Simulation Theory and Application

Course aim

Introduce the theory and practice of computer simulation of random and deterministic systems.

Course content

Review of probability; random numbers; simulation of discrete and continuous random variables; discrete event simulation; review of statistics; variance reduction techniques; statistical validation techniques; Markov Chain Monte Carlo Methods; simulating solutions to differential equations.

Textbook(s)

Ross, S. 2006, Simulation, 4th edition, Academic Press

Prerequisite(s)

Common to all relevant programs
Subject Area & Catalogue Number	Course Name
MATH 2030	Applied Probability

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Directed Study	N/A x 13 weeks

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Problem solving exercise, Project

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 1)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.