Probability theory and introduction to random processes

Goals

Advanced mathematics for mathematical enginneering with a focus on measure theory, probability theory. This course is a pre-requisit for stochastic processes, machine learning, mathematical finance or biomathematics. The remaining of the course concerns the bases of functional analysis and a glimpse of partial differential equations.

Programme

  1. Measure theory, integrals, probability theory
  2. Topology, functional analysis, introduction to partial differential equations
Autonomy
12h
 
Study
4h
 
Course
18h
 
TC
14h
 

Responsibles

  • Pierre ROUX
  • Laurent SEPPECHER

Language

French

Keywords

measure theory, integrals, topology, functional analysis, probability theory, partial differential equations