Course Title: Advanced Mechatronics System Design

Part A: Course Overview

Course Title: Advanced Mechatronics System Design

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities. 

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT:

Please read the Student website for additional requirements of in-person attendance: 

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 


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,
Sem 1 2021,
Sem 1 2022

Course Coordinator: Dr Milan Simic

Course Coordinator Phone: +61 3 9925 6223

Course Coordinator Email:

Course Coordinator Location: Bundoora East Campus: 251.03.18

Course Coordinator Availability: By appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities

  • Undergraduate course in Mechatronics design
  • Programming languages: MATLAB & Simulink, Ni LabVIEW, CAD/CATIA,
  • Knowledge of mechanical systems, electronics, electrical systems, control systems and computers

Course Description

In this course you will study principles and methodologies of sensing, computer perception and actuation in mechatronics engineering contexts. Course provides an understanding of the role of automation technology in industry applications. It guides you to develop knowledge and skills in designing intelligent engineering systems. The course will specifically:
• Provide an understanding of the role of artificial intelligence technology in industry;
• Develop high level knowledge and 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: pre-recorded lectures, tutorials, group project and laboratory simulation activities.

Overview of Learning Resources

Course-related resources are provided on Canvas. This includes lecture material, pre-recorded lectures, practical examples, and recommended references for the 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: Design Proposal
Investigation in the mechatronics. Group project definition based on the investigation. Demonstration and reporting of the findings and proposal.  
Weighting of final grade:  40%
Related course learning outcomes:  2
Description: There will be a major assignment in which students in small groups will conduct research in the state-of-the-art technology in mechatronics systems' design. Following that, students will submit a report that will include literature review and a design project proposal. In the oral presentations, groups will have to present and defend their proposals. 

Assessment item: Final Report and Presentation
Weighting of final grade:  40%
Related course learning outcomes:   2, 3, 4, 5
Description: Group project, demonstration and reporting. Assess students' ability to design, analyse and develop sophisticated mechatronics system proposed in assessment 2.