TRC5801 Data driven supply chain optimisation and AI applications
Faculty of Engineering
TRC5801 Data driven supply chain optimisation and AI applications 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 3 other tasks
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for TRC5801. This is its 2026 entry, the latest one.
Reviews
No reviews yetNo reviews yet. Be the first to review TRC5801.
Requisites
Before TRC5801
No prerequisites or corequisites besides the enrolment rules below.
After TRC5801
No unit lists TRC5801 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 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 provides a comprehensive introduction to the use of data analytics and artificial intelligence (AI) in optimising modern supply chains. You will gain skills to evaluate key supply chain processes and apply data-driven methodologies to enhance efficiency, reduce costs and improve decision-making. Through hands-on projects and case studies, you will design predictive models using AI and machine learning techniques, synthesising data from multiple sources to address complex challenges. You will explore the integration of AI within decision-making frameworks, ensuring supply chain resilience and adaptability in dynamic global markets. Emphasis is placed on the importance of sustainable and ethical practices, highlighting their role in creating socially responsible supply chain strategies. By the end of the unit, you will have a strong foundation in leveraging data insights to justify strategies and solutions in real-world supply chain environments, preparing you for roles in industries increasingly driven by AI and data analytics.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Assessment
- AssignmentsArtefactThreshold hurdle20%
- Tests and quizzesQuiz / TestThreshold hurdle20%
- ProjectThreshold hurdle10%
- 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
Evaluate supply chain processes and use data analytics for optimisation.
- 2
Design AI-driven predictive models for decision-making processes within supply chains.
- 3
Synthesise data from various sources to solve complex supply chain challenges.
- 4
Justify supply chain strategies through data-driven insights.
- 5
Appreciate sustainable and ethical supply chain practices and their impact on the largest society.
Workload and teaching
- Workshops24 hours
- Practical activities24 hours
- Teaching approachActive learning
- Teaching approachOnline learning
- Teaching approachPeer assisted learning
- Teaching approachSimulation or virtual practice
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.
Working through theory-based, problem-based and industrial-based examples during the workshop sessions.
Independent study using video, written and online quiz-based resources.
Working in a team of two, you will work to apply what you have learnt in the workshops to solve case studies via assignments.
Modern simulation tools will be introduced to help you simulate and visualise the production line and understand how various parameters affect the supply chain and operations management.
Where it fits
TRC5801 is part of 4 areas of study in the 2026 handbook.
- MMAEINRB03Part A. Specialist studiesIndustrial AI and robotics engineeringNo reviews yet
- MECHENG03Mechanical engineering technical electivesMechanical engineeringNo reviews yet
- MMAESEMC01Specified electivesSemiconductor and microsystems engineering No reviews yet
- MMAESMSM01Specified electivesSmart and sustainable mobilityNo reviews yet
Contacts
- Chief Examiners
- Associate Professor Alpha Agape
- Unit Coordinators
- Associate Professor Alpha Agape
Common questions
What are the prerequisites for TRC5801?
TRC5801 has no prerequisites, but enrolment rules apply.
When is TRC5801 offered?
In 2026, TRC5801 runs in Semester 1 at Malaysia.
How much work is TRC5801?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does TRC5801 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.
Which majors and minors include TRC5801?
TRC5801 is part of Industrial AI and robotics engineering; Mechanical engineering; Semiconductor and microsystems engineering ; and Smart and sustainable mobility.