TRC4901 Artificial intelligence for engineers
Faculty of Engineering
TRC4901 Artificial intelligence for engineers is a level 4, 6-credit-point, undergraduate unit from the Faculty of Engineering, offered in 2021 in Semester 1 at Malaysia. It needs ENG1060.
- Credit points
- 6
- Offered in 2021
- Semester 1
- Malaysia
- Assessment
- No exam
- 6 tasks
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for TRC4901. This is its 2021 entry, the latest one.
Reviews
No reviews yetNo reviews yet. Be the first to review TRC4901.
Requisites
Before TRC4901
Prerequisites
Pass these before you enrol.
After TRC4901
No unit lists TRC4901 as a prerequisite in the 2021 handbook.
Overview
This unit provides an in-depth study of the topics in common engineering, such as knowledge representation, reasoning, learning by experience and evolutionary system that serves as the foundations of artificial intelligence, declarative programming and the design of any intelligent system. The topic covers theory, design problem and applications of knowledge representation and reasoning using Fuzzy Logic System, fuzzy clustering, neuro-fuzzy modelling, machine learning in ANNs, such as supervised, unsupervised and reinforcement learning strategies with various algorithms. Also, introduction to deep learning, techniques and applications and evolutionary computation such as optimisation algorithms, simulated annealing and genetic algorithms. Modern tools will be used to evaluate the above AI techniques and synthesise solutions to practical examples.
Offerings in 2021
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Assessment
- Lab 1: Experiment on weather forecasting using fuzzy logic systemThreshold hurdle15%
- Lab 2: Biometric using Machine LearningThreshold hurdle10%
- Lab 3: Character recognition using Artificial Neural NetworkThreshold hurdle10%
- Lab 4: Object identification using deep learning networkThreshold hurdle10%
- Lab 5: Problem solving (TSP) using genetic algorithmThreshold hurdle15%
- Final assessmentThreshold hurdle40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
To design and develop a fuzzy knowledge-based intelligent machine using the human sense of linguistic & decision-making.
- 2
To design, build and train the Artificial Neural Network to solve a variety of multi-disciplinary engineering and business problems.
- 3
To recap the differences between machine and deep learning techniques and to solve big data in a variety of application using deep learning techniques.
- 4
To evaluate, synthesise and predict solutions using above AI techniques using Modern tools.
Workload and teaching
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 4-6 hours of scheduled learning activities and 6-8 hours 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.
Where it fits
TRC4901 is part of 3 areas of study in the 2021 handbook.
Contacts
- Unit Coordinators
- Dr S Parasuraman
- Chief Examiners
- Dr S Parasuraman
Common questions
What are the prerequisites for TRC4901?
You need ENG1060 before you enrol.
When is TRC4901 offered?
In 2021, TRC4901 runs in Semester 1 at Malaysia.
How much work is TRC4901?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does TRC4901 have an exam?
No. TRC4901 has 6 assessment tasks and no exam.
Which majors and minors include TRC4901?
TRC4901 is part of Electrical and computer systems engineering; Mechanical engineering; and Robotics and mechatronics engineering.
More details
- Credit points
- 6
- Level
- 4
- Study level
- Undergraduate
- Faculty
- Faculty of Engineering
- Organisational unit
- Department of Mechanical and Aerospace Engineering
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Available
- Handbook years
- 20202021