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We are aiming for an incremental return to campus in accordance with guidelines provided by NSW Health and the Australian Government. Until this time, learning activities and assessments will be planned and scheduled for online delivery where possible, and unit-specific details about face-to-face teaching will be provided on Canvas as the opportunities for face-to-face learning become clear.

Unit of study_

COMP5416: Advanced Network Technologies

The unit introduces networking concepts beyond the best effort service of the core TCP/IP protocol suite. Understanding of the fundamental issues in building an integrated multi-service network for global Internet services, taking into account service objectives, application characteristics and needs and network mechanisms will be discussed. Enables students to understand the core issues and be aware of proposed solutions so they can actively follow and participate in the development of the Internet beyond the basic bit transport service.

Details

Academic unit Computer Science
Unit code COMP5416
Unit name Advanced Network Technologies
Session, year
? 
Semester 2, 2020
Attendance mode Normal evening
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

Prohibitions
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None
Prerequisites
? 
None
Corequisites
? 
None
Assumed knowledge
? 

ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116

Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator Wei Bao, wei.bao@sydney.edu.au
Type Description Weight Due Length
Final exam (Open book) Type C final exam Final exam
Type C
60% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO7
Assignment Assignment 1
20% Week 06 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment Assignment 2
20% Week 12 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Type C final exam = Type C final exam ?

Demonstrating the ability to test, measure, simulate, and analyse protocals and network performance. 

Assignment 1 covers Weeks 1-6.

Assignment 2 covers Weeks 7-12.

Final exam covers Weeks 1-12. 

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.

For more information see sydney.edu.au/students/guide-to-grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Consistent penalty of 5% per day late. Assignments more than 10 days late get 0.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Week 01 Introduction, Network overview Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Delays and latency Tutorial (1 hr) LO1 LO2 LO7
Week 02 Network performance, Application layer 1 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Wireshark experiment Tutorial (1 hr) LO3 LO6
Week 03 Application layer 2 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
TCP/UDP client/server in Python Tutorial (1 hr) LO3 LO6
Week 04 Transport layer 1 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Basic math for network analysis Tutorial (1 hr) LO5
Week 05 Transport layer 2 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Transport layer principles and TCP Tutorial (1 hr) LO1 LO2 LO7
Week 06 Topics in network science: Queueing Theory Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Queue simulator Tutorial (1 hr) LO4 LO5 LO7
Week 07 Multimedia network Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Multimedia and video streaming Tutorial (1 hr) LO2 LO3 LO4 LO7
Week 08 Multimedia network Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Real-time streaming protocol Tutorial (1 hr) LO2 LO3 LO4 LO7
Week 09 Mobile network 1 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Scheduling and queues for multimedia networks Tutorial (1 hr) LO1 LO2 LO4 LO5
Week 10 Mobile network 2 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Advanced socket programming Tutorial (1 hr) LO3 LO6
Week 11 Topics in network science: Network optimisation and optimisation perspective of TCP Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Wireless networks: noise and bit-error rate Tutorial (1 hr) LO1 LO5 LO6 LO7
Week 12 Recent advances in computer networks Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
1. Summary and review; 2. Q&A Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. understand the need for QoS management, philosophies applied to different standards today, and system solutions
  • LO2. analyse the transmission behaviour in terms of throughput and latency, and understand the differences introduced with general congestion control
  • LO3. construct networks and calculate performance metrics and dimension, according to specification
  • LO4. understand current frameworks and standards families for QoS implmentation, and realisation of queuing management
  • LO5. understand statistical concepts, probability distributions, and other theories underpinning the area of distributed systems
  • LO6. implement network protocols from scratch, according to a given specification, to carry out on a network of computers
  • LO7. analyse the results of simulation and experimental studies, and appreciate the relative merit/accuracy of obtained results.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
No significant changes have been made since this unit was last offered.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.