Units / ECE6702
ECE6702 · Machine-to-machine storage and communication
2026 Handbook0 credit pointsLevel 6Department of Electrical and Computer Systems Engineering
Last checked: 23 Aug 2026 UTCOverview
This unit is designed to provide a deep understanding of Machine-to-Machine (M2M) storage for the Internet of Things (IoT). You will gain a comprehensive understanding of the architectural design, key principles, and technologies that underpin M2M storage. The unit emphasises practical implementation, guiding you in creating engineering-based applications using IoT storage services and establishing M2M engineering services through diverse technological elements.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Malaysia | First semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Assignments | Project | 20% | Threshold |
| 2 | Test/Quizzes/Project | Quiz / Test | 30% | Threshold |
| 3 | Final assessment | Examination | 50% | Threshold |
Continuous assessment: 50% Final assessment: 50% Final grades: PGO (pass grade only) or NGO (fail) 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 (NGO).
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prohibitions
- ECE5702 — Machine-to-machine storage and communication
Learning outcomes
- Explain the architecture design, key design principles and technologies of machine-to-machine storage for Internet of Things (IoT).
- Construct machine-to-machine engineering-based applications using Internet of Things (IoT) storage services.
- Create machine-to-machine engineering services using different technologies elements such as virtual machines, web apps and mobile services with data migration techniques.
- Solve a physical/engineering problem using Internet of Things (IoT) and machine-to-machine technologies.
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 |
|---|---|
| Workshops | 24 hours |
| Laboratories | 24 hours |
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