- One Semester or equivalent
- 60 hours
On-campus unit delivery combines face-to-face and digital learning.
2021 teaching periods
|Higher Ed. Semester 2|
Last self enrolment:
Last withdraw without fail:
Engineering Mathematics 3A (MTH20004) or
Engineering Mathematics 3C (MTH20006) or
Engineering Mathematics 3A/3M (MTH20007) or
Mathematics 3A (MTH20010) or
Mathematics 3B (MTH20014)
Some familiarity with probability and statistics
Aims and objectives
This unit of study aims to convey the fundamental probability concepts necessary for an understanding of stochastic processes, introduce stochastic processes and some important related concepts, illustrate the usefulness of stochastic modelling by considering various different types of stochastic processes and how they can be applied in a range of scientific, engineering and other contexts, and examine how probability distributions can be used to model system reliability and lifetimes.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Use and interpret the concepts of conditional and joint probability distribution, conditional expectation, covariance and correlation.
2. Recognise situations where different types of stochastic process arise, and apply a sound working knowledge of relevant concepts and methods to solve theoretical and practical problems.
3. Use simple survival analysis methods to model failure rates and investigate failure time distributions.