| Unit convenor and teaching staff |
Unit convenor and teaching staff
Convenor
Endrowednes Kuantama
Contact via Contact via Email
4RPD, 313
Thursday, 1-3 PM
Lecturer
Ningning Hou
Contact via Contact via Email
4RPD, 313
Thursday, 1-3 PM
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
COMP6250
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
The networking and communication platforms supporting IoT infrastructure must handle the huge amount of data generated by millions of devices. These networks can be very complicated, merging several different standards to achieve a common communication objective. Furthermore, connecting IoT-enabled devices to IoT networks opens up security vulnerabilities and increases the potential risk of hackers discovering and attacking such networks. The unit will involve a detailed study of network and security protocols, standards, and algorithms to enable and secure the real-world deployments of IoT communication and networking infrastructure. Communication and security standards and technologies for industrial IoT systems and networks and cyber-physical systems will also be discussed. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
In this unit, students are encouraged to engage actively in their learning through a multifaceted approach. Attending lectures consistently, taking comprehensive notes, and actively participating in discussions are vital components of this active participation. Regular attendance at workshops and practical sessions is emphasized, and students are advised to seek instructor feedback to enhance their understanding of assignments. Pursuing excellence in assignments is a fundamental expectation, requiring thorough preparation to showcase a firm grasp of the content and meet prescribed standards. Additionally, students are urged to engage actively with assigned readings, supplementing their notes and formulating thoughtful questions for further clarification during discussions with lecturer or teaching assistant. Thoughtful responses to workshop questions, demonstrating a deep understanding of the material, and contributing meaningfully to discussions are also highlighted. Furthermore, timely completion of assigned tasks or simulation projects within given timeframes is essential for successfully and punctually fulfilling unit requirements. Overall, this holistic approach aims to ensure students actively contribute to and excel in various aspects of their learning experience in the unit.
Your assignment is to be submitted online using iLearn.
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark of the task) will be applied for each day a written report or presentation assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. The submission time for all uploaded assessments is 11:55 pm. A 1-hour grace period will be provided to students who experience technical concerns. For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, please apply for Special Consideration. For example, if the assignment is worth 8 marks (of the entire unit) and your submission is late by 19 hours (or 23 hours 59 minutes 59 seconds), 0.4 marks (5% of 8 marks) will be deducted. If your submission is late by 24 hours (or 47 hours 59 minutes 59 seconds), 0.8 marks (10% of 8 marks) will be deducted, and so on.
In this unit, the final mark will be calculated by combining the marks for all assessment tasks according to the percentage weightings shown in the assessment summary. Concretely, in order to pass the unit, you must obtain an overall total mark of 50% or higher. Students obtaining a higher grade than a pass in this unit will (in addition to the above): have a total mark of 85% or higher to obtain High Distinction; have a total mark of 75% or higher to obtain Distinction; have a total mark of 65% or higher to obtain Credit. This unit does not have hurdle assessments.
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable, and significantly disruptive, and which may affect their performance in assessment. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through connect.mq.edu.au/.
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Designing IoT Communication Networks | 40% | No | 26/04/2026 | Individual | Yes | Open |
| Applications of IoT Communication Networks | 40% | No | 24/05/2026 | Individual | No | Observed |
| Lab book | 20% | No | 07/06/2026 | Individual | Yes | Open |
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 37 hours
Due: 26/04/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
Development and Testing: Given an IoT application scenario, you will design an IoT networking solution that meets the resource constraints of this scenario.
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 37 hours
Due: 24/05/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed
Analysis and Problem Solving: The purpose of this assignment is to help you become accustomed to dealing with real-world problems and issues. It is designed to guide you in analysing a particular problem and finding its best solution.
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 24 hours
Due: 07/06/2026
Weighting: 20%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
This lab offers hands-on experience with IoT Communication Networks and Security. You will submit a report based on the lab work completed at the end of the session.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
COMP8293 consists of both lectures and workshop sessions. Lectures are held every Tuesday from 10:00 AM to 12:00 PM, commencing in Week 1. Workshop sessions take place onsite every Wednesday from 2:00 PM to 4:00 PM, starting in Week 2.
COMP8293 lecture sessions are dedicated to the in-depth exploration of IoT communication networks, blending theoretical concepts, network design, and hands-on applications. The focus extends to practical implementation, particularly networking simulator software, to provide students with a comprehensive understanding of conceptual and design principles. The unit emphasizes applying this knowledge in designing communication networks across various real-world scenarios. IoT communication network simulation software tools, including Netualizer, Wireshark, and CISCO Packet Tracer, will support the learning process. Lecture sessions are the foundation for grasping conceptual knowledge, with practical application during workshops, which involve tasks such as IoT networking and protocol implementation. While weekly lecture notes will be provided, students are urged to view them as a guide rather than a substitute for personal notes or the recommended reading list. Active engagement with the material is encouraged, supplementing understanding through provided lecture notes, personal notes, and suggested readings. This proactive approach is crucial for a robust comprehension of the syllabus topics and contributes to an enriched learning experience in real-time operating systems.
The predominant assessment weight in this course is allocated to Assignment 1 and Assignment 2, each contributing 40% to the overall grade. These assignments are strategically designed to assess students’ proficiency in conceptualising and implementing network and Internet of Things (IoT) solutions across diverse applications. To support a structured and in-depth learning approach, students are given four weeks to complete each assignment. Assignment 1 is due by 11:55 PM on Sunday, 26 April (end of Week 7), while Assignment 2 is due by 11:55 PM on Sunday, 24 May (end of Week 11).
The assessment breakdown for each assignment is as follows: of the total 40%, 20% is allocated to the design and implementation of a programming application, evaluating students’ practical skills. An additional 10% is awarded for answering assignment-specific questions, emphasising theoretical understanding. The project report accounts for 5%, assessing students’ ability to clearly and effectively articulate their project details. The remaining 5% is allocated to presentations, reinforcing the importance of communication skills and ensuring students demonstrate a comprehensive understanding of the program they have developed.
This comprehensive assessment structure aims to foster a holistic understanding of network and IoT design applications among students.
The workshop sessions will be onsite across 12 meetings from Week 2 to Week 13. During Weeks 2 to 11, students will engage in practical modules designed to develop their skills in IoT Networking infrastructure and communication. Weeks 12 and 13 are allocated for make-up sessions, which are available only to students who were unable to attend earlier workshops, with a limit of two make-up classes per student. These sessions provide essential hands-on experience, and students are required to submit a report summarizing the lab work completed during each session. The workshop component contributes 20% to the overall course assessment.
Please be aware that there isn't a single textbook covering all the content for this unit. However, your lecturer will provide comprehensive reading materials and detailed notes corresponding to each week's lecture topics. These resources will be provided every week for your convenience. It's essential to note that purchasing these books is not obligatory; their inclusion is based on individual preferences and needs. Students are encouraged to evaluate their requirements and determine whether acquiring these supplementary resources aligns with their learning preferences and objectives.
Our primary means of communication will be through your university email and announcements on iLearn. It is crucial to consistently check your university email for important updates and information related to the course. Additionally, significant announcements will be posted on iLearn, a centralized platform for accessing vital details about the course. Should you have any queries or require assistance from the teaching staff, including the unit convenor, you have two communication channels. Firstly, you can post your queries on the iLearn discussion board, providing an interactive space for instructors and peers to engage in discussions. Alternatively, you may send emails to the corresponding addresses of the teaching staff using your university email address for official communication. Through these communication methods, we aim to ensure effective and timely dissemination of information and provide the necessary support throughout the course.
| Week | Topic | Learning Outcome |
| 1 | Introduction to the Unit and IoT Networking. | UL03 |
| 2 | Exploring Traditional Networks. | UL02, UL03, UL04 |
| 3 | IoT Communication Protocols (Short Range Wireless IoT: WPAN I: 802.15.4/802.15.4E, Zigbee). | UL03, UL05 |
| 4 | Short Range Wireless IoT: WPAN II: 6LoWPAN, IEEE802.15.1 Bluetooth, 6loBLE (Bluetooth Extension). | UL03, UL05 |
| 5 | WiFi for IoT: WIFI HaLow: 802.11AH. | UL02, UL03, UL05 |
| 6 | Long Range Wireless IoT I: LP WAN Technologies and LoRAWAN. | UL01-UL06 |
| 7 | Long Range Wireless IoT II: LP WAN technologies and NB-IoT, LTE-M (Pre-5G technologies), 5G-IoT integration. | UL03, UL04 |
| 8 | IoT Data Protocols: MQTT, COAP, AMQP, HTTP. | UL03, UL04 |
| 9 | Industrial Internet of Things. | UL03, UL04 |
| 10 | Smart Home and Smart Cities. | UL01, UL02, UL03 |
| 11 | IoT Security I (Threats, Services, mechanisms: An Overview; Types of attacks: A taxonomy; IoT Security Architecture (Protocol Stack Perspective): perception layer security, network layer security, processing layer security, and application security). | UL05, UL06 |
| 12 | IoT Security II (IoT Security Architecture) - Trust and Key Management, Privacy Protection in IoT Applications, IoT Security: Use Cases. | UL05, UL06 |
| 13 | Unit Review and IoT network applications. | UL01-UL06 |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) 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 connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
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.
We value student feedback to be able to continually improve the way we offer our units. As such we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link in the iLearn page. Student feedback from the previous offering of this unit was very positive overall, with students pleased with the clarity around assessment requirements and the level of support from teaching staff. As such, no change to the delivery of the unit is planned, however we will continue to strive to improve the level of support and the level of student engagement.
Unit information based on version 2026.02 of the Handbook