Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject is not offered in 2012.
|Time Commitment:||Contact Hours: 24 hours; Non-contact time commitment: 96 hours |
Total Time Commitment: 120 hours
|Prerequisites:|| Enrolment in a research higher degree(Masters or PhD) in Engineering |
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|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/|
Dr. Marcus Nathan Brazil
|Subject Overview:||Topics include: data compression and channel capacity, including Shannon's celebrated source coding theorem, and noisy channel coding theorem. Other topics are to be selected from coding theory, rate distortion theory, network information theory, and other applications to communications theory and statistical inference, data compression and channel capacity, including Shannon's celebrated source coding theorem, and noisy channel coding theorem.|
|Objectives:||The aim of this subject is to give students a rigorous introduction to the basic, fundamental theorems and proofs of the subject.|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Master of Philosophy - Engineering |
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