Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours of lectures |
Total Time Commitment:
|Recommended Background Knowledge:|| |
|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 Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorAssoc Prof Tansu Alpcan
This subject provides an introduction to the basic principles, analysis, and design of distributed systems and game theory within an engineering context, encompassing fundamental concepts, analytical tools, and algorithms. It focuses on multi-person decision making on distributed systems and game-theoretic approaches to resource allocation. Both static, distributed, and convex optimisation and (non)linear dynamical systems are studied. The concepts and methods discussed are illustrated in multiple application areas including Internet of Things (IoT), smart grid and power systems, cyber-security, and communication networks.
The concepts taught in this subject will allow for a better understanding of distributed systems and provide much needed expertise for analysis and design of such systems using game theory.
Topics covered may include:
On completion of this subject, it is expected that the student will:
1. Utilise mathematical tools and methods quantitatively to analyse and design distributed systems and algorithms.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of this subject, it is expected that the student will have developed the following generic skills:
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