Students

ELEC828 – Software Defined Networking

2018 – S2 Day

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Senior Lecturer
Robert Abbas
44 Waterloo RD Room 136
Thursdays 3-4 PM
Credit points Credit points
4
Prerequisites Prerequisites
Admission to MEng and 12cp at 600 level or above
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description
This unit, Software Defined Networking (SDN) will develop Knowledge and Skills on most advanced concepts and technologies to automate the network configuration and management on big scale which will improve operational efficiency and reduce costs. That can be achieved by utilizing the distribution of network control, virtualization, Network Function ventilation (NFV) and cloud computing This unit introduces Network programmability, Virtual Machine, Virtualization, Network Function ventilation (NFV) and cloud computing the basic concepts and techniques of SDN and SDN architectures, data and control planes, SDN switches, virtualization, network operating systems, controller platforms, open flow Protocol, API, self-optimized networks (SON) , SDN 4G-5G mobile applications the unit includes practical work in Networking.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.
  • Competency to apply SDN Technology for mobile communication networks and SDN Security

General Assessment Information

Notifications

Formal notification of assessment tasks, grading rubrics and due dates will be posted on iLearn. Although all reasonable measures are taken to ensure the information is accurate, The University reserves the right to make changes without notice. Each student is responsible for checking iLearn for changes and updates.

Report and Assignment Submissions

In Class Test solutions will be posted within a week after the the test date. Submissions will not be accepted once the solution is posted.

All reports and assignments must be submitted electronically through iLearn (in pdf format). Submissions will undergo plagiarism checkers using the turnitin software and any work deemed to have 20% or higher similarity score may incur academic penalty. For more details on the policies of academic penalties relating to academic honesty, please refer to the policies and procedures section below.

Submissions are expected to be typed set in a logical layout and sequence. The expected workload includes preparation of final copies and clear diagrams.

Late submissions

Late submissions will not be accepted without prior arrangement made at least one week before the submission date. Extenuating circumstances will be considered upon lodgement of a formal notice of disruption of studies.

Grading and passing requirement for unit

For further details about grading, please refer below in the policies and procedures section.

In order to pass this unit a student must obtain a mark of 50 or more for the unit (i.e. obtain a passing grade P/ CR/ D/ HD).

Student Responsibilities

Be familiar with University policy, procedures and act in accordance with those policy and procedures.

It is the responsibility of the student to retain a copy of any work submitted. Students must produce these documents upon request. Copies should be retained until the end of the grade appeal period each term.

Student is to perform the required due diligent for their assessment grade and rectify as soon as possible upon finding any errors

Assessment Tasks

Name Weighting Hurdle Due
Class Tests , Week 6,12 Class 60% No W6,W12
Project 30% No W6, W13
Student Engagement 10% No W13

Class Tests , Week 6,12 Class

Due: W6,W12
Weighting: 60%

Class Tests , Week 6,12     Class


On successful completion you will be able to:
  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.
  • Competency to apply SDN Technology for mobile communication networks and SDN Security

Project

Due: W6, W13
Weighting: 30%

W6= 10%, W12 = 20%

 

 


On successful completion you will be able to:
  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.
  • Competency to apply SDN Technology for mobile communication networks and SDN Security

Student Engagement

Due: W13
Weighting: 10%

In Class proactive approach, problem solving, Contribute to the  discussion and solutions


On successful completion you will be able to:
  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.
  • Competency to apply SDN Technology for mobile communication networks and SDN Security

Delivery and Resources

The Unit delivery consists of interactive classes, Lectures, Brain storming sessions, PBL. It is the responsibility of the students to be active and focused  regularly, attend the lectures, study the subject resources, and answer the review questions .Students will Accumulate  the  knowledge through strategies such as quizzes, problem-solving, short presentations, discussion or debates. Work related to SDN, NFV , open stack applications is performed by students in groups to encourage collaborative learning.

Project Identification deadline  W4

 

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Undergraduate students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct​

Results

Results shown in iLearn, or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au.

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.

Graduate Capabilities

PG - Capable of Professional and Personal Judgment and Initiative

Our postgraduates will demonstrate a high standard of discernment and common sense in their professional and personal judgment. They will have the ability to make informed choices and decisions that reflect both the nature of their professional work and their personal perspectives.

This graduate capability is supported by:

Learning outcomes

  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.

Assessment tasks

  • Project
  • Student Engagement

PG - Discipline Knowledge and Skills

Our postgraduates will be able to demonstrate a significantly enhanced depth and breadth of knowledge, scholarly understanding, and specific subject content knowledge in their chosen fields.

This graduate capability is supported by:

Learning outcomes

  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.

Assessment tasks

  • Class Tests , Week 6,12 Class
  • Project

PG - Critical, Analytical and Integrative Thinking

Our postgraduates will be capable of utilising and reflecting on prior knowledge and experience, of applying higher level critical thinking skills, and of integrating and synthesising learning and knowledge from a range of sources and environments. A characteristic of this form of thinking is the generation of new, professionally oriented knowledge through personal or group-based critique of practice and theory.

This graduate capability is supported by:

Learning outcomes

  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.

Assessment tasks

  • Class Tests , Week 6,12 Class
  • Project
  • Student Engagement

PG - Research and Problem Solving Capability

Our postgraduates will be capable of systematic enquiry; able to use research skills to create new knowledge that can be applied to real world issues, or contribute to a field of study or practice to enhance society. They will be capable of creative questioning, problem finding and problem solving.

This graduate capability is supported by:

Learning outcomes

  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.

Assessment tasks

  • Project
  • Student Engagement

PG - Effective Communication

Our postgraduates will be able to communicate effectively and convey their views to different social, cultural, and professional audiences. They will be able to use a variety of technologically supported media to communicate with empathy using a range of written, spoken or visual formats.

This graduate capability is supported by:

Learning outcomes

  • Describe SDN enabling technologies such as Network programability and applications
  • Model Network Virtualization and network function virtualization, concept and applications
  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.

Assessment tasks

  • Class Tests , Week 6,12 Class
  • Project
  • Student Engagement

PG - Engaged and Responsible, Active and Ethical Citizens

Our postgraduates will be ethically aware and capable of confident transformative action in relation to their professional responsibilities and the wider community. They will have a sense of connectedness with others and country and have a sense of mutual obligation. They will be able to appreciate the impact of their professional roles for social justice and inclusion related to national and global issues

This graduate capability is supported by:

Learning outcomes

  • Demonstrate ability to analyse SDN fundamentals, Open flow Protocol, open Stack and SDN potential.
  • Ability to describe to model NFV -SDN Application in Data Centres- Cloud computing architecture.

Assessment tasks

  • Project
  • Student Engagement