED/50

Year

3rd year

Semester

2nd semester

CFU

2

Hours distribution

20 classroom hours

Lecturers

MARIA CRISTINA ACCONCIA
Eleonora Pasqua

At the end of the course the student should know topics of descriptive statistics, elements of probability, statistical methods for qualitative and quantitative data, multivariate analysis, sensitivity, specificity, predictive value.

Module:
Becoming familiar with a spreadsheet is the first step toward gaining advanced skills in using this powerful tool. Getting started means understanding the basics: how to create and save a file, insert and edit data, and navigate between cells and sheets. The student is therefore expected to learn to use essential functions such as basic mathematical formulas, copy-paste, and cell formatting to improve the readability of data.
The final objective is for the student to achieve independent and effective use of the worksheet. This means not only being able to perform specific tasks without assistance, but also knowing how to resolve unexpected problems, optimize processes, and customize the worksheet to fit the specific needs of a project or analysis. In essence, mastering a spreadsheet makes Excel a versatile resource for organizing, analyzing and presenting data.


Module:
The student is expected to understand and manage basic synthetic indicators useful for the description of biomedical phenomena, as well as the ability to identify elementary methodologies for analyzing biological data. At the end of the module, the student will have the basic theoretical and methodological knowledge necessary for such analyzes and for understanding some types of scientific research results in the biomedical field.


Module:
Al termine del corso, lo studente possiede conoscenze di base di epidemiologia, esaminare pubblicazioni scientifiche e individuare soluzioni specifiche per promuovere la salute individuale e pubblica utilizzando le migliori evidenze scientifiche disponibili.


Module:
N/D

Module:

no prerequisites are required



Module:
no prerequisites are required


Module:
Knowledge of the English language


Module:
N/D

Module:

• L’INTERFACCIA UTENTE IN EXCEL E LE OPERAZIONI PIÙ COMUNI
• FOGLI E CARTELLE DI LAVORO, INSERIRE I DATI
• DARE IL GIUSTO FORMATO AI DATI: Valuta e Contabilità, Numero, Percentuale
• FORMATTARE LE CELLE: Allineamento, Carattere, Bordi, Riempimento
• INSERIRE FORMULE E FUNZIONI: trascinare formule e funzioni, riferimenti assoluti e relativi, formule e funzioni con celle di fogli diversi, le funzioni più comuni: la funzione MEDIA, le funzioni MIN e MAX
• LE FUNZIONI LOGICHE: funzioni E, O e NON; la funzione SE, funzioni annidate.
• LE FUNZIONI DI CONTEGGIO: funzioni CONTA.VALORI, CONTA.NUMERI, CONTA.VUOTE, CONTA.SE
• ORDINARE E FILTRARE
• I GRAFICI: creare, modificare e formattare il grafico
• CARICARE DATI ESTERNI



Module:
- ELEMENTS OF DESCRIPTIVE STATISTICS: classification and types of data: nominal, ordinal, interval, and ratio variables.
- MEASURES OF CENTRAL TENDENCY AND DISPERSION: mean (arithmetic, geometric), median, mode. Measures of variability (range, variance, standard deviation, coefficient of variation, quartiles, percentiles, interquartile range).
REPRESENTATION OF DATA using appropriate charts: bar charts, histograms, box plots.
FREQUENCY DISTRIBUTIONS. Number of classes. Cumulative frequency. Frequency classes. Bar charts, histograms, frequency polygons, cumulative frequency ogive. Normal distribution. Standardized scores.
STATISTICAL TESTS. Sample and population; sampling error; use of probability in statistical tests; null and experimental hypothesis; p-value and statistical significance; parametric and non-parametric tests; Type I and Type II errors; normal distribution and standard normal distribution; statistical power: a priori power calculation; confidence intervals; Analysis of variance (ANOVA);


Module:
Course program:

1. Evidence Based Medicine
2. Epidemiology
3. Frequency measurements
4. Systematic reviews
5. Meta-analysis
6. Observational studies
7. Experimental studies
8. Rehabilitation research methodology
9. Evaluation of health services


Module:
N/D

Module:
Material provided by the teacher (slides presented in classroom, exercises proposed during the lessons)


Module:
- Material provided by the teacher (slides presented in classroom, exercises proposed during the lessons)



Module:
N/D
Module:
N/D

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N/D
Module:
N/D
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N/D
Module:
N/D

Module:
The Course is structured in 10 hours of frontal teaching, divided into lessons of 2, 4 or 5 hours according to the academic calendar.


Module:
The Course is structured in 10 hours of frontal teaching, divided into lessons of 2, 4 or 5 hours according to the academic calendar.


Module:
The course will be carried out with frontal lessons and with interactive teaching and presentation of case studies which will give students the opportunity to deal with data and scientific literature.


Module:
N/D

Module:
Attendance of the module is mandatory


Module:
Mandatory course attendance


Module:
N/D
Module:
N/D

Module:
To pass the exam the student must obtain not less than 18/30 in each module. The student must demonstrate that he has acquired sufficient knowledge of the topics covered during the course.


Module:
The assessment involves carrying out exercises that are related to the program carried out and/or through multiple and/or open-ended questions



Module:
The exam can be taken in written form.
The written exam consists of multiple choice questions with the possibility of integrating the grade by using the oral test at the student's request.


Module:
N/D

Module:
Please refer to the material provided via the classroom platform. There are standard exercises and related implementation solutions


Module:
The student can refer to the material provided via the Classroom platform


Module:
N/D
Module:
N/D

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N/D
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N/D
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N/D
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N/D