Learning objectives
Introduce the student to the logic of statistical thinking and its application to practical problems.
Course unit content
<p>MEDICAL STATISTICS</p>
<p>Prof. Giuseppe Pedrazzi</p>
<p>Contents:</p>
<p>Overview of combinatorial analysis: permutations, arrangements, combinations. Applications. <br />
Overview of probability analysis : probability of simple and compound events, Bayes theorem. <br />
Odds.Odds ratios. Likelihood ratios. Applications. <br />
Probability distributions : binomial distribution, Poisson distribution, normal and standard normal distribution. Tables and their use. <br />
How to summarise the data. Units of measure. Measurements of position, order and variation. Indices of central tendency, mean median, mode. Indices of variabilità, variance, standard deviation, CV. Percentile and their use. <br />
General principles of statistical inference. Sampling distribution. Hypotheses and hypothesis tests. I and II type errors. Power of a test and operating curve. Parametric test : Student t-test, an overview of analysis of variance. Non-parametric test: Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Friedman test, median test, Chi-square test, Fisher’s exact test. <br />
Linear regression and correlation. <br />
</p>
<p> </p>
<p>INFORMATICS</p>
<p>Prof. Roberto Goldoni</p>
<p>Contents:</p>
<p> <br />
Short account of historical evolution from the first inventions in the 1600s to the present <br />
Introduction to computer science and the use of computers <br />
General concepts on the operating principles <br />
Functional analysis of the structure of a processor <br />
Hardware: CPU Memory I/O devices <br />
Binary system and Boolean operators <br />
Information (text, numbers, images, sounds) and its digital representation <br />
Software <br />
Basic software and operating systems <br />
Application software <br />
Notes on programs and algorithms <br />
Computer networks <br />
Local networks and geographical networks <br />
Internet and its applications <br />
Functional classification of application programs <br />
Presentation of application programs for processing texts, presentations, spreadsheets, programs <br />
Use of the Internet network (navigation, electronic mail) <br />
General concepts on the relationship between computer science and medicine <br />
Introduction to computer security, legal references and general concepts, and a mention of the digital signature <br />
</p>
Bibliography
1) Appunti delle lezioni <br />
2) Stanton A. Glantz “Statistica per discipline Bio-mediche” ed. McGraw-Hill <br />
3) Sidney Siegel, N. John Castellan Jr. “Statistica non parametrica” ed. McGraw-Hill <br />
4) Introduzione ai sistemi informatici D. Sciuto, G. Buonanno, W. Fornaciari, L. Mari, Mc Graw Hill <br />
5) Internet resources and links
