MN621 - Advanced Network Design
Credit Points: 20 credit points
Workload: 60 hours
Prerequisite: MN503 Overview of Internetworking
Aims & Objectives
This is a core unit out of a total of 12 units in the Master of Networking (MNet). This unit addresses the MNet course learning outcomes and complements other courses in a related field by developing students’ specialised knowledge in network architecture, design and implementation strategies. For further course information refer to: http://www.mit.edu.au/study-with-us/programs/master-networking. This unit is part of the AQF level 9 (MNet) course.
Students will be able to plan, design, configure, test and troubleshoot both local area networks and wide area networks. They will gain knowledge thorough switching and routing concepts, and practical knowledge of the use and configuration of network elements such as routers and switches. Students will also be able to effectively administer both local area networks and wide area networks.
This unit will cover the following topics:
- LAN design concepts and configuration, virtual LANs
- WAN design concepts and configurations: routing protocols
- LAN and WAN networks testing and troubleshooting
- Enterprise Networks: Software Defined Networking (SDN), Internet of Things (IOT)
4.1 Course Learning Outcomes
The Course learning outcomes applicable to this unit are listed on the Melbourne Institute of Technology’s website: www.mit.edu.au
4.2 Unit Learning Outcomes
At the completion of this unit students should be able to:
- Analyse the need for advanced networks, standards and network solutions;
- Investigate suitable network designs to match requirements;
- Create appropriate frameworks and standards for network implementation;
- Apply concepts and theories of human factors as related to network design and implementation;
- Evaluate performance metrics and dimensions according to specifications.
This unit will cover the content below:
|1||Introduction to advanced networks, standards and network solutions|
|2||Network design for LAN|
|3||Network Layer: IP address and subnets|
|4||IPv6 and Mid Term Test Review|
|5||Mid Term Test|
|6||MPLS and Static routing|
|7||Dynamic Routing Algorithms|
|8||Internet Routing and Future|
|9||Network Design Requirements Analysis|
|10||Network design and analysis: concepts and theories of human factors as related to network design and implementation|
|Assessment Task||Due Date||Release Date||A||B||Learning Outcomes Assessed|
|Formative Assignment 1||Week 3 (10/4/2022)||Week 1||5%||a|
|In-class test (On Campus, Face to Face)||Week 5 (20/4/2022)||10%||a-b|
|Assignment 2 Group||Week 11 (2/6/2022)||Week 6||25%||c-e|
|Class participation & contribution||Week 2-11(8/6/2022)||Week 2-11||10%||a-e|
|Final Examination (3 hours)||50%||a-e|
Task Type: Type A: unsupervised, Type B: supervised.
Class Participation and Contribution
This unit has class participation and student contribution as an assessment. The assessment task and marking rubric will follow the Guidelines on Assessing Class Participation (https://www.mit.edu.au/about-us/governance/institute-rules-policies-and-plans/policies-procedures-and-guidelines/Guidelines_on_Assessing_Class_Participation). Further details will be provided in the assessment specification on the type of assessment tasks and the marking rubrics.
Textbook and Reference Materials
- R.White, E. Banks , Computer Networking Problems and Solutions: An innovative approach to building resilient, modern networks, Addison-Wesley Professional, 2018
- D. Prowse, Building a Computer Network, Pearson,2017
- P. Mariño, Optimization of Computer Networks, Wiley publishing, 2016
- B. Manoj, Abhishek Chakraborty and Rahul Singh, Complex Networks: A Networking and Signal Processing Perspective, Prentice Hall, 2018
- C.Houmkozlis and George A. Rovithakis, End-to-End Adaptive Congestion Control in TCP/IP Networks, CRC Press, 2017
- A. Durai, S. Lynn and A. Srivastava, Virtual Routing in the Cloud, CRC Press, 2016.
Adopted Reference Style: IEEE
MIT is committed to ensure the course is current, practical and relevant so that graduates are “work ready” and equipped for life-long learning. In order to accomplish this, the MIT Graduate Attributes identify the required knowledge, skills and attributes that prepare students for the industry.
The level to which Graduate Attributes covered in this unit are as follows:
|Ability to communicate||Independent and Lifelong Learning||Ethics||Analytical and Problem Solving||Cultural and Global Awareness||Team work||Specialist knowledge of a field of study|
|Levels of attainment||Extent covered|
|The attribute is covered by theory and practice, and addressed by assessed activities in which the students always play an active role, e.g. workshops, lab submissions, assignments, demonstrations, tests, examinations.|
|The attribute is covered by theory or practice, and addressed by assessed activities in which the students mostly play an active role, e.g. discussions, reading, intepreting documents, tests, examinations.|
|The attribute is discussed in theory or practice; it is addressed by assessed activities in which the students may play an active role, e.g. lectures and discussions, reading, interpretation, workshops, presentations.|
|The attribute is presented as a side issue in theory or practice; it is not specifically assessed, but it is addressed by activities such as lectures or tutorials.|
|The attribute is not considered, there is no theory or practice or activities associated with this attribute.|