• Semester 1 (Day)

Synopsis

This  unit  consists  of  techniques and  applications  of  stochastic
modelling.  A prerequisite level of mastery of statistical  theory  to
that  covered in 64621 Distribution Theory (or equivalent) is required
and  it  is  desirable  that students should  also  have  covered  the
stochastic  modelling module of 64636 Advanced Engineering Mathematics
A. Topics covered include Poisson processes, Markov processes, renewal
processes, random walks and diffusion processes.