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PHYSICS, INFORMATION TECHNOLOGY, STATISTICS SCIENCE Integrated educational activity
Course Sheet Academic Year of enrolment:
Hours of classroom activity:
Prerequisites:
We recommend a knowledge of the notions of mathematics present in all high school programs.
Objectives
Contents Module: Applied Physics - CFU 2
Professor: PERRUCCI Mauro Gianni
Module: Computer Science - CFU 1
Professor: DI MARCO ROCCO
Module: Medical Statistics - CFU 2
Professor.: DI NICOLA MARTA
Extended Syllabus APPLIED PHYSICS:
Electromagnetic waves.
Interpretation of light as an electromagnetic wave and an electromagnetic spectrum.
Experimental measurement of the speed of light.
Energy carried by electromagnetic waves.
Light propagation: geometric optics:
The ray model for the propagation of light.
Reflection and flat mirrors.
Index of refraction.
Refraction and Snell's law.
Total reflection and its application to optical fibers.
Thin lenses and light rays diagrams.
Equation of thin lenses and magnification
Constitutive equation of lenses.
Wave nature of light:
Waves and corpuscles, Huygens principle and diffraction.
The principle of Huygens and the law of refraction.
Interference and experimentation of the two Young's slits.
Spectrum of visible light and dispersion.
Diffraction through a single slit and through a hole.
Diffraction lattices Spectrometers and spectroscopy.
Polarization.
Optical instruments:
Film and digital cameras.
Human eye and corrective lenses.
Magnifying glass.
the telescopes.
Compound microscope.
Aberration of the lenses.
Resolution limits: circular openings.
Resolution of telescopes and microscopes.
Resolution of the human eye and useful magnification.
COMPUTER SCIENCE:
Store information into a computer: storage device;
Interact with the computer: input and output devices;
Health informatics: current context and future developments;
Computer networks: from data transport to the use of information;
Types of networks: architectures and transmission techniques;
The operating system of a computer: interface and variants;
Productivity software: word processing, spreadsheet,
presentation and database;
Numbering systems and conversion techniques, concept of
algorithm:
Programming languages: what they are and their evolution;
e-Learning concepts;
Concepts of Bioinformatics and Telemedicine.
MEDICAL STATISTICS
Purposes and methods of statistical analysis; Statistical characters and classification.
Data synthesis Tools: absolute, relative, cumulated frequencies; Arrangement and organization of data in tables; Frequency distributions.
Main graphical representations: orthograms, circular field diagrams, histograms, frequency polygons, scatter diagrams.
Central trend indices: Arithmetic mean and its properties, mode and median, Terzili, quartiles and percentiles.
Variability indices: range, deviance, variance, standard deviation and coefficient of variation. Box-Plot.
Frequency distribution curves. Symmetry indices.
Normal distribution, standardized normal distribution.
Confidence interval for an arithmetic mean and for a proportion.
Concept of statistical hypothesis testing.
Relationship between two qualitative characters: the Chi-squared test as a measure of association between two qualitative variables, the chi-squared with the correction of Yates for the continuity, the exact Fisher test.
Student T-test for independent samples and student T-test for paired samples.
Relationship between two quantitative characters: regression analysis and correlation analysis
Critical reading of articles related to topics related to the CdS with significant content of biostatistics.
Recommended Bibliography Module: Physics
- Giancoli: Physics with modern physics; Ambrosiana publishing house.
- Lecture notes in electronic format downloadable from the site https://elearning.unich.it .
Module: Computer Technology
- BASIC INFORMATICS by Curtin-Foley-Sen-Morin - Publisher: McGraw-Hill.
- Lecture notes in electronic format.
Module: Medical Statistics
- Copy of the slides used during the lessons.
- Bibliographic material available online at www.biostatistica.unich.it .
- J Fowler, P Jarvis, M Chevannes. STATISTICS FOR SANITARY PROFESSIONS. EdiSES.
Teaching Methods The courses include 20 hours of lectures for each of the teaching modules divided into 2-3 hour lessons depending on the academic calendar. The frontal lectures consist of theoretical lectures, practical applications with exercises and also laboratory activities for the Informatics module. During the lessons the topics of the course are explained also with examples on the blackboard or on a computer.
Evaluation methods Verification of learning:
The verification of the student's competency consists of a written test with a resolution of 3 exercises related to the entire program with a possible subsequent oral integration based on the teacher's discretion for the Physics module. While the modules of Statistica Medica e Informatica provide a written test with a multiple choice questionnaire related to the entire program with a possible subsequent oral integration based on the teacher's discretion. The total points (30) for each module will be divided based on the questions present in the test. The total score for each module is given by the sum of the correct scores in response to individual exercises or individual test questions. The scores obtained in the 3 individual tests related to each module are averaged (arithmetic average) to obtain the final grade of the exam. The duration of the individual written tests of each module varies between approximately 30 to 60 minutes.
Contacts/More Information See individual module description.