FISICA STATISTICA E INFORMATICA - canale 2

Learning Objectives

• Statistics

  The aim of this course is to introduce the basic concepts of descriptive statistics , to learn and acquire skills in relation to the collection , the description, the interpretation and the use of probability distributions in an appropriate manner of the data collected on a collective of patients or other experimental units.
  

• Computer Technology

  The objectives of this module are focused on learning and the conception of the logic that regulates basic computing, elaboration data, structure, classification and typology of networks.

Course Structure

• Statistics

  Frontal lessons with the active participation of the students in the resolution of problems, tutorials

  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.

  The exam is normally written , consisting of multiple choice tests and/or exercises
  Learning assessment may also be carried out on line, should the conditions require it.

• Computer Technology

  Lectures

  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

  The steps of the statistical survey

  Data Types

  Experimental Drawings

  Series and sequences

  Frequency Distributions

  Frequency Distributions double and multiple

  Tables a double entry

  Relative Frequencies in tables a double entry

  Tables of line profiles, profiles column, total profiles

  Statistical Graphs

  Statistics for the description, exploration and comparison of the data: Measures of central tendency

  Measures of variability

  The concentration

  The mutability

  Measures of asymmetry

  Statistical Reports

  Correlation and Regression

  Contingency tables

  Probability: Foundations and rules

  Bayes' theorem

  Binomial distributions

  Central Limit Theorem

  Poisson distributions

  Gauss distributions

  Inferential Statistics

  Population and samples

  Estimation of the parameters: pointwise and range

  Student's t-test

  Verification of hypotheses for media and frequency

• Computer Technology
  • Information processing systems;
  • Hardware, software and their stratification;
  • Operating Systems: fundamental functions and their evolutions;
  • Bits, Bytes and numbers connected to them;
  • Database;
  • Classification, Type and Network Levels;
  • E-mail & Protocol;
  • The use of Social Media in Healthcare
  • Cybersecurity

Textbook Information

• Statistics

  Triola M. M. e Triola M. (2009), Statistica per le discipline biosanitarie, Pearson Addison Wesley, Milano.

  Notes prepared by the teacher

• Computer Technology

  Teaching Handouts