ECE4810 Internet of Things: Communication, data and security
Faculty of Engineering
ECE4810 Internet of Things: Communication, data and security is a level 4, 6-credit-point, undergraduate unit from the Faculty of Engineering, offered in 2026 in Semester 2 at Malaysia. It needs TRC3500, MEC3456, ECE3073 or ECE3141.
- Credit points
- 6
- Offered in 2026
- Semester 2
- Malaysia
- Assessment
- Exam 50%
- and 3 other tasks
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ECE4810
After ECE4810
No unit lists ECE4810 as a prerequisite in the 2026 handbook.
Overview
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.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Malaysia | On campus |
Assessment
- LabDemonstrationThreshold hurdle20%
- Quiz/TestQuiz / TestThreshold hurdle10%
- ProjectThreshold hurdle20%
- Final assessmentExaminationThreshold hurdle50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
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
- 2
apply techniques such as fog computing with supervised and unsupervised machine learning to analyse IoT data
- 3
analyse cybersecurity risks of IoT systems and propose relevant security solutions
- 4
develop practical skills in the IoT domain related to networking and data analytics using industry-standard IoT tools
- 5
show commitment by participating productively to achieve project goals in a team
- 6
evaluate the feasibility of an IoT implementation using cost-benefit analysis.
Workload and teaching
- Laboratories22 hours
- Workshops24 hours
- Teaching approachProblem-based learning
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.
Learning resources
Technology resources
Python Software (Spyder)
Where it fits
ECE4810 is part of 4 areas of study in the 2026 handbook.
- AIENGMNR03Studying electrical and computer systems engineering specialisationArtificial intelligence in engineeringNo reviews yet
- ECSYSENG04Core List BElectrical and computer systems engineeringNo reviews yet
- INTMFMNR01Electives studyIntelligent manufacturingNo reviews yet
- IOTMNR01Studying electrical and computer systems engineering specialisationInternet of Things (IoT)No reviews yet
Contacts
- Chief Examiners
- Associate Professor Joanne Lim
- Unit Coordinators
- Associate Professor Joanne Lim
Common questions
What are the prerequisites for ECE4810?
You need TRC3500, MEC3456, ECE3073 or ECE3141 before you enrol.
When is ECE4810 offered?
In 2026, ECE4810 runs in Semester 2 at Malaysia.
How much work is ECE4810?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ECE4810 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.
Which majors and minors include ECE4810?
ECE4810 is part of Artificial intelligence in engineering; Electrical and computer systems engineering; Intelligent manufacturing; and Internet of Things (IoT).