PHYSICS

Annalisa DE CARO PHYSICS

0512900003
DEPARTMENT OF PHYSICS "E. R. CAIANIELLO"
EQF6
SCIENCE AND NANOTECHNOLOGY FOR SUSTAINABILITY
2024/2025

OBBLIGATORIO
YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2022
FULL ACADEMIC YEAR
CFUHOURSACTIVITY
1FONDAMENTI DI FISICA (MODULO DI FISICA)
432LESSONS
336EXERCISES
2ANALISI DATI E STATISTICA (MODULO DI FISICA)
324LESSONS
224EXERCISES
Objectives
EDUCATIONAL GOALS: THE COURSE CONTAINS BASIC ELEMENTS OF CLASSICAL MECHANICS, STATISTICS, THEORY OF PROBABILITY AND DATA ANALYSIS WITH THE AIM OF PROVIDING TO THE STUDENTS A COMPLETE PICTURE OF THESE DISCIPLINES.

KNOWLEDGE AND ABILITY OF UNDERSTANDING: THE COURSE INTENDS TO PROVIDE, IN A CONCISE AND PROPER WAY FOR THE APPLICATIONS, THE KNOWLEDGE OF THE BASIC NOTIONS AND APPLICATIONS OF CLASSICAL MECHANICS, STATISTICS, THEORY OF PROBABILITY AND THEIR APPLICATIONS TO DATA ANALYSIS IN LABORATORY EXPERIMENTS

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: THE COURSE PROVIDES THE STUDENT WITH THEORETICAL TOOLS TO SOLVE PROBLEMS OF CLASSICAL MECHANICS. THEY WILL BE ABLE TO APPLY BASIC CONCEPTS OF STATISTICS AND THEORY OF PROBABILITY IN LABORATORY EXPERIMENTS.
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COMMUNICATIVE ABILITY: THE COURSE WILL PROVIDE TO STUDENTS THE CAPABILITY OF EXPOSING IN A CLEAR AND RIGOROUS WAY THE ACQUIRED KNOWLEDGE. AT THE END OF THE COURSE THE STUDENT HAS TO BE ABLE TO ENUNCIATE IN A CORRECT WAY DEFINITIONS, PROBLEMS AND THEOREMS CONCERNING THE CONTENTS OF THE COURSE ITSELF.

AUTONOMY OF JUDGMENT: THE STUDENTS ARE DRIVEN TO LEARN IN A CRITICAL AND RESPONSIBLE WAY ALL THE ARGUMENTS EXPOSED DURING CLASS LECTURES AND TO ENRICH HIS/HER OWN ABILITIES OF JUDGMENT THROUGH THE STUDY OF THE DIDACTIC MATERIAL POINTED OUT BY THE LECTURERS.
Prerequisites
THE COURSE REQUIRES BASIC KNOWLEDGE MATHEMATICS: ALGEBRA, ELEMENTARY GEOMETRY, LOGARITHMS, TRIGONOMETRY, FIRST AND SECOND-ORDER EQUATIONS AND INEQUALITIES, ALGEBRAIC SYSTEMS, BASICS OF ELEMENTARY DIFFERENTIAL CALCULUS, DERIVATIVES, INTEGRALS AND SUMMATIONS.
Contents
HOURS OF LECTURES: 34, HOURS OF EXERCISES: 30
COURSE CONTENT.
1. INTRODUCTION TO PHYSICS. PHYSICAL QUANTITIES: TIME, FREQUENCY, POSITION, ANGLE, VELOCITY, ACCELERATION, MASS, DENSITY, FORCE, WORK, ENERGY, MOMENTUM, IMPULSE, MOMENT OF INERTIA, TORQUE, ANGULAR MOMENT. DIMENSIONS AND MEASUREMENT UNITS. (THEORY: 2 HOURS, EXERCISES: 0 HOURS)
2. VECTORS. (THEORY: 3 ORE, EXERCISES: 3 HOURS)
3. KINEMATICS: STUDY OF MOTIONS IN ONE AND TWO DIMENSIONS. (THEORY: 3 HOURS, EXERCISES: 3 HOURS)
4. POINT-LIKE DYNAMICS. THE THREE PRINCIPLES OF THE DYNAMICS. GRAVITY. CONTACT FORCES. TENSION. SPRINGS. VISCOUS FRICTION. CENTRAL FORCES. (THEORY: 4 HOURS, EXERCISES: 5 HOURS)
5. WORK. KINETIC ENERGY. WORK-ENERGY THEOREM. POTENTIAL ENERGY AND CONSERVATIVE FORCES. CONSERVATION LAWS: ENERGY, MOMENTUM AND ANGULAR MOMENTUM. (THEORY: 4 HOURS, EXERCISES: 4 HOURS)
6. SCATTERING PROCESSES IN ONE AND TWO DIMENSIONS. CENTER OF MASS. (THEORY: 2 HOURS, EXERCISES: 2 HOURS)
7. REFERENCE SYSTEMS. RELATIVE MOTIONS. (THEORY: 2 HOURS, EXERCISES: 2 HOURS)
8. DYNAMICS OF EXTENDED SYSTEMS. THE CARDINAL EQUATIONS. KOENIG THEOREM. (THEORY: 4 HOURS, EXERCISES: 4 HOURS)
9. FUNDAMENTAL ELEMENTS OF DYNAMICS AND STATICS OF RIGID BODIES. HUYGENS THEOREM. (THEORY: 4 HOURS, EXERCISES: 5 HOURS)
10. OSCILLATORS AND SMALL OSCILLATIONS. (THEORY: 2 HOURS, EXERCISES: 2 HOURS)

STATISTICS AND DATA ANALYSIS - LECTURES: 31 HOURS, EXERCISE SESSIONS: 8 HOURS, LABORATORY: 9 HOURS
COURSE CONTENT

1. ELEMENTS OF THEORY OF PROBABILITY AND BAYES THEOREM
2. PROBABILITY DISTRIBUTIONS AND HISTOGRAMS
3. RANDOM NUMBERS AND MONTE CARLO METHODS
4. ABSOLUTE AND RELATIVE UNCERTAINTIES, DISCREPANCY
5. PROPAGATION OF UNCERTAINTIES FOR FUNCTIONS OF ONE OR MORE VARIABLES
6. MEAN, STANDARD DEVIATION, GAUSSIAN DISTRIBUTION AND ERROR FUNCTION ERF (X)
7. WEIGHTED AVERAGE AND LINEAR FIT
8. COVARIANCE AND CORRELATION
9. BINOMIAL AND POISSON DISTRIBUTIONS
10. CHI2 TEST
Teaching Methods
TEACHING CONSISTS OF 30 HOURS OF FRONTAL LECTURES AND 30 HOURS OF EXERCISES WITH AN ADDITIONAL A NUMBER OF TUTORING HOURS. LESSONS AND EXERCISES WILL ALSO BE PROVIDED ON THE TOPICS OUTLINED WITH THE AID OF AUDIOVISUAL MATERIAL. EXERCISES WILL INCLUDE THE DIRECT PARTICIPATION OF STUDENTS WHO WILL BE INVITED TO ATTEND AND DISCUSS THE EXERCISES PROPOSED BY THE TEACHER. THE COURSE INCLUDES EXERCISE SESSIONS AND PROGRAMMING.
Verification of learning
THE ACHIEVEMENT OF THE COURSE OBJECTIVES WILL BE CERTIFIED BY A WRITTEN AND ORAL EXAM WITH GRADES ON A SCALE OF 30. THE FINAL SCRIPT INCLUDES 2 EXERCISES TO BE PERFORMED IN 2 HOURS; STUDENTS WILL BE ABLE TO ACCESS THE ORAL EXAM IF THE GRADES OF WRITTEN TEST ARE AT LEAST 18/30. INTERMEDIATE
SCRIPT EXAMINATIONS OF 1/2 HOURS WITH TWO PROBLEMS CAN BE SCHEDULED DURING THE COURSE; THOSE WHO REACH THE FINAL AVERAGE OF AT LEAST 18/30 MAY OPT TO DIRECTLY SUPPORT THE FINAL ORAL EXAM.
THE EXAM IS ORGANIZED IN ORDER TO FULLY ASCERTAIN THE CANDIDATE'S KNOWLEDGE WITH PARTICULAR ATTENTION TO HIS/HER ABILITY TO FULLY EXHIBIT CONNECTIONS BETWEEN THE TOPICS OF THE STUDIED ARGUMENTS WITH A GOOD LEVEL OF CLARITY IN THE PRESENTATION OF THE TOPICS.
FOR THE STATISTICS COURSE, EXERCISE SHEETS ARE PROVIDED EVERY WEEK AND STUDENTS MUST HAND IN 3 SCIENTIFIC REPORTS FOR THE LABORATORY EXPERIMENTS. ONLY THOSE WHO HAND IN ALL EXERCISE SHEETS CAN DO ONLY THE ORLA EXAM.

Texts
REFERENCE BOOKS AND LECTURE NOTES:
1. D. HALLYDAY, R. RESNICK, J. WALKER: FONDAMENTI DI FISICA, ED. CASA EDITRICE AMBROSIANA, MILANO.
2. G. VANNINI: GETTYS FISICA 1. MECCANICA. TERMODINAMICA. ED. MCGRAW HILL EDUCATION, MILANO.
3. GIANCOLI: FISICA 1. ED. CASA EDITRICE AMBROSIANA, MILANO.
4. P. MAZZOLDI, M. NIGRO, C. VOCI: ELEMENTI DI FISICA. MECCANICA E TERMODINAMICA, ED. EDISES, NAPOLI.

SUPPLEMENTARY LEARNING:
1. C. MENCUCCINI, V. SILVESTRINI: FISICA I. MECCANICA. TERMODINAMICA. ED. CASA EDITRICE AMBROSIANA, MILANO.
2. D. HALLYDAY, R. RESNICK, J. WALKER: FISICA I, ED. CASA EDITRICE AMBROSIANA, MILANO.
3. P.A.TIPLER, G.MOSCA: CORSO DI FISICA 1 - MECCANICA, ONDE, TERMODINAMICA. ED. CASA EDITRICE AMBROSIANA, MILANO.
4. P. MAZZOLDI, M. NIGRO, C. VOCI: FISICA VOLUME 1, ED. EDISES, NAPOLI.
5. JOHN R. TAYLOR, AN INTRODUCTION TO ERROR ANALYSIS
6. LUCA LISTA, STATISTICAL METHODS FOR DATA ANALYSIS IN PARTICLE PHYSICS
7. GLEN COWAN, STATISTICAL DATA ANALYSIS
More Information
SUBJECT DELIVERED IN ITALIAN. IF REQUESTED, FURTHER EXPLANATIONS CAN BE GIVEN IN ENGLISH.
Lessons Timetable

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