Mathematics and Physics

A.Y. 2018/2019
10
Max ECTS
96
Overall hours
SSD
FIS/01 FIS/02 FIS/03 FIS/04 FIS/05 FIS/06 FIS/07 FIS/08 MAT/01 MAT/02 MAT/03 MAT/04 MAT/05 MAT/06 MAT/07 MAT/08 MAT/09
Language
Italian
Learning objectives
Lo scopo dell'unità didattica di Matematica e Statistica è fornire le fondamentali nozioni della matematica e della statistica ed evidenziare le principali applicazioni pratiche della statistica nel campo delle produzioni animali.
Lo scopo dell'unità didattica di Fisica è fornire allo studente la comprensione dei principi della fisica di base (meccanica, termodinamica, elettrologia, fenomeni ondulatori) illustrandone la rilevanza con esempi concreti, e metterlo in grado di risolvere semplici esercizi in cui questi principi vengono applicati a problemi specifici.
Expected learning outcomes
Undefined
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Lesson period
First semester
ATTENDING STUDENTS
Website
http://rrizzimf.ariel.ctu.unimi.it/v5/home/Default.aspxhttp: /DocentiAContratto/BERTINI-STEFANO-05V_ITA_HTML.html
Modulo: Principi di fisica
Course syllabus
Introductory topics: physical quantities and units; order of magnitude; significant figures. Scalar and vector quantities; sum of vectors; scalar and vector product; representation of a vector by its coordinates.

Kinematics: average and istantaneous velocity; average and istantaneous acceleration; rectilinear motion at constant velocity and constant acceleration; circular motion at constant speed; parabolic motion; harmonic motion.

Dynamics of a material point: Newton's laws with applications; gravity; elastic force; vincular reactions; friction; a brief overview of the dynamics of continuum bodies and systems of several bodies; momentum; center of mass; torque; law of the lever.

Work and energy: definition of work; kinetic energy theorem; conservative forces; stable and unstable equilibria; mechanical energy conservation with applications.

States of matter: a brief overview of intermolecular forces; a qualitative descripion of gas, liquid, and solid states.

Statics and dynamics of liquids: pressure; Pascal's law; Stevin's law; Archimedes' law; flow rate; Bernoulli's theorem with applications.

Thermodynamics: internal energy; heat; temperature; modes of heat transfer; thermal capacity; equation of state of an ideal gas; expansion and compression work; first and second principles of thermodynamics; thermodynamic cycles, Carnot cycles, Carnot's theorem, a cusory glance at entropy.

Electricity: electric charge; Coulomb's law; electric field generated by a point charge, uniform electric field, electric potential;electric field flow, Gauss theorem, electric current; resistance; Ohm's law,law at the nodes, Kirchhoff's law.
Modulo: Matematica e statistica
Course syllabus
Didactics
Significant figures, scientific notation, rounding numbers (1 hour)
Percents, ratios, fractions, proportions (1 hour)
Linear and quadratic equations (2 hours)
Systems of linear equations (1 our)
Functions, derivatives and graphic representation (1 hour)
Populations and samples. Type of statistic variables. Absolute and relative frequencies. Frequency distributions (3 hours)
Descriptive statistics: Mean. Median. Mode. Measures of dispersion: deviance, variance, standard deviation, coefficient of variation, range (2 hours)
Probability. Probability distributions (2 hours)
Comparing proportions. Binomial distribution. Poisson distribution (2 hours).
Normal distribution: Standardized variable (z), standard normal distribution table,. Asimmetry and kurtosis (3 hours)
Sampling distribution of a mean. The confidence interval of a mean. The sampling distribution of a proportion. Student's t-distribution. Comparison between two means (4 hours)
Hypothesis testing: Type I and TYPE II errors (2 hours)
The Chi-squared test. Contingency tables (2 hours)
Covariance. Correlation. Linear regression. (3 hours)
Analysis of variance (ANOVA): partioning of total sum of squares. The F-test. (2 hours)
Practice
- mathematics (2 hours)
- descriptive statistics (2 hours)
- normal distribution (2 hours)
- correlation and regression (2 hours)
- analysis of variance (2 hours)
- sampling distribution (3 hours)
- proportion, Chi-squared test (3 hours)
NON-ATTENDING STUDENTS
Modulo: Principi di fisica
Course syllabus
The course program is the same as described for attending students
Modulo: Matematica e statistica
Course syllabus
The course program is the same as described for attending students
Modules or teaching units
Modulo: Matematica e statistica
MAT/09 - OPERATIONS RESEARCH
MAT/08 - NUMERICAL ANALYSIS
MAT/07 - MATHEMATICAL PHYSICS
MAT/06 - PROBABILITY AND STATISTICS
MAT/05 - MATHEMATICAL ANALYSIS
MAT/04 - MATHEMATICS EDUCATION AND HISTORY OF MATHEMATICS
MAT/03 - GEOMETRY
MAT/02 - ALGEBRA
MAT/01 - MATHEMATICAL LOGIC
Practicals: 16 hours
Lessons: 32 hours
Professor: Rizzi Rita Maria

Modulo: Principi di fisica
FIS/02 - THEORETICAL PHYSICS, MATHEMATICAL MODELS AND METHODS
FIS/03 - PHYSICS OF MATTER
FIS/04 - NUCLEAR AND SUBNUCLEAR PHYSICS
FIS/05 - ASTRONOMY AND ASTROPHYSICS
FIS/06 - PHYSICS OF THE EARTH AND OF THE CIRCUMTERRESTRIAL MEDIUM
FIS/07 - APPLIED PHYSICS
FIS/08 - PHYSICS TEACHING AND HISTORY OF PHYSICS
FIS/01 - EXPERIMENTAL PHYSICS
Practicals: 16 hours
Lessons: 32 hours
Professor: Bertini Stefano