Academic Year 2020/2021 - 1° Year

11 CFU - 1° Semester

**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).

**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.*

**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

11. Spreadsheets: Microsoft Excel

12. Databases: Microsoft Access

**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