The course has as its aims as to reach a scientificdisciplinary set of skills related to the design and implementation of information processing systems, as well as their management and use in different application contexts.
The course will be supplied the basics and technologies related to the different aspects of a system of information processing. Operating systems, Computers network and databases will be introduced. The usage of word processing and spreadsheet software will be explored.
Lectures
.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. Probabiloity 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: Sudent t test for dependent and independent groups
16. Contingency tables and chi square test
Brief description of linear correlation and regression
Non parametrictests
Scientific paper
1 Fundamentals of Computer Science
2 Operating system, software for information processing, organization and management

Dennis Curtin, Kim Foley, Kunal Sen, Cathy Morin, Agostino Marengo e Alessandro Pagan; INFORMATICA DI BASE 6/ED CON CONNECT E EBOOK; VI ed., McGrawHill.
Daniele Bochicchio, Stefano Mostarda; HTML 5 con CSS e Javascript; Hoepli EAN: 9788820385255