STOCHASTIC PROCESSES
Stampa
Enrollment year
2016/2017
Academic year
2016/2017
Regulations
DM270
Academic discipline
MAT/06 (PROBABILITY AND MATHEMATICAL STATISTICS)
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Course
MATHEMATICS
Curriculum
PERCORSO COMUNE
Year of study
Period
2nd semester (01/03/2017 - 09/06/2017)
ECTS
6
Lesson hours
48 lesson hours
Language
ITALIAN
Activity type
ORAL TEST
Teacher
RIGO PIETRO (titolare) - 6 ECTS
Prerequisites
The course "Probability" of the Laurea Magistrale. As a consequence, "Stochastic Processes" is not suggested to students of the Laurea Triennale.
Learning outcomes
This course is the natural continuation of "Probability" (Laurea Magistrale). The characteristic arguments are Markov chains and Itô calculus.
Course contents
1. General notions about stochastic processes;

2. Continuous time martingales;

3. Markov chains;

4. Brownian motion and Poisson process;

5. Ito calculus and stochastic differential equations.
Teaching methods
Lessons. (Exercises will be also discussed during such lessons).
Reccomended or required readings
1. Z. Brzezniak, T. Zastawniak: Basic stochastic processes-a course through exercises (Springer)

2. A. Shiryaev: Probability (Springer)

3. Notes given by the teachter
Assessment methods
Oral examination.
Further information
None.
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