FISICA STATISTICA E INFORMATICA - canale 2

Learning Objectives

• Medical Statistics

  The course will provide basic elements to let the student be able to describe individual and population based biological events through syntetic indeces. Moreover, the student should be able to identify and use elementary metodologies of analysis of numerical data

• 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

• Medical Statistics

  Classroom lecturers using blackboard and tracing papers

• Computer Technology

  Lectures

Detailed Course Content

• Medical Statistics

  1. Measurers: numerical, ordinal and nominal

  2. Descriptive measurers: central tendency and variability

  3. Probability and Bayes Theorem

  4. Probability distributions: binomial, Poisson and gaussian

  5. Hypothesis tests and their meaning

  6. Epidemiology: sensitivity, specificity, predictive values, incidence and prevalence rates

• 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;

Textbook Information

• Medical Statistics

  J. Fowler, P. Jarvis, M. Chevannes "Statistica per le professioni sanitarie" Ed. EdiSES

  Other elementary statistic texbooks

• Computer Technology

  Teaching Handouts