Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours lectures and 12 tutorials and 12 hours of practical classes |
Total Time Commitment: 120 hours
431-221 Fundamentals of Signals and Systems and 431-201 Engineering Analysis A (prior to 2001, 421-204 Engineering Analysis A) and 431-202 Engineering Analysis B (prior to 2001, 421-205 Engineering Analysis B) or equivalent.
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||620-201 probability|
|Core Participation Requirements:||For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/|
CoordinatorAssoc Prof Girish Nair
ContactMelbourne School of Engineering
Building 173, Grattan Street
The University of Melbourne
VIC 3010 Australia
General telephone enquiries
+ 61 3 8344 6703
+ 61 3 8344 6507
+ 61 3 9349 2182
+ 61 3 8344 7707
This subject builds on the concepts developed in 431-221 Fundamentals of Signals and Systems. It aims to give students basic skills in the modelling and analysis of stochastic signals and systems for the analysis and design of modern telecommunication systems and control systems.
Topics include basic concepts: introduction to probability concepts; discrete and continuous random variables, and their distributional properties and moments; transformation of random variables; simulation of random variables; sums of random variables and central limit theorem; random signals in communications: random processes; stationarity; models of stochastic signals used in communications system analysis, including Gaussian processes, signal spectra and power spectral density; linear communication and control systems with stochastic inputs; poisson process; stimulation of communcation systems.
On completing this subject the student should be able to:
|Prescribed Texts:||Leon-Garcia, Probability and Random Processes for Electrical Engineering|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Credit may not be obtained for both 431-325 Stochastic Signals and Systems and 620-201 Probability.
Bachelor of Engineering (Computer Engineering) |
Bachelor of Engineering (Computer Engineering)/Bachelor of Science
Bachelor of Engineering (Computer) and Bachelor of Arts
Bachelor of Engineering (Electrical Engineering)
Bachelor of Engineering (Electrical Engineering)/Bachelor of Science
Bachelor of Engineering (Electrical) and Bachelor of Arts
Bachelor of Engineering (Electrical) and Bachelor of Commerce
Bachelor of Engineering (Electrical) and Bachelor of Laws
Bachelor of Engineering (Electrical) and Bachelor of Science
Bachelor of Engineering (EngineeringManagement) Computer
Bachelor of Engineering (EngineeringManagement) Electrical
Bachelor of Engineering (IT) Computer Engineering
Bachelor of Engineering (IT) Electrical Engineering
Postgraduate Certificate in Engineering
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