MARCO CASAZZA | PHYSICS, STATISTICS AND BASIC COMPUTER SCIENCE

cod. 1012100002

PHYSICS, STATISTICS AND BASIC COMPUTER SCIENCE

	1012100002
	DEPARTMENT OF MEDICINE, SURGERY AND DENTISTRY "SALERNITANA MEDICAL SCHOOL"
	EQF6
	NURSING
	2024/2025

PERCORSO STUDY PATHWAY IN COMMON NURSING

	OBBLIGATORIO
	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2013
	AUTUMN SEMESTER

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
1	NOZIONI DI FISICA, STATISTICA ED INFORMATICA - MOD. FISICA APPLICATA
	FIS/07	1	12	LESSONS	BASIC COMPULSORY SUBJECTS
2	NOZIONI DI FISICA, STATISTICA ED INFORMATICA - MOD. STATISTICA MEDICA
	MED/01	1	12	LESSONS	BASIC COMPULSORY SUBJECTS
3	NOZIONI DI FISICA, STATISTICA ED INFORMATICA - MOD. INFORMATICA
	INF/01	2	24	LESSONS	VARIOUS EDUCATIONAL ACTIVITIES

PROFESSORS

	MARCO CASAZZA1 T Curriculum
	-32

	Objectives
	THE COURSE OF NOTIONS OF PHYSICS, STATISTICS AND INFORMATICS TAKES PLACE IN THE FIRST SEMESTER. IT IS DIVIDED INTO 3 DIDACTIC MODULES: STATISTICS, INFORMATICS AND PHYSICS. AT THE END OF THE COURSE THE STUDENT WILL HAVE TO KNOW THE BASIC ELEMENTS OF THE STATISTICAL ANALYSIS AND UNDERSTAND ITS PRINCIPLES. HE WILL HAVE ACQUIRED BASIC NOTIONS OF THE USE OF COMPUTERS AND THE BASIC PRINCIPLES OF CLASSICAL PHYSICS APPLIED TO MEDICINE AND BIOLOGY. AT THE END OF THE COURSE AND FOR PASSING THE EXAM, THE STUDENT MUST DEMONSTRATE: 1. HAVING ACHIEVED A KNOWLEDGE AND UNDERSTANDING OF THE BASIC PRINCIPLES OF THE THREE DISCIPLINES 2. ABILITY TO ANALYZE, DISCUSS AND PERFORM CORRELATIONS ON SIMPLE DATA OR HYPOTHESES 3. TO KNOW HOW TO EXPOSE THE ACQUIRED KNOWLEDGE IN THE CORRECT ITALIAN LANGUAGE AND WITH LANGUAGE PROPERTIES 4. TO BE ABLE TO COMMUNICATE WITH THEIR PEERS IN A CRITICAL MANNER OF THE THEMES STUDIED AND TO SUPPORT INTERDISCIPLINARY ARGUMENTS 5. KNOW HOW TO CONNECT THE ACQUIRED KNOWLEDGE TO CLINICAL PRACTICE. ALONG WITH THE SPECIFIC OBJECTIVES, THE FOLLOWING GENERAL OBJECTIVES ARE ALSO INCLUDED: KNOWLEDGE AND UNDERSTANDING DEMONSTRATE KNOWLEDGE AND UNDERSTANDING OF THE TOPICS COVERED DURING THE COURSE. USE ADVANCED TEXTBOOKS, ALSO LEARNING SOME INNOVATIVE TOPICS IN THE DISCIPLINE STUDIED. ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING APPLY KNOWLEDGE AND UNDERSTANDING TO DEMONSTRATE A PROFESSIONAL APPROACH TO THEIR WORK. POSSESS ADEQUATE SKILLS BOTH TO CREATE AND SUPPORT ARGUMENTS AND TO SOLVE PROBLEMS REGARDING THE COURSE TOPICS AUTONOMY OF JUDGEMENT WITHIN THE COURSE TOPICS, ABILITY TO COLLECT AND INTERPRET DATA DEEMED USEFUL TO DETERMINE AUTONOMOUS JUDGMENTS, INCLUDING REFLECTION ON SOCIAL, SCIENTIFIC OR ETHICAL ISSUES CONNECTED TO THEM. COMMUNICATION SKILLS COMMUNICATE INFORMATION, IDEAS, PROBLEMS AND SOLUTIONS TO SPECIALISTS AND NON-SPECIALISTS ABILITY TO LEARN DEVELOP LEARNING SKILLS, WHICH ARE NECESSARY FOR THEM TO UNDERTAKE SUBSEQUENT STUDIES WITH A HIGH DEGREE OF AUTONOMY.

THE COURSE OF NOTIONS OF PHYSICS, STATISTICS AND INFORMATICS TAKES PLACE IN THE FIRST SEMESTER.

IT IS DIVIDED INTO 3 DIDACTIC MODULES: STATISTICS, INFORMATICS AND PHYSICS.

AT THE END OF THE COURSE THE STUDENT WILL HAVE TO KNOW THE BASIC ELEMENTS OF THE STATISTICAL ANALYSIS AND UNDERSTAND ITS PRINCIPLES. HE WILL HAVE ACQUIRED BASIC NOTIONS OF THE USE OF COMPUTERS AND THE BASIC PRINCIPLES OF CLASSICAL PHYSICS APPLIED TO MEDICINE AND BIOLOGY.

AT THE END OF THE COURSE AND FOR PASSING THE EXAM, THE STUDENT MUST DEMONSTRATE:
1. HAVING ACHIEVED A KNOWLEDGE AND UNDERSTANDING OF THE BASIC PRINCIPLES OF THE THREE DISCIPLINES
2. ABILITY TO ANALYZE, DISCUSS AND PERFORM CORRELATIONS ON SIMPLE DATA OR HYPOTHESES
3. TO KNOW HOW TO EXPOSE THE ACQUIRED KNOWLEDGE IN THE CORRECT ITALIAN LANGUAGE AND WITH LANGUAGE PROPERTIES
4. TO BE ABLE TO COMMUNICATE WITH THEIR PEERS IN A CRITICAL MANNER OF THE THEMES STUDIED AND TO SUPPORT INTERDISCIPLINARY ARGUMENTS
5. KNOW HOW TO CONNECT THE ACQUIRED KNOWLEDGE TO CLINICAL PRACTICE.

ALONG WITH THE SPECIFIC OBJECTIVES, THE FOLLOWING GENERAL OBJECTIVES ARE ALSO INCLUDED:

KNOWLEDGE AND UNDERSTANDING
DEMONSTRATE KNOWLEDGE AND UNDERSTANDING OF THE TOPICS COVERED DURING THE COURSE. USE ADVANCED TEXTBOOKS, ALSO LEARNING SOME INNOVATIVE TOPICS IN THE DISCIPLINE STUDIED.

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
APPLY KNOWLEDGE AND UNDERSTANDING TO DEMONSTRATE A PROFESSIONAL APPROACH TO THEIR WORK. POSSESS ADEQUATE SKILLS BOTH TO CREATE AND SUPPORT ARGUMENTS AND TO SOLVE PROBLEMS REGARDING THE COURSE TOPICS

AUTONOMY OF JUDGEMENT
WITHIN THE COURSE TOPICS, ABILITY TO COLLECT AND INTERPRET DATA DEEMED USEFUL TO DETERMINE AUTONOMOUS JUDGMENTS, INCLUDING REFLECTION ON SOCIAL, SCIENTIFIC OR ETHICAL ISSUES CONNECTED TO THEM.

COMMUNICATION SKILLS
COMMUNICATE INFORMATION, IDEAS, PROBLEMS AND SOLUTIONS TO SPECIALISTS AND NON-SPECIALISTS

ABILITY TO LEARN
DEVELOP LEARNING SKILLS, WHICH ARE NECESSARY FOR THEM TO UNDERTAKE SUBSEQUENT STUDIES WITH A HIGH DEGREE OF AUTONOMY.

	Prerequisites
	THE STUDENT MUST HAVE ACQUIRED BASIC KNOWLEDGE IN THE FIELD OF MATHEMATICS PROVIDED BY NORMAL HIGH SCHOOL CURRICULA.

	Contents
	NOTIONS OF PHYSICS (1 CFU- 12 HOURS) ANALYSIS AND USE OF VECTORS FOR THE DESCRIPTION OF THE PHYSICAL QUANTITIES STUDY OF KINEMATICS AND MOTION LAWS; PRINCIPLES OF DYNAMICS; WORK AND ENERGY; CONSERVATION LAWS: ENERGY AND MOMENTUM; PRINCIPLES OF FLUID MECHANICS; LAWS OF THERMODYNAMICS. ACOUSTICS AND GEOMETRICAL OPTICS. STATISTICS MODULE (1 CFU - 12 HOURS) DESCRIPTIVE STATISTICS: CHARACTER, INDIVIDUAL, UNIVERSE AND STATISTICAL SAMPLE. DESCRIPTIVE STATISTICS AND INFERENTIAL STATISTICS; SAMPLE CHARACTERISTICS (REPRESENTATIVENESS, NUMEROSITY); RANDOM SELECTION (RANDOM NUMBER TABLES). MEASUREMENT SCALES (NOMINAL, ORDINAL, NUMERICAL). FREQUENCY DISTRIBUTIONS; NUMBER OF CLASSES; MODULE (CONSTANT OR VARIABLE); FREQUENCY DENSITY; CUMULATIVE FREQUENCY; PERCENTILES. GRAPHICAL REPRESENTATION OF A FREQUENCY DISTRIBUTION. SUMMARY INDICATORS: CENTRAL TREND INDEXES (ARITHMETIC MEAN, FASHION AND MEDIAN), VARIABILITY INDICES (RANGE, DEVIANCE, VARIANCE, STANDARD DEVIATION, COEFFICIENT OF VARIATION), DISTRIBUTION SHAPE INDICES. PROBABILITY AND STATISTICAL INFERENCE. DEFINITIONS. ADDITIVE LAW AND MULTIPLICATIVE LAW OF PROBABILITIES; CONDITIONAL PROBABILITY; BAYES THEOREM. DIAGNOSTIC TESTS; SENSITIVITY AND SPECIFICITY OF A TEST; POSITIVE AND NEGATIVE PREDICTIVE VALUE. PROBABILITY DISTRIBUTIONS THEORETICAL, BINOMIAL, OF POISSON, OF GAUSS; PARAMETERS; STANDARD DEVIATED NORMAL. DISTRIBUTION OF SAMPLE AVERAGES. SAMPLING. STANDARD ERROR OF THE AVERAGE; CONFIDENCE INTERVAL. STATISTICAL TEST CONCEPT; HYPOTHESIS ZERO (HO) AND CHOICE OF THE ALTERNATIVE HYPOTHESIS (H1) (ONE-TAILED OR TWO-TAILED TEST); LEVEL OF SIGNIFICANCE. PARAMETRIC TESTS: STUDENT'S T; ANALYSIS OF VARIANCE. NON-PARAMETRIC. FREQUENCY ANALYSIS. EXPECTED FREQUENCIES BASED ON A HYPOTHESIS; CHI-SQUARE. TEST OF SIGNS. WILCOXON TEST STUDY OF THE CONNECTION OF TWO QUANTITATIVE VARIABLES. LINEAR CORRELATION. CORRELATION TABLES. CORRELATION COEFFICIENT LINEAR REGRESSION. LEAST SQUARES PRINCIPLE; CALCULATION AND MEANING OF THE COEFFICIENTS OF THE REGRESSION LINE. SURVIVAL ANALYSIS: KAPLAN MEIER METHOD INFORMATICS MODULE (2 CFU - 24 HOURS) ICT CONCEPTS, ALGORITHMS DESIGN, BASIC SOFTWARE APPLICATIONS AND BASIC CONCEPTS. DECIMAL CONVERSION SYSTEMS - BINARY AND VICE VERSA. BASIC NOTION OF A COMPUTER, HARDWARE AND SOFTWARE CONCEPTS APPLICATION SOFTWARE: 1. MICROSOFT OFFICE WORD; PRACTICAL COMMERCIAL LETTER EXERCISE, TYPOGRAPHIC DRESS CARE, LAYOUT, HEADER AND FOOTER MODIFICATION, TABLE INSERTION, IMAGE, WORD-ART FORMS. 2. MICROSOFT OFFICE EXCEL; CELL FORMATTING, BASIC STATISTICAL FUNCTIONS, RELATIVE AND ABSOLUTE REFERENCES, ADVANCED FUNCTIONS, IF CONDITIONAL, ORDERED LISTS, FILTER APPLICATION, LAYOUT MODIFICATION, LINKS BETWEEN SHEETS, GRAPHS, SERVICE SHIFTS, TUTORIAL: MANAGE A BUDGET ASSIGNED TO AN OPERATING UNIT. 3. MICROSOFT OFFICE POWER POINT; DESIGN A PRESENTATION OF A MEDICAL DEVICE, USING THE ADVANCED TOOLS OF THE APPLICATION. ICT IN THE HEALTH SECTOR: TELEMEDICINE AND REMOTE ASSISTANCE, WEB REFERENCING, PHARMACY ROBOTICS, ELECTRONIC MEDICAL RECORDS, HOSPITAL INFORMATION SYSTEMS, DEFINITION OF MEDICAL DEVICE ACCORDING TO THE 93/42 STANDARD. INFORMATION SECURITY, RISK ASSESSMENT IN GENERAL WITH SPECIAL ATTENTION TO THOSE RELATED TO THE ELECTRONICALLY PROCESSED DATA MANAGEMENT, DEMATERIALIZATION, D.LGVO NOTICE 196/2003. BASIC CONCEPTS ON BROWSING BROWSERS

Contents

NOTIONS OF PHYSICS (1 CFU- 12 HOURS)
ANALYSIS AND USE OF VECTORS FOR THE DESCRIPTION OF THE PHYSICAL QUANTITIES
STUDY OF KINEMATICS AND MOTION LAWS; PRINCIPLES OF DYNAMICS; WORK AND ENERGY; CONSERVATION LAWS: ENERGY AND MOMENTUM; PRINCIPLES OF FLUID MECHANICS; LAWS OF THERMODYNAMICS. ACOUSTICS AND GEOMETRICAL OPTICS.

STATISTICS MODULE (1 CFU - 12 HOURS)
DESCRIPTIVE STATISTICS: CHARACTER, INDIVIDUAL, UNIVERSE AND STATISTICAL SAMPLE. DESCRIPTIVE STATISTICS AND INFERENTIAL STATISTICS; SAMPLE CHARACTERISTICS (REPRESENTATIVENESS, NUMEROSITY); RANDOM SELECTION (RANDOM NUMBER TABLES). MEASUREMENT SCALES (NOMINAL, ORDINAL, NUMERICAL).
FREQUENCY DISTRIBUTIONS; NUMBER OF CLASSES; MODULE (CONSTANT OR VARIABLE); FREQUENCY DENSITY; CUMULATIVE FREQUENCY; PERCENTILES.
GRAPHICAL REPRESENTATION OF A FREQUENCY DISTRIBUTION.
SUMMARY INDICATORS: CENTRAL TREND INDEXES (ARITHMETIC MEAN, FASHION AND MEDIAN), VARIABILITY INDICES (RANGE, DEVIANCE, VARIANCE, STANDARD DEVIATION, COEFFICIENT OF VARIATION), DISTRIBUTION SHAPE INDICES.
PROBABILITY AND STATISTICAL INFERENCE. DEFINITIONS. ADDITIVE LAW AND MULTIPLICATIVE LAW OF PROBABILITIES; CONDITIONAL PROBABILITY; BAYES THEOREM.
DIAGNOSTIC TESTS; SENSITIVITY AND SPECIFICITY OF A TEST; POSITIVE AND NEGATIVE PREDICTIVE VALUE.
PROBABILITY DISTRIBUTIONS THEORETICAL, BINOMIAL,
OF POISSON, OF GAUSS; PARAMETERS; STANDARD DEVIATED NORMAL.
DISTRIBUTION OF SAMPLE AVERAGES. SAMPLING. STANDARD ERROR OF THE AVERAGE; CONFIDENCE INTERVAL. STATISTICAL TEST CONCEPT; HYPOTHESIS ZERO (HO) AND CHOICE OF THE ALTERNATIVE HYPOTHESIS (H1) (ONE-TAILED OR TWO-TAILED TEST); LEVEL OF SIGNIFICANCE.
PARAMETRIC TESTS: STUDENT'S T; ANALYSIS OF VARIANCE.
NON-PARAMETRIC. FREQUENCY ANALYSIS. EXPECTED FREQUENCIES BASED ON A HYPOTHESIS; CHI-SQUARE. TEST OF SIGNS. WILCOXON TEST
STUDY OF THE CONNECTION OF TWO QUANTITATIVE VARIABLES.
LINEAR CORRELATION. CORRELATION TABLES. CORRELATION COEFFICIENT
LINEAR REGRESSION. LEAST SQUARES PRINCIPLE; CALCULATION AND MEANING OF THE COEFFICIENTS OF THE REGRESSION LINE.
SURVIVAL ANALYSIS: KAPLAN MEIER METHOD

INFORMATICS MODULE (2 CFU - 24 HOURS)
ICT CONCEPTS, ALGORITHMS DESIGN, BASIC SOFTWARE APPLICATIONS AND BASIC CONCEPTS.
DECIMAL CONVERSION SYSTEMS - BINARY AND VICE VERSA.
BASIC NOTION OF A COMPUTER, HARDWARE AND SOFTWARE CONCEPTS
APPLICATION SOFTWARE:
1. MICROSOFT OFFICE WORD; PRACTICAL COMMERCIAL LETTER EXERCISE, TYPOGRAPHIC DRESS CARE, LAYOUT, HEADER AND FOOTER MODIFICATION, TABLE INSERTION, IMAGE, WORD-ART FORMS.
2. MICROSOFT OFFICE EXCEL; CELL FORMATTING, BASIC STATISTICAL FUNCTIONS, RELATIVE AND ABSOLUTE REFERENCES, ADVANCED FUNCTIONS, IF CONDITIONAL, ORDERED LISTS, FILTER APPLICATION, LAYOUT MODIFICATION, LINKS BETWEEN SHEETS, GRAPHS, SERVICE SHIFTS, TUTORIAL: MANAGE A BUDGET ASSIGNED TO AN OPERATING UNIT.
3. MICROSOFT OFFICE POWER POINT; DESIGN A PRESENTATION OF A MEDICAL DEVICE, USING THE ADVANCED TOOLS OF THE APPLICATION.
ICT IN THE HEALTH SECTOR: TELEMEDICINE AND REMOTE ASSISTANCE, WEB REFERENCING, PHARMACY ROBOTICS, ELECTRONIC MEDICAL RECORDS, HOSPITAL INFORMATION SYSTEMS, DEFINITION OF MEDICAL DEVICE ACCORDING TO THE 93/42 STANDARD.
INFORMATION SECURITY, RISK ASSESSMENT IN GENERAL WITH SPECIAL ATTENTION TO THOSE RELATED TO THE ELECTRONICALLY PROCESSED DATA MANAGEMENT, DEMATERIALIZATION, D.LGVO NOTICE 196/2003.
BASIC CONCEPTS ON BROWSING BROWSERS

	Teaching Methods
	THE COURSE INCLUDES FRONTAL LESSONS FOR A TOTAL OF 48 HOURS. CLASSROOM ATTENDANCE IS MANDATORY. IN ORDER TO TAKE THE FINAL EXAM, THE STUDENT MUST HAVE ATTENDED AT LEAST 80% OF THE TEACHING HOURS. THE MODE OF VERIFICATION OF PRESENCE IS MADE KNOWN BY THE TEACHER AT THE BEGINNING OF THE LESSONS.

	Verification of learning
	THE ACHIEVEMENT OF THE TEACHING OBJECTIVES IS CERTIFIED BY PASSING AN EXAM WITH A WRITTEN AND ORAL EXAM WITH AN EVALUATION IN THIRTIETHS. THE TEST, AS A WHOLE, MAKES IT POSSIBLE TO ASCERTAIN BOTH THE CAPACITY FOR KNOWLEDGE AND UNDERSTANDING, AND THE ABILITY TO APPLY THE SKILLS ACQUIRED, BOTH THE ABILITY TO EXHIBIT, AND THE ABILITY TO LEARN AND DEVELOP SOLUTIONS INDEPENDENTLY. ALL THE PROFESSORS WILL PARTICIPATE IN THE OVERALL COLLECTIVE ASSESSMENT OF THE STUDENT'S PROFIT.

Verification of learning

THE ACHIEVEMENT OF THE TEACHING OBJECTIVES IS CERTIFIED BY PASSING AN EXAM WITH A WRITTEN AND ORAL EXAM WITH AN EVALUATION IN THIRTIETHS. THE TEST, AS A WHOLE, MAKES IT POSSIBLE TO ASCERTAIN BOTH THE CAPACITY FOR KNOWLEDGE AND UNDERSTANDING, AND THE ABILITY TO APPLY THE SKILLS ACQUIRED, BOTH THE ABILITY TO EXHIBIT, AND THE ABILITY TO LEARN AND DEVELOP SOLUTIONS INDEPENDENTLY. ALL THE PROFESSORS WILL PARTICIPATE IN THE OVERALL COLLECTIVE ASSESSMENT OF THE STUDENT'S PROFIT.

	Texts
	PHYSICS - REFERENCE BOOK G. M. CONTESSA, G. A. MARZO. FISICA APPLICATA ALLE SCIENZE MEDICHE. CEA ISBN: 978-88-08-82032-7 MATERIAL AND HANDOUTS DISTRIBUTED BY THE TEACHERS DURING THE LESSONS.

	More Information
	PER INFORMAZIONI PIÙ DETTAGLIATE SUL FOR DETAILS ON THE PROGRAMME, UPDATES AND COMMUNICATIONS, PLEASE REFER TO THE FOLLOWING PAGE: DOTT. MARCO CASAZZA HTTPS://DOCENTI.UNISA.IT/057062/HOME

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MARCO CASAZZA | PHYSICS, STATISTICS AND BASIC COMPUTER SCIENCE