TRC6901 Advanced artificial intelligence
Faculty of Engineering
TRC6901 Advanced artificial intelligence is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2022 in Semester 2 at Malaysia. It has no prerequisites.
- Credit points
- 0
- Offered in 2022
- Semester 2
- Malaysia
- Assessment
- No exam
- 4 tasks
- Workload
- 144 hours
- per semester
This is the 2022 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review TRC6901.
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 2022 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.
Equivalent units
The same content under another code. Only one of them counts.
Overview
The unit aims to introduce the applications of artificial intelligence, such as deep learning techniques, to solve real-world problems related to the manufacturing and services sectors. Focusing on the design of deep learning frameworks, their use in computer vision tasks like image classification and object detection will be explored and discussed. This unit will also cover structured query language for database management, natural language processing for sentiment analysis and time series classification and forecasting.
Offerings in 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Malaysia | On campus |
Assessment
- AssignmentsThreshold hurdle20%
- Tests and quizzesThreshold hurdle20%
- ProjectThreshold hurdle20%
- Final assessmentThreshold hurdle40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Construct deep learning frameworks using open-access tools, such as TensorFlow and PyTorch, to solve real-world problems.
- 2
Design deep learning models for computer vision tasks like image classification and object detection.
- 3
Develop a database management system based on structured query language for industry use.
- 4
Appraise large volume text data using natural language processing for sentiment analysis.
- 5
Evaluate time-series data using artificial intelligence techniques for classification and forecasting.
- 6
Communicate deep learning solutions to real-world problems with a wider audience via oral presentations and written reports.
Workload and teaching
- Practical activities36 hours
- Workshops12 hours
- Teaching approachProblem-based learning
- Teaching approachSimulation or virtual practice
- 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.
Learning resources
Required resources
Recorded videos and lecture notes
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 2022, 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 4 assessment tasks and no exam.