First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
PHYSICS
Course unit
PHYSICS EXPERIMENTS 2 (Iniziali cognome A-L)
SCP3050166, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course First cycle degree in
PHYSICS
SC1158, Degree course structure A.Y. 2014/15, A.Y. 2018/19
A1301
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Number of ECTS credits allocated 11.0
Type of assessment Mark
Course unit English denomination PHYSICS EXPERIMENTS 2
Website of the academic structure http://fisica.scienze.unipd.it/2018/laurea
Department of reference Department of Physics and Astronomy
E-Learning website https://elearning.unipd.it/dfa/course/view.php?idnumber=2018-SC1158-000ZZ-2017-SCP3050166-A1301
Mandatory attendance
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge ALESSANDRO PATELLI FIS/03
Other lecturers DENIS BASTIERI FIS/01
ANDREA LONGHIN FIS/01
PAOLO SARTORI FIS/01

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses FIS/01 Experimental Physics 11.0

Course unit organization
Period Annual
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Group didactic activities 0.0 48 0.0 No turn
Laboratory 4.5 54 58.5 2
Lecture 6.5 52 110.5 No turn

Calendar
Start of activities 01/10/2018
End of activities 28/06/2019
Show course schedule 2019/20 Reg.2014 course timetable

Examination board
Board From To Members of the board
10 Sperimentazioni di Fisica 2 (iniziali cognome M-Z) 01/10/2018 30/11/2019 LONGHIN ANDREA (Presidente)
ZALTRON ANNAMARIA (Membro Effettivo)
BASTIERI DENIS (Supplente)
9 Sperimentazioni di Fisica 2 (iniziali cognome A-L) 01/10/2018 30/11/2019 PATELLI ALESSANDRO (Presidente)
BASTIERI DENIS (Membro Effettivo)
ZALTRON ANNAMARIA (Supplente)
8 Sperimentazioni di Fisica 2 (iniziali cognome M-Z) 01/10/2017 30/11/2018 ZALTRON ANNAMARIA (Presidente)
BASTIERI DENIS (Membro Effettivo)
GIUBILATO PIERO (Supplente)
7 Sperimentazioni di Fisica 2 (iniziali cognome A-L) 01/10/2017 30/11/2018 BASTIERI DENIS (Presidente)
ZALTRON ANNAMARIA (Membro Effettivo)
COLLAZUOL GIANMARIA (Supplente)
PATELLI ALESSANDRO (Supplente)

Syllabus
Prerequisites: Attendance at the laboratory activities of the "Physics Experiments 2" course is subject to having attended "Physics 1 Experiments" and "General Physics 1" at the start date of the laboratory activities.
Access to the "Physics Experiments 2" assessment tests is subject to having passed the "Physics 1 Experiments" and "General Physics 1" exams.
Target skills and knowledge: - Part I: Statistics and Data Analysis: knowledge and know-how of the expansion in sine waves and of the Fourier and Laplace transformations of generic and characteristic functions as tool for the study of physics phenomena; knowledge and know-how of advanced tools for statistical data analysis in scientific R&D contexts.
- Part II: Laboratory of Electromagnetism and Circuits, Optics: Implementation of simple electrical circuits with direct and alternate current and measurement of some typical quantities. Training on the use of electronics measurement devices. Measurement and analysis techniques in geometrical and wave optics.
Examination methods: The final assessment includes the evaluation of the module on Statistics and Data Analysis (I), consisting in an oral interview, and the evaluation of the Laboratory activity (II) consisting in a written report on the experiment, a written test on the contents of the module, and a practical test in laboratory.
Assessment criteria: correct and complete presentation of the proposed contents at the oral of written test; correct and appropriate use of the instrumentation, realization of the experiment and data analysis.
Course unit contents: - Part I: Statistics and Data Analysis:
Heaviside and Dirac functions: formal properties and applications. Fourier transform:
Fourier series and integral; transform and anti-transform; examples. Laplace transform and anti-transform; use of the Laplace transform for differential equation solving.
PDF: Probability Density Function(s): Normal Density (basics); Moments, Cumulative Function, Characteristic Function; Uniform and Binomial Density (basics); Poisson and t-Student Density; Correlations, Pearson Coefficients. Likelihood and Bayes Theory: Likelihood function (basics); Bayes Theorem. Hypothesis Test and statistics tests: confidence intervals; p-value. Cramer-Rao theorem and Neyman-Pearson Lemma.
- Part II: Laboratory of Electromagnetism, Optics and Electronics:
Theory basics on electrical circuits and networks with direct and alternate current. Two-ports and equivalent circuits. RC and RLC circuits. Transmission lines. Basics of geometrical and wave optics. Slit diffraction. Focal length and aberrations. Faraday effect. Prism and diffraction grating.
Description of the lab sessions and used instrumentations.
Laboratory experiments
- resistance measurements on direct current circuits.
- principle of operation and basics of the oscilloscope;
- RC circuit in series: decay constant and frequency response;
- RLC circuit in series: damped oscillations and resonance curve;
- transmission lines;
- measurements of focal lengths;
- aberration phenomena characterization;
- diffraction from 2,3,4 slits
- Faraday effect
- measurement of the emission wavelengths by an atomic source with a grating spectroscope
- index of refraction measurements and the prism spectrometer
Planned learning activities and teaching methods: - Part I: Statistics and Data Analysis: classes on the contents of the course:
- Part II: Laboratory of Electromagnetism and Circuits, Optics: classes on the contents of the course, weekly group activity (typically 3 students) consisting in laboratory experiments and final report writing.
Additional notes about suggested reading: lecture-books, slides
Textbooks (and optional supplementary readings)
  • M. Loreti, Teoria degli errori e fondamenti di statistica. http://wwwcdf.pd.infn.it/labo/: --, --. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Working in group
  • Action learning
  • Problem solving

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)

Sustainable Development Goals (SDGs)
Quality Education Gender Equality Climate Action