Course Title: Advanced Mechatronics System Design

Part A: Course Overview

Course Title: Advanced Mechatronics System Design

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2016


City Campus


172H School of Engineering


Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020

Course Coordinator: Dr Chow Yin Lai

Course Coordinator Phone: +61 3 9925 4416

Course Coordinator Email:

Course Coordinator Location: 57.3.18

Course Coordinator Availability: By appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

In this course you will study the general practice and methodologies of sensing, perception and actuation in engineering contexts. The course provides a general understanding of the role of automation technology in industry and allows you to develop skills in designing intelligent mechanical systems. The course will specifically:
• Provide an understanding of the role of artificial intelligence technology in industry;
• Develop high level skills in analysis and synthesis of industrial actuation technologies;
• Develop skills in the selection and application of different sensor technologies for various industrial tasks;
• Develop an understanding of the use of artificial intelligence in industrial automation;
• Develop an ability to assess the social and financial impacts of decisions related to implementation of automation technologies;
• Develop knowledge of future trends in mechatronics and related technology innovation.

Objectives/Learning Outcomes/Capability Development

This course contributes to the development of the following program learning outcomes.

1.Needs, Context and Systems
- Describe, investigate and analyse complex engineering systems and associated issues (using systems thinking and modelling techniques)

2.Problem Solving and Design
- Develop creative and innovative solutions to engineering problems
- Develop and operate within a hazard and risk framework appropriate to engineering activities

- Comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities.

4.Professional Practice
- Understand the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline

- Be aware of knowledge development and research directions within the engineering discipline.

Course Learning Outcomes (CLOs)

Upon successful completion of this course you should be able to:
1. Demonstrate knowledge about the development and research directions in sensing, perception and actuation technologies.
2. Develop creative and innovative solutions to an automation problem and anticipate the financial and social consequences of any intended action.
3. Comprehend and apply advanced theory-based understanding of intelligent systems in designing automated industrial solutions in the context of new and emerging manufacturing technologies.
4. Describe mechanical design within the context of intelligent solutions and assess the interaction between sensing and actuation in designing intelligent mechanical systems.
5. Use experience with practical industrial examples of intelligent systems to assess the application of theoretical knowledge to industrial situations and demonstrations.

Overview of Learning Activities

Learning activities include: lectures, tutorials, group project and laboratory simulation activities.

Overview of Learning Resources

Course-related resources will be provided on Canvas. This can include lecture material, practical examples, and several recommended references for this course.

Overview of Assessment

X This course has no hurdle requirements.

 ☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

Assessment item 1: Programming Test

Weighting of final grade:  20%
Related course learning outcomes:
Description: You will undertake a LabVIEW programming test. This will involve understanding the problem definition and writing the code to solve the problem. 

Assessment item 2:  Group Project, Demonstration and Reports.  
Weighting of final grade:  40%
Related course learning outcomes:  2
Description: There will be a major assignment in which students in small groups will fully design and analyse a mechatronics system. You will be required to design, build and demonstrate a Mechatronics device, as well as provide written project reports.)

Assessment item:  Exam
Weighting of final grade:  40%
Related course learning outcomes:   2, 3, 4, 5
Description:  The final semester exam will test your ability to design, analyse and develop sophisticated mechatronics systems.