Unit Overview

Description

This unit presents the modern computationally intensive methods in statistics. Particular emphasis is placed on the use of these methods in real data applications. Data sets are analysed using statistical software. The unit's topics cover simulation and Monte Carlo, bootstrap methods, Markov Chain Monte Carlo (MCMC) methods, Bayesian inference, and statistical/machine learning. These computer-intensive methods are standard practice for statisticians and researchers in medicine, biology, the social sciences, and business.

Credit
6 points
Offering
AvailabilityLocationModeFirst year of offer
Not available in 2026UWA (Perth)On-campus
Outcomes

Students are able to (1) apply numerical methods to solve mathematical problems, like derivatives, integration, etc.; (2) apply computationally intensive statistical techniques in simulation studies and to real-world problems; (3) develop computational techniques in general, but statistical computing techniques in particular, and adapt known solutions to different situations; and (4) perform advanced data analysis methods using statistical computing techniques.

Assessment

Indicative assessments in this unit are as follows: (1) assignments and (2) a final examination. 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 Michael Bertolacci
Unit rules
Prerequisites
STAT3062 Statistical Science
or STAT4064 Applied Predictive Modelling
or STAT3406 Applied Statistics and Data Visualisation
Incompatibility
STAT4063 Computationally Intensive Methods in Statistics
Advisable prior study
STAT2402 Analysis of Observations
or STAT2062 Fundamentals of Probability with Applications
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.