Units / ECE5702
ECE5702 · Machine-to-machine storage and communication
2025 Handbook6 credit pointsLevel 5Department of Electrical and Computer Systems Engineering
Overview
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.
Areas of study: E6013 Master of Applied Engineering - Specialisation: IoT systems and technologies
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 | 1 - Assignments | Project | 20% | Threshold |
| 2 | 2 - Test/Quizzes/Project | Quiz / Test | 30% | Threshold |
| 3 | 3 - Final assessment | Examination | 50% | Threshold |
Continuous assessment: 50% Final assessment: 50% This unit contains a hurdle requirement 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.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
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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