Any quantity evolving randomly in time or/and space is called a stochastic process. Evolution of prices on the Stock Exchange, number of bacteria in an infected organism, spread of SARS, intensity of Internet traffic, wind velocity at different times at a location in Sydney area are well known and important examples of stochastic processes.

The theory of stochastic processes is a fascinating branch of Mathematics where sophisticated tools from Probability Theory, Analysis and Differential Equations are combined with modelling of various real world phenomena. In this course you will learn about the most important classes of stochastic process like: Branching Processes, Poisson Process, Martingales and Brownian Motion and their applications to modelling in Biology, Finance and Engineering.