Students
MTRN8066 – Advanced Mechatronic Engineering
2025 – Session 1, In person-scheduled-weekday, North Ryde
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor and Lecturer
David Inglis
Contact via email
3MD-160
Tuesdays 9-10am @3MD-160
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|---|---|
| Credit points |
Credit points
10
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| Prerequisites |
Prerequisites
40cp at 6000 level or above including MTRN6026
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| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
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| Unit description |
Unit description
This unit synthesizes prior expertise in a specialized engineering domain with problem-solving prowess, emerging technologies, and facets of engineering application, all within the framework of technical reporting and self-directed management. Its overarching goal is to equip students to function at a proficient professional level. The unit endeavors to tackle the application of foundational principles and advanced techniques within the realm of standards, practices, modeling, analysis, design, and pragmatic implementation. Additionally, the unit fosters competencies in scrutinizing information critically, assessing software reliability, identifying potential sources of error, and deploying experimental methodologies. Learning experiences encompass diverse methods, encompassing case studies, laboratories, presentations, group work, and conventional lecture formats. The specific thematic focus lies on contemporary advancements in the field, including microcontrollers, motor systems, control mechanisms, sensors, actuators, and electro-mechanical interfaces. Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Industry, Innovation and Infrastructure |
Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
- ULO1: Design, numerically-model, implement, and test a digital motion control system for a non-linear problem
- ULO2: Apply problem-solving, initiative, time management, and record keeping skills to complete a significant project in a proficient and timely manner.
- ULO3: Research and evaluate, through advanced knowledge, the modelling and use of modern drive technology
- ULO4: Apply and evaluate advanced mechatronic principles, such as convolutional neural networks, machine vision, and 3D printing, with critical insight and rigour.
- ULO5: Demonstrate the integration of a convolutional neural network with machine control and automation
- ULO6: Communicate and collaborate effectively by conveying and sharing knowledge and ideas proficiently using verbal, written, and digital mediums in a professional context.
General Assessment Information
To pass this unit you need to: Achieve a total mark equal to or greater than 50% across all aggregate of assessments.
We strongly encourage all students to actively participate in all learning activities. Regular engagement is crucial for your success in this unit, as these activities provide opportunities to deepen your understanding of the material, collaborate with peers, and receive valuable feedback from instructors, to assist in completing the unit assessments. Your active participation not only enhances your own learning experience but also contributes to a vibrant and dynamic learning environment for everyone.
Late Assessment Submission Penalty A 5% penalty (of the total possible mark of the task) will be applied for each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. The submission time for all uploaded assessments is 11:55 pm. A 1-hour grace period will be provided to students who experience a technical concern.
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Project Reports | 45% | No | 4 times throughout session |
| Project Demonstration/Presentation | 10% | No | Week 12 |
| Log Book | 10% | No | Week 12 |
| Final Exam | 35% | No | Exam Period |
Project Reports
Assessment Type 1: Report
Indicative Time on Task 2: 40 hours
Due: 4 times throughout session
Weighting: 45%
Project Reports
On successful completion you will be able to:
- Design, numerically-model, implement, and test a digital motion control system for a non-linear problem
- Apply problem-solving, initiative, time management, and record keeping skills to complete a significant project in a proficient and timely manner.
- Demonstrate the integration of a convolutional neural network with machine control and automation
- Communicate and collaborate effectively by conveying and sharing knowledge and ideas proficiently using verbal, written, and digital mediums in a professional context.
Project Demonstration/Presentation
Assessment Type 1: Demonstration
Indicative Time on Task 2: 10 hours
Due: Week 12
Weighting: 10%
Demonstrate your system performance at the same time that you submit your report. Grade criteria posted to iLearn
On successful completion you will be able to:
- Design, numerically-model, implement, and test a digital motion control system for a non-linear problem
- Apply problem-solving, initiative, time management, and record keeping skills to complete a significant project in a proficient and timely manner.
- Demonstrate the integration of a convolutional neural network with machine control and automation
- Communicate and collaborate effectively by conveying and sharing knowledge and ideas proficiently using verbal, written, and digital mediums in a professional context.
Log Book
Assessment Type 1: Log book
Indicative Time on Task 2: 10 hours
Due: Week 12
Weighting: 10%
Assessment of record keeping in Log book
On successful completion you will be able to:
- Design, numerically-model, implement, and test a digital motion control system for a non-linear problem
- Apply problem-solving, initiative, time management, and record keeping skills to complete a significant project in a proficient and timely manner.
- Apply and evaluate advanced mechatronic principles, such as convolutional neural networks, machine vision, and 3D printing, with critical insight and rigour.
- Communicate and collaborate effectively by conveying and sharing knowledge and ideas proficiently using verbal, written, and digital mediums in a professional context.
Final Exam
Assessment Type 1: Examination
Indicative Time on Task 2: 40 hours
Due: Exam Period
Weighting: 35%
Invigilated Final Exam
On successful completion you will be able to:
- Design, numerically-model, implement, and test a digital motion control system for a non-linear problem
- Apply problem-solving, initiative, time management, and record keeping skills to complete a significant project in a proficient and timely manner.
- Research and evaluate, through advanced knowledge, the modelling and use of modern drive technology
- Apply and evaluate advanced mechatronic principles, such as convolutional neural networks, machine vision, and 3D printing, with critical insight and rigour.
- Demonstrate the integration of a convolutional neural network with machine control and automation
1 If you need help with your assignment, please contact:
- the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
- the Writing Centre for academic skills support.
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Delivery and Resources
Workshop and Practical Classes commence in week 1, inlcuding 9am Feb 24 (week 1).
Methods of Communication: We will communicate with you via your university email and through announcements on iLearn. Queries to convenors can either be placed on the iLearn discussion board or sent to the unit convenor via the contact email on iLearn.
Unit Schedule
See iLearn for details
Policies and Procedures
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
- Academic Appeals Policy
- Academic Integrity Policy
- Academic Progression Policy
- Assessment Policy
- Fitness to Practice Procedure
- Assessment Procedure
- Complaints Resolution Procedure for Students and Members of the Public
- Special Consideration Policy
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Academic Integrity
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
- Workshops
- Chat with a WriteWISE peer writing leader
- Access StudyWISE
- Upload an assignment to Studiosity
- Complete the Academic Integrity Module
The Library provides online and face to face support to help you find and use relevant information resources.
Student Services and Support
Macquarie University offers a range of Student Support Services including:
- IT Support
- Accessibility and disability support with study
- Mental health support
- Safety support to respond to bullying, harassment, sexual harassment and sexual assault
- Social support including information about finances, tenancy and legal issues
- Student Advocacy provides independent advice on MQ policies, procedures, and processes
Student Enquiries
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
IT Help
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Changes from Previous Offering
This is the first offereing of this unit; however, we value student feedback to be able to continually improve the way we offer our units. As such we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link in the iLearn page.
Unit information based on version 2025.02 of the Handbook