ECE5702 Machine-to-machine storage and communication
Faculty of Engineering
ECE5702 Machine-to-machine storage and communication is a level 5, 6-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2025 in Semester 1 at Malaysia. It has no prerequisites.
- Credit points
- 6
- Offered in 2025
- Semester 1
- Malaysia
- Assessment
- Exam 50%
- and 2 other tasks
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2026 entry.
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Requisites
Before ECE5702
No prerequisites or corequisites besides the enrolment rules below.
After ECE5702
No unit lists ECE5702 as a prerequisite in the 2025 handbook.
Enrolment rules
You must be currently enrolled in a master’s course in engineering or related STEM and in a related discipline. The unit assumes that you have the necessary foundational knowledge.
Equivalent units
The same content under another code. Only one of them counts.
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.
Offerings in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Assessment
- AssignmentsProjectThreshold hurdle20%
- Test/Quizzes/ProjectQuiz / TestThreshold hurdle30%
- Final assessmentExaminationThreshold hurdle50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain the architecture design, key design principles and technologies of machine-to-machine storage for Internet of Things (IoT).
- 2
Construct machine-to-machine engineering-based applications using Internet of Things (IoT) storage services.
- 3
Create machine-to-machine engineering services using different technologies elements such as virtual machines, web apps and mobile services with data migration techniques.
- 4
Solve a physical/engineering problem using Internet of Things (IoT) and machine-to-machine technologies.
Workload and teaching
- Workshops24 hours
- Laboratories24 hours
- Teaching approachActive learning
- Teaching approachProblem-based learning
- Teaching approachOnline 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.
This unit includes interactive workshops and computer laboratories designed to deepen your understanding of lecture material through individual and group activities.
To better understand the concepts and principles, you will work by yourself or in a small group to solve the given tasks.
You are expected to prepare for the week by studying lecture notes and watching the pre-recorded videos.
Learning resources
Required resources
Pre-class materials, such as recorded videos and lecture notes.
Contacts
- Unit Coordinators
- Dr Julian Tan
- Chief Examiners
- Dr Julian Tan
Common questions
What are the prerequisites for ECE5702?
ECE5702 has no prerequisites, but enrolment rules apply.
When is ECE5702 offered?
In 2025, ECE5702 runs in Semester 1 at Malaysia.
How much work is ECE5702?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ECE5702 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 2 other tasks.
More details
- Credit points
- 6
- Level
- 5
- Study level
- Postgraduate
- Faculty
- Faculty of Engineering
- Organisational unit
- Department of Electrical and Computer Systems Engineering
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Available
- Handbook years
- 20252026