PHISYCS, STATISTICS AND COMPUTER SCIENCE
Academic year and teacher
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- Versione italiana
- Academic year
- 2021/2022
- Teacher
- ANGELO TAIBI
- Credits
- 7
- Didactic period
- Primo Semestre
Training objectives
- PHYSICS
Understanding of basic scientific knowledge useful in physiopatology of living systems.
STATISTICS FOR THE EXPERIMENTAL RESEARCH AND TECHNOLOGY and MEDICAL STATISTICS
Provide the skills necessary for the basic analysis of biological, clinical and organizational parameters. In particular, at the end of the course the student will learn the main methods to understand correctly scientific results, to interpret statistical inference, and to perform basic analyses on non-complex databases.
COMPUTER SCIENCES
Provide the basics that make up the hardware and software elements of a computer system.
Learn to use an electronic spreadsheet as a tool for data processing. Prerequisites
- PHYSICS
Elements of algebra and trigonometry. Basic knowledge in mathematics.
STATISTICS FOR THE EXPERIMENTAL RESEARCH AND TECHNOLOGY and MEDICAL STATISTICS
Basic knowledge in mathematics.
INFORMATICS
Elements of algebra and trigonometry. Basic knowledge in mathematics. Course programme
- PHYSICS
The International System; scalars and vectors.
Motion of a point; laws of motion; work of a force; work and kinetic energy; power; forces and potential energy; systems of mass points; centre of mass; rigid body; effects of forces on a rigid body; centre of gravity; rigid body equilibrium; work of non-conservative forces; energy conservation; fluid dynamics and statics, introduction to wave phenomena.
STATISTICS FOR THE EXPERIMENTAL RESEARCH AND TECHNOLOGY and MEDICAL STATISTICS
Statistical approach, design of a survey or a trial, measures of central tendency and dispersion, descriptive statistics, interpretation of the results, inferential statistics, difference between relative and absolute risk, indicators of the strength of an association, confidence intervals, hypothesis testing, concept of probability, basic principles of statistical tests and the meaning of multivariate analyses.
Deepening of use of basic statistical software and statistical reading of scientific articles.
COMPUTER SCIENCES
Data and information. Basic components and functions of a computer system. Data processing: algorithm. Types of computers. Signal and data coding. Codes for alphanumeric representation. Basic numerical conversion. Hardware components. Software components. Function, structure and types of an operating system. Application software. User interfaces.
Graphics on the PC. Digital images. File. Data storage and mass storage. File System. Data protection.
Basic elements of the spreadsheet. Editing commands. Graphical, numerical and conditional formatting of cells. Formulas and main logical, statistical, mathematical functions. Charts.
Analysis of experimental data through the most common descriptive statistics functions. Sorting and filtering data. Pivot tables.
Exercises on the use of the spreadsheet.
Computer exercises on the basic use of the spreadsheet Didactic methods
- PHYSICS and STATISTICS FOR THE EXPERIMENTAL RESEARCH AND TECHNOLOGY and MEDICAL STATISTICS
Lectures.
INFORMATICS
Lectures and hands-on practice. Learning assessment procedures
- PHYSICS
Written exam: 10 multiple choice questions (each with 5 responses). Rating: 3 for points correct answer, 0 points for wrong answer or question not answered. The correct answer is validated only if the student submits the proof. Time allotted 45 min.To pass this test it is required to get at least 18 points out of 30.
STATISTICS FOR THE EXPERIMENTAL RESEARCH AND TECHNOLOGY and MEDICAL STATISTICS
Written test: 15 multiple choice questions, each with 4 answers. More than a correct answer is possible, from one to four for each question. Every question is worth 2 points; every wrong answer or a correct answer that has not been indicated, minus 1 point. Duration: 30 minutes. To pass the exam, the score has to be 18 or higher.
COMPUTER SCIENCES
Written exam consisting of 30 multiple choice questions (with 1 correct answer) divided into 2 macro-topics:
Basic computer science: 15 questions;
Spreadsheet: 15 questions.
Rating:
+1 point for correct answer
0 points for wrong or undated answer.
Duration: 30 minutes.
The exam is considered passed only if, regardless of the overall score achieved, at least 9 answers are correct for each macro-topic
THE FINAL GRADE IS A WEIGHTED AVERAGE OF THE MARKS OBTAINED IN EACH TESTS. Reference texts
- PHYSICS
Borsa, Lascialfari, Gueli - “Principi di Fisica”, EdiSES (III ed.)
Materials provided by the teacher.
STATISTICS FOR THE EXPERIMENTAL RESEARCH AND TECHNOLOGY and MEDICAL STATISTICS
Manzoli L, Villari P, Boccia A. Epidemiologia e Management in Sanità. Elementi di Metodologia (2° Ed.). Edi-Ermes, 2015. Material provided by the teacher.
COMPUTER SCIENCES
Text preparation European Computer Driving Licence (ECDL) syllabus, latest version, an notes by the teacher
