This unit introduces basic notions and applications of random processes, i.e. randomly evolving dynamical systems which exhibit dependencies over time. The core material focuses on the simplest and most important class of such processes, namely, Markov dependent processes which occupy discrete states and evolve in discrete or continuous time. Fundamental concepts and properties are introduced and explained (rather than proved). This unit emphasises modelling and numerical computation. -- Course Website
Instructor: Associate Professor Gopalan Nair
Prerequisites: STAT2061 Probability and Mathematical Statistics
