TRC6901 Artificial intelligence applications in engineering
Faculty of Engineering
TRC6901 Artificial intelligence applications in engineering is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2025 in Semester 2 at Malaysia. It has no prerequisites.
- Credit points
- 0
- Offered in 2025
- Semester 2
- Malaysia
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
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Requisites
Before TRC6901
Prohibitions
You can't enrol if you have passed any of these.
After TRC6901
No unit lists TRC6901 as a prerequisite in the 2025 handbook.
Enrolment rules
You must be enrolled in the Engineering PhD program. Students enrolled in another PhD program may seek permission from the Faculty of Engineering.
The unit assumes that you have basic programming skills. 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 offers an engaging exploration of artificial intelligence (AI) within engineering and industrial domains, focusing on both predictive and generative AI. You will study the principles of predictive AI through machine learning and deep learning techniques, developing engineering-specific skills in data preprocessing, classification and regression tasks. These skills are essential for solving complex industrial challenges by transforming raw data into meaningful insights. The unit then transitions to generative AI, providing an in-depth exploration of its transformative applications across various industries, where the creation of autonomous content enhances the efficiency and innovation of engineering processes and workflows. In addition, the unit places a strong emphasis on the ethical implementation of generative AI, fostering a nuanced understanding of responsible and sustainable AI practices. By integrating theoretical knowledge, data preprocessing techniques and practical engineering applications, you will gain the expertise required to design and implement intelligent solutions utilising AI technologies in the workplace.
Offerings in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Malaysia | On campus |
Assessment
- Computer labsWritten40%
- Tests and quizzesQuiz / Test30%
- Project30%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Apply effective data preprocessing and feature engineering techniques to convert raw data into clean and usable formats.
- 2
Construct robust analytical pipelines utilising machine learning and deep learning methods to address classification and regression challenges specific to industrial needs.
- 3
Generate creative outputs, such as images and presentation slides, using generative AI tools while adhering to ethical standards and addressing industrial requirements.
- 4
Construct interactive chatbots utilising generative AI models and retrieval-augmented generation techniques to optimise processes and workflows in engineering domains.
- 5
Discuss AI-driven solutions tailored for industrial applications through engaging oral presentations and well-structured written reports.
Workload and teaching
- Workshops24 hours
- Laboratories36 hours
- Teaching approachProblem-based learning
- Teaching approachOnline 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.
To better understand the concepts and principles, you will work by yourself or in a small group to solve real-world problems with artificial intelligence.
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 for you to enhance your knowledge learned in lectures through individual or group participation in the activity.
Learning resources
Required resources
- Lecture slides and videos
- Workshop and laboratory materials
Contacts
- Unit Coordinators
- Dr Lim Lam Ghai
- Chief Examiners
- Dr Lim Lam Ghai
Common questions
What are the prerequisites for TRC6901?
TRC6901 has no prerequisites, but enrolment rules apply.
When is TRC6901 offered?
In 2025, TRC6901 runs in Semester 2 at Malaysia.
How much work is TRC6901?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does TRC6901 have an exam?
No. TRC6901 has 3 assessment tasks and no exam.