- Docente: Andrea Bonfiglioli
- Credits: 8
- SSD: MAT/05
- Language: Italian
- Moduli: Andrea Bonfiglioli (Modulo 1) Marco Lenci (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Ravenna
- Corso: First cycle degree programme (L) in Environmental Sciences (cod. 8011)
Learning outcomes
At the end of the course, the student will know the basic tools of multivariate calculus; he knows how to calculate simple curvilinear integrals and double integrals; he is also able to solve certain types of Ordinary Differential Equations (ODE) and systems of ODE. He also has knowledge of the basics of probability and statistics in order to analyze data and he is able to study the behavior of samples of a random variable.
Course contents
PART ONE:
R^N: vectors, distance, topology, limit, continuity;
partial derivatives and differentiability; Jacobian and Hessian
matrices;
free extremals; line integrals and the theorem of Poincaré;
double integrals and change of variable;
ODE: general theorems, linear ODE of the first order; separation
of variables; ODE of second order with constant coefficients;
Some introductory material to the stability of systems.
PART TWO:
Descriptive Statistics. Organization and description of data.
Probability. Sample space and events. Axioms of probability theory.
Conditional probability. Independent events. Discrete and continuous random variables. Expected value and variance. Models of random variables. Central Limit Theorem.
S. Ross, Probabilità e statistica per l'ingegneria e le scienze,
2nd ed. (2008), Apogeo
Readings/Bibliography
PRIMA PARTE:
Dispense del Prof. Bonfiglioli presenti sul sito di Scienze
Ambientali;
libro: "Analisi matematica. Vol. 2", di Pagani C, Salsa S.
Zanichelli, 1991
SECONDA PARTE:
S. Ross, Probabilità e statistica per l'ingegneria e le scienze,
2nd ed. (2008), Apogeo
Teaching methods
PART ONE:
Classroom lessons and classroom exercises.
PART TWO:
Classroom lectures and recitations.
Assessment methods
PART ONE:
written examination.
PART TWO:
written examination.
Teaching tools
Learning module: Analysis
Teaching material (photocopies, files, notes) distributed in class
or on the website;
exercises assigned in class or from the website.
Learning module: Statistics:
Web site for the learning module "Probability and
Statistics":
http://www.dm.unibo.it/~lenci/teaching/15/ps/
Office hours
See the website of Andrea Bonfiglioli
See the website of Marco Lenci