
Course unit
PHYSICS EXPERIMENTS 2 (Iniziali cognome AL)
SCP3050166, A.A. 2019/20
Information concerning the students who enrolled in A.Y. 2018/19
ECTS: details
Type 
ScientificDisciplinary 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 
24 
0.0 
No turn 
Laboratory 
5.0 
54 
71.0 
2 
Lecture 
6.0 
48 
102.0 
No turn 
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 knowhow 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 knowhow 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 antitransform; examples. Laplace transform and antitransform; 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 tStudent Density; Correlations, Pearson Coefficients. Likelihood and Bayes Theory: Likelihood function (basics); Bayes Theorem. Hypothesis Test and statistics tests: confidence intervals; pvalue. CramerRao theorem and NeymanPearson Lemma.
 Part II: Laboratory of Electromagnetism, Optics and Electronics:
Theory basics on electrical circuits and networks with direct and alternate current. Twoports 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:

lecturebooks, slides 
Textbooks (and optional supplementary readings) 

M. Loreti, Teoria degli errori e fondamenti di statistica. http://wwwcdf.pd.infn.it/labo/: , .

Innovative teaching methods: Teaching and learning strategies
 Working in group
 Problem solving
 Auto correcting quizzes or tests for periodic feedback or exams
 Active quizzes for Concept Verification Tests and class discussions
 Use of online videos
 Loading of files and pages (web pages, Moodle, ...)
Innovative teaching methods: Software or applications used
 Moodle (files, quizzes, workshops, ...)

