Physics, physics lab, lab of mathematical and statistical methodologies

A.Y. 2020/2021
12
Max ECTS
144
Overall hours
SSD
FIS/06 FIS/07 MAT/06 SECS-S/02
Language
Italian
Learning objectives
The aim of the course is to provide students with the physical and statistical background needed for the quantitative understanding of biological phenomena. Furthermore, it will provide the knowledge of the physical principles behind many lab instruments as well as the statistical tools to correctly interpret experiments.
Expected learning outcomes
After following this course, the students will know the fundamental principles of classical physics and statistics. The students will know how to apply them to solve simple problems and how to quantitatively approach the biosciences.
Course syllabus and organization

A - L

Responsible
Lesson period
Second semester
Modulo: Fisica
FIS/07 - APPLIED PHYSICS - University credits: 6
Practicals: 16 hours
Lessons: 40 hours
Professor: Bettega Daniela
Modulo: Laboratorio di Fisica
FIS/06 - PHYSICS OF THE EARTH AND OF THE CIRCUMTERRESTRIAL MEDIUM - University credits: 3
Practicals: 32 hours
Laboratories: 16 hours
Shifts:
Professor: Perini Laura
Turno 1
Professor: Perini Laura
Turno 2
Professor: Perini Laura
Turno 3
Professor: Gallo Salvatore
Modulo: Laboratorio di metodi matematici e statistici
MAT/06 - PROBABILITY AND STATISTICS - University credits: 0
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 0
Laboratories: 32 hours
Lessons: 8 hours

M - Z

Responsible
Lesson period
Second semester
Prerequisites for admission
Have attended the basic course in calculus of the first semester.
Modulo: Fisica
Teaching Resources
R. A. Serway, J. W. Jewett "Principi di Fisica" EdiSES, additional notes, exercises and exams examples are available on Ariel.
Modulo: Laboratorio di Fisica
Teaching Resources
R. A. Serway, J. W. Jewett "Principi di Fisica" EdiSES
Analisi degli errori sperimentali di laboratorio; L. Miramonti, L. Perini, I. Veronese; EdiSES
Modulo: Laboratorio di metodi matematici e statistici
Course syllabus
Descriptive statistics.
Population sampling. Types of data and variables. Subdivision of data into classes and creation of frequency tables. Histogram and histogram/bars.Centrality indexes (mean, mode, median, midrange), dispersion indexes (range, standard deviation, variance), percentiles, quartiles. Outliers. Boxplots.
Probability and random variables.
Sample space, events, probability of events. Probability of union and intersection of events. Complementary events. Independent events. Conditional probability. Bayes theorem. Factorial and binomial coefficients. Random variables. Expected value, variance and standard deviation of discrete random variables. Discrete random variables: binomial and Poisson. Continuous random variables: uniform and normal. Standardization and calculations with the normal distribution. Percentiles. Normal approximation of binomial distribution.
Inferential statistics.
Fundamental concepts: population, sample, parameters, statistics, estimators. Sample mean behavior: large number law and central limit theorem. Confidence interval: general concepts. Confidence interval for a proportion. Confidence interval for the mean, both with known and unknown standard deviation. Student's distribution. Hypothesis test. General concepts: null and alternative hypothesis, first and second kind errors, significativity level, power function, p-value, statistics of the test, critical region. Test on the proportion. Test on the mean (both with known and unknown variance). Inference on two samples. Inference on two proportions. Inference on two means, both for independent and paired samples.
Linear regression and non-parametric precedures.
Covariance and correlation. Simple linear regression. Test on regression coefficients and model validation. Chi-square distribution. Test of independence and good adaptation.
Teaching methods
The course is held through lectures mainly on the blackboard.
The student is encouraged to ask questions, to participate actively in the class discussion to improve his / her logical-analytical reasoning skills, to take a scientific and critical attitude to problems with uncertainty aspects, to use the precise technical language of the matter as well as its specific methodologies for solving statistical problems.
Teaching Resources
Sheldon Ross, Probabilità e statistica per l'ingegneria e le scienze (terza edizione), Maggioli Editore (2015)
Modulo: Fisica
FIS/07 - APPLIED PHYSICS - University credits: 6
Practicals: 16 hours
Lessons: 40 hours
Professor: Camilloni Carlo
Modulo: Laboratorio di Fisica
FIS/06 - PHYSICS OF THE EARTH AND OF THE CIRCUMTERRESTRIAL MEDIUM - University credits: 3
Practicals: 32 hours
Laboratories: 16 hours
Professor: Miramonti Lino
Shifts:
Professor: Miramonti Lino
Turno 1
Professor: Miramonti Lino
Turno 2
Professor: Miramonti Lino
Modulo: Laboratorio di metodi matematici e statistici
MAT/06 - PROBABILITY AND STATISTICS - University credits: 0
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 0
Laboratories: 32 hours
Lessons: 8 hours
Professor(s)
Reception:
Monday at 12.00
Physics Dept.
Reception:
Monday 14-16 by appointment by email; other days by appointment by email
online meeting
Reception:
Monday 14-15 and 17.30 18.30
Office at Physics Department
Reception:
Please write an email
Room of the teacher or online room