Stochastic Modelling and Survival Analysis

MTH80001 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 60 hours

On-campus unit delivery combines face-to-face and digital learning.

2021 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
2 Aug 21 - 31 Oct 21

Results:
7 Dec 21

Last self enrolment:
15 Aug 21

Census:
31 Aug 21

Last withdraw without fail:
17 Sep 21


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.