• Offered by School of Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Engineering
  • Areas of interest Accounting

This course has been adjusted for remote participation in Semester 1 2021.

This course studies the standard models for the layered approach to communication between autonomous machines in a network, and the main characteristics of data transmission across various physical link types. It considers how to design networks and protocols for diverse situations, analyses several application and support protocols from a distributed systems viewpoint, and identifies significant problem areas in networked communications.


Topics include: communication network architectures, signalling and modulation across physical media, real-world local and wide-area networks, internet protocol fundamentals, performance and monitoring of networks, routing, network security, and application protocols for distributed systems including web, email, video, internet-of-everything and other contemporary network topics.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Understand and describe the layered protocol model
  2. Describe, analyse and compare a number of datalink, network, and transport layer protocols
  3. Program simple network communication services for client/server and other application layouts
  4. Describe and analyse various related technical, administrative and social aspects of specific computer network protocols from standards documents and other primary materials found through research
  5. Design and/or analyse networks and services for homes, data centres, IoT/IoE, LANs and WANs

Indicative Assessment

  1. Assignments (30) [LO 1,2,3,4,5]
  2. Mid-semester Exam (20) [LO 1,2,3,4,5]
  3. Final Exam (50) [LO 1,2,3,4,5]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Inherent Requirements

Requisite and Incompatibility

To enrol in this course you must be studying Master of Engineering or Master of Machine Learning and Computer Vision. Incompatible with ENGN3539, COMP3310 and COMP6331.

Prescribed Texts

Tanenbaum, Andrew S., Wetherall, David J., Computer Networks, Prentice Hall, 5th edition, 2011.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees

Student Contribution Band:
2
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2021 $4410
International fee paying students
Year Fee
2021 $5880
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4568 22 Feb 2021 01 Mar 2021 31 Mar 2021 28 May 2021 In Person N/A

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