# FISICA APPLICATA STATISTICA MEDICA ED INFORMATICA

11 CFU - 1° Semester

### Teaching Staff

ALESSANDRO RIDOLFO - Module FISICA APPLICATA - FIS/07 - 5 CFU
MASSIMO COSTANZO - Module STATISTICS - MED/01 - 3 CFU
MARIO MASSIMILIANO SALFI - Module Computer science - INF/01 - 3 CFU

## Learning Objectives

• STATISTICS

Method of teaching course:
Lectures, active participation of students through questions, preparation of a questionnaire for data collection and subsequent data collection and exercises.

• Computer science

At the end of the course, the student will learn the fundamental concepts of computer science, the encoding of information, the architecture of a computer, the operating systems and software applications. He will also possess a global knowledge on the internet and computer networks, on the theory of databases (Access), on applications of informatics in healthcare contest, as well as practical knowledge on the use of an operative system and of the suite "Microsoft Office" (Word, Excel).

## Course Structure

• STATISTICS

VALUTATION: Writing and oral exam

• Computer science

Lessons ed exercitation in classroom, assignment and correction of homeworks.

n.b. 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.

## Detailed Course Content

• STATISTICS

1.Brief introduction to epistemology of knowledge
2. Scientific use
3. Types of measurement scales: nominal, ordinal, interval and ratio scales
4. Representation of data in graphs and tables
5. Central indicators, variability indicators, asymmetry and kurtosis
6. Probability, sum and product principle
7. Probability application
8. Diagnostic tests: sensitivity, specificity, predictive values
9. Relative risk and odds ratio
10. Probability distributions: binomial, Poisson and normal
11. Standardized Gaussian curve
12. Inference: central limit theorem, sample distribution of the mean and standard error
13. Confidence interval for the mean and variance
14. Hypothesis test: null and alternative hypotheses
15. Significance tests between two groups: Student t test for dependent and independent groups
16. Contingency tables and chi square test
17. Brief description of linear correlation and regression

• Computer science

1. Introduction to computer science
2. Encoding and representation of information
3. Architecture of computer
4. Operating system and software application
5. Computer networks and the internet
6. Hypertext and HTML code
7. Network security and malware
8. Introduction to databases
9. Elements of medical informatics
10. Word processors: Microsoft Word
12. Databases: Microsoft Access

## Textbook Information

• STATISTICS

Daniel W Biostatistica EdiSES Napoli 1996 pp 736

• Computer science

- Luca Mari, Giacomo Buonanno, Donatella Sciuto - Informatica e cultura dell'informazione (seconda edizione), McGraw-Hill.
- Teacher’s slides (see on http://www.dmi.unict.it/salfi/informaticaortottica.htm)
- Any European Computer Driver Licence book

Open in PDF format Versione in italiano