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
 

Code

25_I_G_S07_MTH_A_1FH

Responsibles

  • Pierre ROUX
  • Laurent SEPPECHER

Language

French

Keywords

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