APP MTH 4050 - Modelling and Simulation of Stochastic Systems

North Terrace Campus - Semester 1 - 2015

The course provides students with the skills to analyse and design systems using modelling and simulation techniques. Case studies will be undertaken involving hands-on use of computer simulation. The application of simulation in areas such as manufacturing, telecommunications and transport will be investigated. At the end of this course, students will be capable of identifying practical situations where simulation modelling can be helpful, reporting to management on how they would undertake such a project, collecting relevant data, building and validating a model, analysing the output and reporting their findings to management. Students complete a project in groups of two or three, write a concise summary of what they have done and report their findings to the class. The project report at the end of this course should be a substantial document that is a record of a student's practical ability in simulation modelling. Topics covered are: Introduction to simulation, hand simulation and computer simulation, review of basic probability theory, introduction to random number generation, generation of random variates, analysis of simulation output, variance reduction techniques and basic analytic queueing models.

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Course Details

Course Code	APP MTH 4050
Course	Modelling and Simulation of Stochastic Systems
Coordinating Unit	Applied Mathematics
Term	Semester 1
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	Up to 2.5 hours per week
Available for Study Abroad and Exchange	Y
Prerequisites	MATHS 1012
Assumed Knowledge	6 units of Level II Applied Mathematics courses
Assessment	Ongoing assessment 30%, exam 70%

Course Staff

Course Coordinator: Dr Andrew Coyle

This is the same course as APP MTH 7054 - Modelling & Simulation of Stochastic Systems

Course Timetable

The full timetable of all activities for this course can be accessed from Course Planner.

Learning Outcomes

Course Learning Outcomes

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University Graduate Attributes

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Learning & Teaching Activities

Learning & Teaching Modes

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Workload

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Learning Activities Summary

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The University's policy on Assessment for Coursework Programs is based on the following four principles:

Assessment must encourage and reinforce learning.
Assessment must enable robust and fair judgements about student performance.
Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
Assessment must maintain academic standards.

Assessment Summary

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Assessment Detail

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Submission

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Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
Grade	Mark	Description
FNS		Fail No Submission
F	1-49	Fail
P	50-64	Pass
C	65-74	Credit
D	75-84	Distinction
HD	85-100	High Distinction
CN		Continuing
NFE		No Formal Examination
RP		Result Pending

Further details of the grades/results can be obtained from Examinations.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through Access Adelaide.

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Maintained by:	Course Outlines Administrator