Overview
This is an advanced level course in probability theory and stochastic processes for mathematics/statistics and data science students. Topics covered include rigorous definition of probability and random variables; convergence of random variables; Poisson and Wiener process, and Ito Calculus. This version of the course will require knowledge of more proofs … For more content click the Read More button below.
Conditions for Enrolment
Prerequisite: MATH2901 or MATH2801(DN) and MATH2501 or MATH2601 and MATH2011 or MATH2111
Exclusion Courses
Delivery
Multimodal - Standard (usually weekly or fortnightly)
Fees
Type | Amount |
---|---|
Commonwealth Supported Students (if applicable) | $579 |
Domestic Students | $7320 |
International Students | $7320 |
Pre-2019 Handbook Editions
Access past handbook editions (2018 and prior)