Simulation Theory and Application
Undergraduate
Undergraduate
MATH 4034
Undergraduate
No
105815
4.5
No
School of Information Technology and Mathematical Sciences
Introduce the theory and practice of computer simulation of random and deterministic systems.
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.
Ross, S. 2006, Simulation, 4th edition, Academic Press
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
MATH 3025 | Differential Equations 2 |
MATH 1022 | Mathematical Modelling |
MATH 2010 | Numerical Methods 1 |
MATH 2020 | Statistical Foundations |
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Computer Practical | 2 hours x 12 weeks | ||
Lecture | 1 hour x 13 weeks | ||
INTERNAL, MAWSON LAKES | |||
Computer Practical | 2 hours x 12 weeks | ||
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.
Assignment 1, Assignment 2, Project
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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* 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.