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ECE5701 · Engineering IoT network systems

Official Handbook

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

Last checked: 23 Aug 2026 UTC

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.

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

Offerings

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

Assessment

The Handbook lists an examination for this unit.

#AssessmentTypeWeightHurdle
1AssignmentsProject20%Threshold
2Test/Quizzes/ProjectQuiz / Test30%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 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

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
Workshops24 hours
Laboratories24 hours

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