TRC5901 Applied artificial intelligence
Faculty of Engineering
TRC5901 Applied artificial intelligence is a level 5, 6-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2024 in Semester 2 at Malaysia. It has no prerequisites.
- Credit points
- 6
- Offered in 2024
- Semester 2
- Malaysia
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2026 entry.
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Requisites
Before TRC5901
Prohibitions
You can't enrol if you have passed any of these.
After TRC5901
No unit lists TRC5901 as a prerequisite in the 2024 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 and basic programming skills.
Equivalent units
The same content under another code. Only one of them counts.
Overview
The unit provides an engaging exploration of the artificial intelligence (AI) domain, emphasising both traditional and generative AI. You will delve into the principles of traditional AI, acquiring skills in classification and regression tasks, essential for solving real-world problems in industrial settings. Subsequently, the unit transitions into the realm of generative AI, offering insights into its transformative applications within manufacturing and service industries, where autonomous data generation takes centre stage. The unit also examines rational and non-relational databases, elucidating their pivotal functions in storing, retrieving and optimising data for AI applications. Furthermore, the unit strongly emphasises ethical considerations in implementing generative AI, fostering a deeper understanding of the responsible use of AI technologies. Through a synergistic blend of theoretical foundations and hands-on applications, you will acquire the skills to develop intelligent solutions with AI technologies in the workplace.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Malaysia | On campus |
Assessment
- Computer labs40%
- Tests and quizzes30%
- Project30%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Apply appropriate denoising algorithms and feature engineering techniques to pre-process raw data.
- 2
Construct a comprehensive analytical pipeline employing machine or deep learning techniques for classification and regression tasks.
- 3
Design a natural language processing pipeline with artificial intelligence techniques to interpret human language.
- 4
Create content, such as images and slides, using generative artificial intelligence tools while adhering to ethical considerations relevant to industry applications.
- 5
Appraise relational and non-relational databases with generative artificial intelligence tools to cultivate innovative solutions.
- 6
Communicate artificial intelligence solutions tailored to real-world problems with a wider audience through oral presentations and written reports.
Workload and teaching
- Workshops24 hours
- Laboratories36 hours
- Teaching approachProblem-based learning
- Teaching approachActive learning
- Teaching approachOnline 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.
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.
You are expected to prepare for the week by studying lecture notes and watching the pre-recorded videos.
Learning resources
Required resources
Recorded videos and lecture notes
Where it fits
TRC5901 is part of 1 area of study in the 2024 handbook.
Contacts
- Unit Coordinators
- Dr Lim Lam Ghai
- Chief Examiners
- Dr Lim Lam Ghai
Common questions
What are the prerequisites for TRC5901?
TRC5901 has no prerequisites, but enrolment rules apply.
When is TRC5901 offered?
In 2024, TRC5901 runs in Semester 2 at Malaysia.
How much work is TRC5901?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does TRC5901 have an exam?
No. TRC5901 has 3 assessment tasks and no exam.
Which majors and minors include TRC5901?
TRC5901 is part of Robotics and mechatronics engineering.