Method of teaching course:
Lectures, active participation of students through questions, preparation of a questionnaire for data collection and subsequent data collection and exercises.
The aim of the course is to provide a set of scientific-disciplinary skills related to the design and implementation of information processing systems, as well as their use in various application contexts.
The main technologies related to information systems and the theoretical bases on information processing systems will be provided with particular attention to system architectures, modern operating systems and computer networks. The course will also focus on spreadsheets with a particular focus on their use for solving exercises related to the world of medical statistics.
VALUTATION: Writing and oral exam
Lectures
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
Fundamentals of Computer Science, operating system and computer network
Spreadsheets
Lantieri, B.L., Risso D., Ravera G. (revisione Lama N., Signoriello G.) (2007). Elementi di Statistica Medica. Milano: McGraw-Hill.
Chiari, Mosci, Naldi, Evidence based clinical practice - La pratica clinico assistenziale basata su prove di efficacia - McGraw-Hill
Costanzo M. R, (2019). “Statistica sperimentale per le professioni sanitarie”, Createspace by Amazon
Dennis Curtin, Kim Foley, Kunal Sen, Cathy Morin, Agostino Marengo e Alessandro Pagan; INFORMATICA DI BASE 6/ED CON CONNECT E EBOOK; VI ed., McGraw-Hill.