PROBABILITY INSTITUTIONS Single channel

Chair (Coordinator) and Rapporteur: VITTORIA SILVESTRI

Objectives


General Goals: rigorous knowledge of probabilistic models from
applications to the relationship with other part of mathematic.

Specific goals:

Knowledge and understanding: at the end of the course the student will
have acquired the basic notions and results related to probability
spaces, random variables, independence, laws of large numbers,
characteristic functions, weak convergence, limit theorems.

Apply knowledge and understanding: at the end of the
course the student will be able to solve simple problems that require
the use of probabilistic techniques both in applications and in
problems of pure mathematics.

Critical and judgmental skills: the student will have the basis to
analyze the analogies and the relationships between the topics covered
and topics of analysis or mathematical physics; will also acquire the
tools that have historically led to the solution of classical
problems.

Communication skills: ability to expose the contents in the oral part
of the assessment and in any theoretical questions present in the
written test.

Learning skills: the acquired knowledge will allow a study, individual
or given in an LM course, related to more specialized aspects of
probability.

Prerequisites

Probability I

Programme

1. Topics from Probability I and measure theory
2. Expectation and conditional expectation of a random variable
3. Discrete time martingales
4. Continuous time martingales
5. Brownian motion

Books

R. Durrett Probability: Theory and Examples. Wadsworth 1991
O. Kallenberg Foundations of Modern Probability. Springer 1997
J.F.C. Kingman Poisson Processes. Oxford Studies in Probability
P. M¨orters and Y. Peres Brownian motion. Cambridge University Press 2010
L.C.G. Rogers and D. Williams Diffusions, Markov processes, and Martingales Vol. I (2nd edition). Wiley 1994
D.W. Stroock Probability Theory – An analytic view. Cambridge University Press 1993
D. Williams Probability with Martingales. Cambridge University Press 1991

Lessons mode

Lectures and example classes

Frequency

Attendance is not compulsory.

Exam mode

There will be a written exam and an oral exam.

Example exam questions

Exam simulations will be made available on the course webpage.

  • Academic year2024/2025
  • Degree program to which the course belongsMathematics
  • Lesson code1031355
  • Year and semester1st year - 1st semester
  • Activity typeAttività formative caratterizzanti
  • Academic areaFormazione modellistico-applicativa
  • SSDMAT/06
  • Mandatory presenceNo
  • Languageita
  • CFU9 CFU
  • Total duration72 hours
  • Hours distribution72 classroom hours