Fundamentals of Network Design

Subject ELEN90002 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: one 3- hours lecture per week
Total Time Commitment: 120 hours
Prerequisites:

4-year Electrical Engineering degree or equivalent.
Corequisites: None
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/

Coordinator

Dr Robert Warfield

Contact

Melbourne School of Engineering Office
Building 173, Grattan Street
The University of Melbourne
VIC 3010 Australia
General telephone enquiries
+ 61 3 8344 6703
+ 61 3 8344 6507
Facsimiles
+ 61 3 9349 2182
+ 61 3 8344 7707
Email
eng-info@unimelb.edu.au
Subject Overview: This subject explores the analysis, simulation, and design of telecommunications networks by applying methods of:

  • Transforming data to provide measurement information, forecasts, and decisions about network designs in the presence of uncertainty;
  • Search and optimization techniques, and a selection of standard algorithms including shortest path, minimal spanning tree, traveling salesman, and others;
  • Computer simulation methods including real-time and Monte Carlo techniques;
  • Analysis and design of systems for availability and reliability;
  • Economic optimisation under a range of constraints and objectives;
Objectives: The aim of this subject is to provide students with state of the art knowledge and techniques so they are able to explain principles and solve problems in Network Design.
This subject is designed to prepare students for a responsible position in industry. It also includes a project that allows students who are interested in research to take on a research-oriented assignment.
Assessment:

Assessment will be based on a Team Project and a Final Examination.

  • Team Seminar on Project: 5% (group mark) ,
  • Written Report on Project. Maximum 1500 words per student: 25% (team mark),
  • Formally supervised written 3-hour examination at end of Semester: 70% This final exam is a hurdle. Students must pass the exam to pass the subject.
Prescribed Texts:

Given the breadth of the topics covered, no single text is required.

Recommended Texts:


Students will be referred to resources on the Internet for all topics. In addition, the following free books and courses are available on line:

M. Zukerman, Introduction to Queueing Theory and Stochastic Teletraffic Models, available at
http://www.ee.unimelb.edu.au/staff/mzu/classnotes.pdf

Teletraffic Engineering Handbook ITC in cooperation with ITU-D SG2, available at
http://www.tele.dtu.dk/teletraffic/

Graph Theory book available at
HTTP://www.math.uni-hamburg.de/home/diestel/books/graph.theory/

Linear Optimisation Course available at

HTTP://ubmail.ubalt.edu/~harsham/opre640a/partVIII.htm
Breadth Options:

This subject is not available as a breadth subject.
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

At the end of the course, students will have developed:

  • Knowledge of the application of mathematical and computing techniques to the solution of engineering problems;
  • Problem-solving abilities;
  • Understanding of the value of their knowledge to prospective employers;
  • The ability to pursue lifelong learning goals;
  • Skills to manage competing demands on time
Related Course(s): Master of Software Systems Engineering
Master of Telecommunications Engineering
Master of Telecommunications Engineering
Postgraduate Certificate in Engineering

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