BN321 - Advanced Network Design

Credit Points: 15 credit points

Workload: 48 hours

Prerequisite: BN202 Internetworking Technologies

Co-requisite: N/A

Aims & Objectives

This is a core unit out of a total of 24 units in the Bachelor of Networking (Cyber Security) (BNet(CybSec)). This unit addresses the BNet 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: . This unit is part of the AQF level 7 (BNet) course.

In this unit, students will be able to plan, design and configure both local area networks and wide area networks. They will gain knowledge thorough switching, 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, the spanning tree protocol and 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).

Learning Outcomes

4.1 Course Learning Outcomes
The Course learning outcomes applicable to this unit are listed on the Melbourne Institute of Technology’s website: 

4.2 Unit Learning Outcomes
At the completion of this unit students should be able to:
a. Analyse the need for advanced networks, standards and network solutions;
b. Analyse network design requirements;
c. Develop appropriate frameworks and standards for network implementation;
d. Apply concepts and theories of human factors as related to network design and implementation;
e. Compare performance metrics and dimensions according to specifications.

Weekly Topics

This unit will cover the content below:

Week # Lecture Topic Laboratory - Hands-on practicals on physical devices
1 Introduction to Internet Structure and Performance Factors Networking devices specifications
2 Overview of Network Layer Router Basic commands
3 Network Layer – Data Plane Routers configuration – IP address
4 Review for mid-term DHCP, DNS
6 Link layer overview RIP, EIGRP, OSPF
7 Multiple access protocol, LAN overview In-Class test
8 LAN, MPLS Assignment 1 demonstration
9 Routing protocol BGP, PPPoE
11 Human Factor Network Design Requirement Analysis Assignment 2 demonstration
12 Network Analysis, Review Review


Assessment Task Due Date A B Learning Outcomes Assessed
Formative Assignment 1 Week 3 (10/04/2022) 5%   a
In-Class Test Week 7 (05/05/2022)   10% a-c
Assignment 2 Week 11 (03/06/2022) 25%   a-e
Laboratory participation & submissions Week 2 – 11 (10/06/2022) 10%   a-e
Final Examination (2 hours)     50% a-e
TOTALS   40% 60%  

Task Type: Type A: unsupervised, Type B: supervised.

Contribution and participation 
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 ( Further details will be provided in the assessment specification on the type of assessment tasks and the marking rubrics.

Presentations (if applicable)
For presentations conducted in class, students are required to wear business attire.

Textbook and Reference Materials

Text Book:

  • James Kurose, Keith Ross, Computer Networking: A Top-Down Approach, Global Edition, Pearson Higher Ed, 2017.
  • References:
  • W. Stallings, Foundations of Modern Networking: SDN, NFV, QoE, IOT, and Cloud. Addison-Wesley Professional, 2016.
  • M. Meyers, CompTIA Network+ Certification Exam N10-006. 6th ed., Sydney, McGraw-Hill Education, 2015.
  • T. Lammle, CCNA Routing and Switching Complete Deluxe Study Guide, 2nd ed., Indianapolis, John Wiley & Sons, 2016.
  • J. S. Beasley, P. Nilkaew, Practical Guide to Advanced Networking, 3rd Edition, Pearson IT Certification, 2013

Adopted Reference Style: IEEE

Graduate Attributes

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.