Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

This unit introduces advanced notions and applications of probability and random processes. A selection of topics from the following list are covered: time series, Markov processes, diffusion processes, Brownian motion, point processes, Ito calculus and stochastic differential equations and Martingales. Some of these topics require advanced probability theory which, if necessary, are covered first, and emphasise complex modelling suitable for many application areas (e.g. Black-Scholes option pricing theory in finance) and involves extensive numerical computation.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • Level 4 elective
  • Honours option in Mathematics and Statistics [Bachelor of Science (Honours)]
Outcomes

Students are able to (1) apply concepts of probability theory and different stochastic models to analyse problems arising in a variety of applied fields; (2) have knowledge of advanced mathematical and probabilistic techniques, and adapt their applications to different situations; (3) communicate effectively the acquired skills to others, including presenting analytic results and their applications in a logical and coherent fashion; and (4) undertake continuous learning in probability modelling and its applications.

Assessment

Indicative assessments in this unit are as follows: (1) assignments and (2) tests. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Dr Anthony Pakes
Unit rules
Prerequisites

Course Enrolment in
the HON-MTHST Mathematics and Statistics [Honours]
and STAT3061 Random Processes and their Applications
or STAT3401 Advanced Data Analysis
Contact hours
3 hours per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.