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Unit of study_

MTRX3760: Mechatronic Systems Design

Semester 2, 2021 [Normal day] - Camperdown/Darlington, Sydney

This unit of study follows a systems engineering approach to the integration of hardware and software components to form mechatronic systems. Sensors: dead reckoning and inertial sensors; external sensors including ultrasonic, laser, radar and GPS; sensor interfaces, serialisation and data streams. Methodologies for object-oriented design; the C++ language: classes and class design; overloading; inheritance and polymorphism; iostreams. Operating system: introduction to structure and principles; facilities for interprocess communication and synchronisation; device drivers and applications programming; Gnu software tools; make and related utilities; communications middleware for distributed software. Students will complete a six-week project working in groups to design and implement a distributed mechatronic system.

Unit details and rules

Unit code MTRX3760
Academic unit Aerospace, Mechanical and Mechatronic
Credit points 6
Prohibitions
? 
None
Prerequisites
? 
MTRX2700
Corequisites
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Donald Dansereau, donald.dansereau@sydney.edu.au
Lecturer(s) Donald Dansereau, donald.dansereau@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home short release) Type D final exam hurdle task Final Exam
Take-home short release exam
40% Formal exam period 3 hours
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7
Assignment Lab Exercise 1
Code design and implementation plus short report
5% Week 03 One week
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7
Assignment Lab Exercise 2
Code design & implementation, plus short report
5% Week 04 One week
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7
Assignment Lab Exercise 3
Code design & implementation, plus short report
5% Week 05 One week
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7
Assignment Lab Exercise 4
Code design & implementation, plus short report
5% Week 06 One week
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7
Assignment group assignment Project 1
Code design & implementation, plus report
10% Week 08
Due date: 08 Oct 2021 at 23:55
Two weeks
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment group assignment Project 2
Design & implement complex system: demo, code and report
30% Week 13
Due date: 12 Nov 2021 at 23:55
Five weeks
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
hurdle task = hurdle task ?
group assignment = group assignment ?
Type D final exam = Type D final exam ?

Assessment summary

  • Lab Exercises 1-4: Students individually complete system design and coding tasks to demonstrate application of the fundamental system design and applied C++ programming skills covered cumulatively in lectures. Students submit both code and a brief report communicating key design choices.
  • Project 1: In groups, students complete a moderately scaled ROS-based mechatronic system design and implementation. Student groups submit both code and a brief report communicating key design choices and documenting the project’s performance.
  • Project 2: In groups, students complete a substantial ROS-based mechatronic system design and implementation. Student groups submit code, a brief report communicating key design choices and project outcomes, a video documenting the key aspects of the project, and are given an opportunity to answer questions in an interactive Q&A session during their final lab session.
  • Final Exam: The final exam will be a take-home short release (3 hour) open-book exam.
  • Due Date and Time: Lab Exercises are due prior to the student’s next scheduled lab session in Weeks 3, 4, 5 and 6. Project 1 and 2 reports are due at 11:55pm Friday of Weeks 8 and 13.
  • Demonstration: Project 2 must be demonstrated in the group’s scheduled lab session, Friday of Week 12 or Monday of Week 13.
  • Moderation of Group Work Marks: Group marks will be moderated on the basis of individual effort and understanding, as perceived by the lecturer and tutor(s) and as self-reported by group members.
  • Must Pass Both Components: To pass this unit of study it is necessary to obtain a mark of not less than 45% in both the assignment and examination components. If you fail either the assignment component or the exam the maximum mark you can get for the unit of study is 45%.
  • Detailed information for each assessment task can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Group marks for Project Work will be moderated on the basis of individual effort and understanding, as perceived by the Lecturer and Tutor(s). To pass this unit of study it is necessary to obtain a mark of not less than 45% in both the (assignment + project) and examination components. Otherwise, the maximum mark that will be awarded is 45%.

Students who borrow hardware as part of this unit must return the hardware in working condition. Failure to cooperate in returning hardware may result in the student’s final results being withheld.

Result name

Mark range

Description

High distinction

85 - 100

Work of exceptional standard.  Work demonstrates mastery of the concepts and principles covered in class, as well as initiative and ingenuity in applying concepts to new situations. Work shows pointed and critical analysis of material as well as thoroughness and thoughtfulness. Demonstrates a comprehensive understanding of the unit material and its relevance in a wider context.

Distinction

75 - 84

Work of superior standard.  Work demonstrates initiative, complex understanding and original analysis and application of subject matter in context; shows critical understanding of the principles and values underlying the unit of study.  In particular, students who aim for a Distinction and higher will have to accomplish the requirements of a Credit and should be able to:

  • Demonstrate in-depth understanding of material beyond the immediate scope of the lecture material.
  • Generalise and apply concepts to more complicated scenarios.
  • Analyse complex mechatronic systems, and apply a systems engineering approach in order to develop and demonstrate working systems following principled design practices.
     

Credit

65 - 74

Competent work.  Evidence of initiative in learning, sound grasp of subject matter and appreciation of key issues and context.  Engages critically and creatively with the material and attempts synthesis and application of material.  Goes beyond solving of simple problems to seeing how material in different parts of the unit of study relate to each other by solving problems drawing on concepts and ideas from other parts of the unit of study.  In particular, students who aim for a Credit will have to accomplish the requirements of a Pass and should be able to:

  • Relate between the various components of the course and understand their interaction in terms of design and integration of mechatronic systems.
  • Understand the taxonomy and limitations of key components of mechatronic systems.
  • Understand and apply the principles of object oriented design to design basic mechatronic systems.
  • Implement mechatronic systems using industry-standard tools including C++, Linux, the standard libraries, and ROS robotics middleware.
     

Pass

50 - 64

Work of acceptable standard.  Work meets basic requirements in terms of reading and research and demonstrates a reasonable understanding of subject matter.  Able to solve relatively simple problems involving direct application of particular components of the unit of study.  In particular, students who aim for a Pass should be able to:

  • Understand the principles of object oriented design.
  • Analyse an existing mechatronic system and the underlying system design choices.
  • Synthesise and communicate basic system designs using standard tools including UML class diagrams.
  • Make basic use of standard tools in Linux, C++, and ROS robotics middleware.

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 1. Introduction; 2. The OOP paradigm Lecture and tutorial (5 hr) LO2 LO3 LO5
Week 02 1. Inheritance, UML; 2. Polymorphism Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO7
Week 03 1. Project management; 2. STL Containers Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO7
Week 04 1. Modern C++xx, pointers; 2. Object-oriented design Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO7
Week 05 1. ROS introduction; 2. ROS publishers and subscribers Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO7
Week 06 1. ROS sensor messages; 2. ROS visualisation and debugging Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO7
Week 07 1. STL iterators, algorithms, templating; 2. Streams and overloading Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO7
Week 08 1. Namespaces and nesting 2. ROS TF transforms Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO7
Week 09 1. Sensors; 2. Software design patterns Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 10 1. ROS services and actions; 2. ROS plugins / nodelets Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 11 1. ROS localisation; 2. ROS computer vision Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 12 1. ROS navigation stack; 2. Threading A Lecture and tutorial (5 hr) LO2 LO3 LO7
Week 13 1. Threading B; 2. Exam Review Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Weekly Independent reading and research, preparing for lectures by watching and understanding prerecorded material, completing practice questions, completing lab exercises and projects. Independent study (78 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. design, plan for, and execute a significant software project in a team
  • LO2. design and implement object-oriented software in C++
  • LO3. partition a software design into classes and applications modules
  • LO4. document a software design using modelling tools
  • LO5. develop the capacity to think creatively and independently about new design problems
  • LO6. understand in detail the operating principals and interfaces of serially-attached sensors
  • LO7. demonstrate a detailed knowledge of fundamental aspects of a contemporary operating system, as they relate to the design of software to execute within the operating system.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

In response to feedback the scope of the four lab exercises has been reduced and focus sharpened on developing and demonstrating the design principles discussed in lectures. The major project has been split into two parts, with the first introducing a typical ROS workflow in preparation for the second part. The labs consequently represent a smaller proportion of the unit mark, with the project work making up a greater proportion. The reduced lab scope has been balanced by more in-lecture interactive exercises and worked examples, to better emphasise foundational design concepts and best practices. Added material formally introduces the characteristics of well-designed systems and underlines the role of creative problem solving in the systems engineering process. Students will be expected to watch pre-recorded lectures before some of the scheduled live sessions.

Work, health and safety

COVID-19 safety: please refer to the unit's canvas site and monitor email for up-to-date information.

To cope with the COVID situation, lectures will be delivered live via Zoom, and in-person lab attendance is optional and can be replaced with alternative, remote assessments.

For those attending labs in person, we have made some adjustments to how the Mechatronics Lab is managed:

  • You will only have access to the lab during your scheduled lab sessions.
  • A record of attendance will be kept for contact tracing if required.
  • You must maintain a distance of 1.5 metres from others whenever possible.
  • We have limited student numbers in each lab session to allow this physical distancing to be maintained.
  • The use of hand sanitiser and disinfectant wipes before and after using Lab facilities is mandatory.
  • Personal protective equipment (PPE) in the form of face masks is strongly recommended. Please acquire face masks and bring them to all your classes in the Mechatronics Lab starting from Week 1.
  • Obey all Lab signage including guidelines for sanitising workstations and hardware, PPE, and procedures for entry and exit.
  • If you are feeling unwell, please stay at home.


 

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.