FISICA STATISTICA E INFORMATICA - canale 1
Academic Year 2020/2021 - 1° Year- Physics: Elena Bruno
- Medical Statistics: Lorenzo Lupo
- Computer science: Mario Massimiliano Salfi
Scientific field
- FIS/07 - Applied physics
- MED/01 - Medical statistics
- INF/01 - Informatics
Term / Semester: 1°
ENGLISH VERSION
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
- 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 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.
- Medical Statistics
Classroom lecturers using blackboard and tracing papers
- 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
- 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 science
- Introduction to computer science.
- Encoding and representation of information.
- Architecture of computer.
- Operating system and software application.
- Computer networks and the Internet.
- Elements of medical informatics.
- Word processors: Microsoft Word.
- 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
- Medical Statistics
J. Fowler, P. Jarvis, M. Chevannes "Statistica per le professioni sanitarie" Ed. EdiSES
Other elementary statistic texbooks
- Computer science
Teacher’s slides and any European Computer Driving Licence books.