Units / ECE4810
ECE4810 · Internet of Things: Communication, data and security
2026 Handbook6 credit pointsLevel 4Department of Electrical and Computer Systems Engineering
Last checked: 23 Aug 2026 UTCOverview
This unit will cover aspects constituting the Internet of Things (IoT) including communications, data analytics and cybersecurity. The unit covers network protocols, management and control standards. It will also cover fog computing and machine learning for data analytics, and the fundamentals of cybersecurity. The unit will focus on learning through Industrial IoT (IIoT) case studies related to critical infrastructures such as smart city, smart grids, healthcare and Industry 4.0.
Areas of study: Minor: Artificial intelligence in engineering Minor: Intelligent manufacturing Minor: Internet of Things (IoT)
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Malaysia | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Lab | Demonstration | 20% | Threshold |
| 2 | Quiz/Test | Quiz / Test | 10% | Threshold |
| 3 | Project | Project | 20% | Threshold |
| 4 | Final assessment | Examination | 50% | Threshold |
Continuous assessment: 50% Final assessment: 50% This unit contains hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
Learning outcomes
- design a low power and long-range communication system for different types of IoT network, based on standards such as Lorawan, 6LowPAN and Bluetooth Low Energy
- apply techniques such as fog computing with supervised and unsupervised machine learning to analyse IoT data
- analyse cybersecurity risks of IoT systems and propose relevant security solutions
- develop practical skills in the IoT domain related to networking and data analytics using industry-standard IoT tools
- show commitment by participating productively to achieve project goals in a team
- evaluate the feasibility of an IoT implementation using cost-benefit analysis.
Workload
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
| Activity | Duration |
|---|---|
| Laboratories | 22 hours |
| Workshops | 24 hours |
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