UnitLevel 6Postgraduate

ECE6702 Machine-to-machine storage and communication

Faculty of Engineering

ECE6702 Machine-to-machine storage and communication is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2027 in Semester 1 at Malaysia. It has no prerequisites.

Credit points
0
Offered in 2027
Semester 1
Malaysia
Assessment
Exam 50%
and 2 other tasks
Workload
144 hours
per semester

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Requisites

Before ECE6702

Prohibitions

You can't enrol if you have passed any of these.

After ECE6702

No unit lists ECE6702 as a prerequisite in the 2027 handbook.

Enrolment rules

You must be enrolled in the Engineering PHD program or with permission from the Faculty of Engineering. The unit assumes you have the necessary foundational knowledge.

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 2027

Teaching periodCampusMode
First semesterMalaysiaOn campus

Assessment

  • AssignmentsProjectThreshold hurdle
    20%
  • Test/Quizzes/ProjectQuiz / TestThreshold hurdle
    30%
  • Final assessmentExaminationThreshold hurdle
    50%

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. 1

    Explain the architecture design, key design principles and technologies of machine-to-machine storage for Internet of Things (IoT).

  2. 2

    Construct machine-to-machine engineering-based applications using Internet of Things (IoT) storage services.

  3. 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. 4

    Solve a physical/engineering problem using Internet of Things (IoT) and machine-to-machine technologies.

Workload and teaching

  • Workshops24 hours
  • Laboratories24 hours
  • Teaching approachOnline learning
  • Teaching approachActive learning
  • 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.

You are expected to prepare for the week by studying lecture notes and watching the pre-recorded videos.

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.

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 ECE6702?

ECE6702 has no prerequisites, but enrolment rules apply.

When is ECE6702 offered?

In 2027, ECE6702 runs in Semester 1 at Malaysia.

How much work is ECE6702?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ECE6702 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 2 other tasks.

More details

Credit points
0
Level
6
Study level
Postgraduate
Faculty
Faculty of Engineering
Organisational unit
Department of Electrical and Computer Systems Engineering
Type
HDR
EFTSL
0
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
202520262027