Overview

This is an advanced level course in probability theory and stochastic processes for mathematics/statistics and data science students. Topics covered during the seminars and tutorials include rigorous definition of probability and random variables; convergence of random variables; Poisson and Wiener process, and Ito Calculus.

Conditions for Enrolment

Prerequisite: (MATH2501 or MATH2601) and (MATH2011 or MATH2111) and (MATH2801 or MATH2901)

Delivery

Multimodal - Standard (usually weekly or fortnightly)

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)