ECE5701 Engineering IoT network systems
Faculty of Engineering
ECE5701 Engineering IoT network systems is a level 5, 6-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2026 in Semester 1 at Malaysia. It has no prerequisites.
- Credit points
- 6
- Offered in 2026
- Semester 1
- Malaysia
- Assessment
- Exam 50%
- and 2 other tasks
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for ECE5701. This is its 2026 entry, the latest one.
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Requisites
Before ECE5701
No prerequisites or corequisites besides the enrolment rules below.
After ECE5701
No unit lists ECE5701 as a prerequisite in the 2026 handbook.
Enrolment rules
You must be currently enrolled in a master’s course in engineering or related STEM and in a related ddiscipline. The unit assumes that you have the necessary foundational knowledge.
Overview
This unit is designed to equip you with the essential skills to create, evaluate, and optimise Internet of Things (IoT) applications. You will delve into hands-on experiences to construct IoT applications using fundamental programming concepts, explore efficient utilisation of engineering hardware through library utilisation, and assess program functionality and performance.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Assessment
- AssignmentsProjectThreshold hurdle20%
- Test/Quizzes/ProjectQuiz / TestThreshold hurdle30%
- 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
Construct Internet of Things application functions using variables, conditionals and loops.
- 2
Apply Internet of Things programs on engineering hardware efficiently by discovering and leveraging libraries.
- 3
Evaluate the functionality and performance of Internet of Things programs using hardware and software development tools.
- 4
Solve real-world Internet of Things engineering problems using the developed programs.
- 5
Apply good practices in accordance with industry standards and professional ethics.
Workload and teaching
- Workshops24 hours
- Laboratories24 hours
- Teaching approachOnline learning
- Teaching approachProblem-based learning
- Teaching approachActive 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.
To better understand the concepts and principles, you will work by yourself or in a small group to solve the given tasks.
This unit includes interactive workshops and computer laboratories for you to enhance the knowledge you learned in lectures through individual or group participation in the activity.
Where it fits
ECE5701 is part of 2 areas of study in the 2026 handbook.
Contacts
- Unit Coordinators
- Dr Julian Tan
- Chief Examiners
- Dr Julian Tan
Common questions
What are the prerequisites for ECE5701?
ECE5701 has no prerequisites, but enrolment rules apply.
When is ECE5701 offered?
In 2026, ECE5701 runs in Semester 1 at Malaysia.
How much work is ECE5701?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ECE5701 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 2 other tasks.
Which majors and minors include ECE5701?
ECE5701 is part of Industrial AI and robotics engineering; and IoT systems and technologies .
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