FISICA STATISTICA E INFORMATICA - canale 1

Learning Objectives

• Physics

  The course has the stated goal of providing adequate knowledge and understanding of fundamental physical laws that govern biomedical processes, and skills in applying knowledge

• 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 science

  This course provides the basic theoretical knowledge about the use of a computer, hardware and software, about the applications of informatics in healthcare settings, as well as providing practical knowledge on the use of an operative system and of the office suite (Word, Excel).

Course Structure

• Physics

  Frontal lessons

  
  
  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.
  

• 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 science

  Classroom lessons. n.b. 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

• Physics

  1. Recall and basic introductory notions

  2. The mechanics of rigid bodies

  3. Fluids and their applications

  4. Thermology

  5. Electric and magnetic phenomena and their applicatios

  6. Wave phenomena and their applications

  7. Electromagnetic and corpuscular radiation and applications

• 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 science
  1. Introduction to computer science.
  2. Encoding and representation of information.
  3. Architecture of computer.
  4. Operating system and software application.
  5. Computer networks and the Internet.
  6. Elements of medical informatics.
  7. Word processors: Microsoft Word.
  8. Spreadsheets: Microsoft Excel.

Textbook Information

• Physics

  D. Scannicchio, E. Giroletti "Elementi di Fisica Biomedica" Ed. EdiSES

  F. Borsa, A. Lascialfari ''Principi di Fisica per indirizzo biomedico e farmaceutico'' Ed. EdiSES

  A. Giambattista, B. Richardson, R. Richardson "Fisica generale" Ed. Graw Hill

• Statistics

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

  Notes prepared by the teacher

• Computer science

  Teacher’s slides and any European Computer Driving Licence books.