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ECE5703 · Communication network protocols for Industrial IoT

Official Handbook

2026 Handbook6 credit pointsLevel 5Department of Electrical and Computer Systems Engineering

Last checked: 23 Aug 2026 UTC

Overview

This unit aims to introduce networking and communication industrial technology to enhance Internet of Things (IoT) ecosystems. The unit structure prioritises a balance between theoretical understanding and practical application, ensuring that you not only comprehend IoT network design but also gain proficiency in applying this knowledge in real-world scenarios. By the end of the course, you will be equipped to contribute to the successful deployment and optimisation of IoT networks across diverse applications.

Areas of study: E6013 Master of Applied Engineering - Specialisation: IoT systems and technologies

Offerings

CampusTeaching periodMode
MalaysiaSecond semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook lists an examination for this unit.

#AssessmentTypeWeightHurdle
1AssignmentsWritten20%Threshold
2Test/Quizzes/ProjectProject30%Threshold
3Final assessmentExamination50%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.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

  1. Construct building blocks of Internet of Things (IoT) networks for different applications.
  2. Apply techniques of communications theory to design Internet of Things machine-to-machine applications.
  3. Apply practical skills in the IoT domain related to networking using industry-standard IoT tools.
  4. Evaluate the feasibility of an IoT implementation using position analysis.

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.

ActivityDuration
Laboratories22 hours
Workshops24 hours

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