BMET5953: Semester 1, 2025
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Unit outline_

Unit outlines now display a small icon AI Allowed = AI allowed restricted AI = restricted AI to indicate which assessments allow you to use AI tools such as Microsoft Copilot Chat. Make sure you are aware of how AI can be used, as unauthorised use is a breach of academic integrity.

BMET5953: Rehabilitation Engineering

Semester 1, 2025 [Normal day] - Camperdown/Darlington, Sydney

Rehabilitation Engineering is a staple course of biomedical engineering programs worldwide. This unit focuses on rehabilitation devices, external and internal, for communication and mobility. Rehabilitation engineering is the application of engineering analysis and design expertise to overcome disabilities and improve quality of life with assistive technologies. The unit will cover the inclusive design or 'design for all' process with consumer engagement, human-computer interfaces, mobility and communication needs. All students will design a project that addresses an unmet need. There will be visits to disability services organisations and learn about the National Disability Insurance Scheme. The unit will be taught through lectures and the design lab including computational and hands on design. Communication skills will be tested through a project 'pitch' presentation. Some teaching will be provided by rehabilitation engineers working in industry.

Unit details and rules

Academic unit Biomedical Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

1000-level mathematics and 1000-level biology

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Alistair McEwan, alistair.mcewan@sydney.edu.au
Tutor(s) Shatabdi Das, shatabdi.das@sydney.edu.au
Luis Fernando Herbozo Contreras, luis.herbozocontreras@sydney.edu.au
Wesley Zhang, wesley.zhang@sydney.edu.au
The census date for this unit availability is 31 March 2025
Type Description Weight Due Length
Small continuous assessment AI Allowed MCQs Development
Multiple-choice questions (MCQs) designed the student based on lecture material. Due on every odd week from week 3 to week 11 inclusive.
10% Multiple weeks 5 MCQs (~1 page)
Outcomes assessed: LO1 LO3 LO4
Presentation group assignment Group project plan pitch
Initial pitch of design idea for group project presented in week 4 tutorial. Slide decks are due on Friday week 3.
5% Week 03
Due date: 14 Mar 2025 at 23:59
5 minutes in tutorial.
Outcomes assessed: LO1 LO2 LO6
Assignment group assignment AI Allowed Group report draft
Draft group lab report for design project (with draft design submissions)
10% Week 06
Due date: 04 Apr 2025 at 23:59
5 pages
Outcomes assessed: LO1 LO6 LO5 LO2
Small test Interactive oral 1
‘Viva style’/interactive oral examination. Group based, marked individually
15% Week 08
Due date: 14 Apr 2025 at 17:00
15 minutes in tutorial.
Outcomes assessed: LO1 LO4 LO3
Small test Interactive oral 2
‘Viva style’/interactive oral examination. Group based, marked individually.
20% Week 10
Due date: 05 May 2025 at 17:00
15 minutes
Outcomes assessed: LO1 LO6 LO4 LO3
Assignment hurdle task group assignment AI Allowed Final group report
Final group project report
20% Week 11
Due date: 16 May 2025 at 23:59
15 pages
Outcomes assessed: LO1 LO6 LO5 LO4 LO2
Presentation group assignment Group project presentation
Final proposal pitch for major group project presented to a panel of industry experts occurring in weeks 12 and 13 tutorials. Slide decks are due on Friday Week 11.
20% Week 11
Due date: 16 May 2025 at 23:59
15min in tutorial class weeks 12-13
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
hurdle task = hurdle task ?
group assignment = group assignment ?
AI allowed = AI allowed ?

Assessment summary

The multiple choice quiz question development is a peer reviewed development of quiz questions based on the lecture and tutorial material. They will be assessed against ability to test recall and comprehension, application and analysis and evaluation. These will be trialled in the in-class multiple choice quiz.

The individual report is a review of assistive technologies in particular those that use the latest technology including AI.

The group report and presentation are based on a user study of an assistive technology design and development.

You must get 50% in each of the individual and group work components to pass the unit.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (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.

Result name

Mark range

Description

High distinction

85 - 100

To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at an exceptional standard as defined by grade descriptors or exemplars established by the faculty.

Distinction

75 - 84

To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at a very high standard as defined by grade descriptors or exemplars established by the faculty.

Credit

65 - 74

To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at a good standard as defined by grade descriptors or exemplars established by the faculty.

Pass

50 - 64

To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at an acceptable standard as defined by grade descriptors or exemplars established by the faculty.

Fail

0 - 49

To be awarded to students who, in their performance in assessment tasks, fail to demonstrate the learning outcomes for the unit at an acceptable standard established by the faculty. This grade, with corresponding mark, should also be used in cases where a student fails to achieve a mandated standard in a compulsory assessment, thereby failing to demonstrate the learning outcomes to a satisfactory standard. In such cases the student will receive the mark awarded by the faculty up to a maximum of 49.

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

For more information see guide to grades.

Use of generative artificial intelligence (AI) and automated writing tools

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator. 

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions. 

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit. 

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply. 

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site

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.

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.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 01 Introduction to rehabilitation engineering Lecture and tutorial (4 hr) LO1 LO4 LO5
Week 02 Introduction to communication and user based design for inclusion Lecture and tutorial (4 hr) LO1 LO3 LO4 LO6
Week 03 Introduction to Mobility needs Lecture and tutorial (4 hr) LO2 LO3 LO4 LO6
Week 04 Lower Limb Lecture and tutorial (4 hr) LO1 LO3 LO4 LO6
Week 05 Rehabiliation robotics Lecture and tutorial (4 hr) LO2 LO3 LO4 LO5 LO6
Week 06 Upper Limb Lecture and tutorial (4 hr) LO1 LO3 LO4 LO6
Week 07 Transfer Systems Lecture and tutorial (4 hr) LO2 LO3 LO5
Hearing Lecture and tutorial (4 hr) LO1 LO3 LO4 LO5
Week 09 Assistive Technology for communication Lecture and tutorial (4 hr) LO1 LO3 LO4 LO6
Week 10 Speech recognition Lecture and tutorial (4 hr) LO2 LO3 LO4 LO5
Week 11 Funding supports and services Lecture and tutorial (4 hr) LO1 LO3 LO4 LO6
Week 12 Occupational Therapy Lecture and tutorial (4 hr) LO3 LO4 LO6
Week 13 Review Lecture and tutorial (4 hr) LO1 LO2 LO3

Attendance and class requirements

Class attendance is required.

The University attendance policy can be found here (see clause 68): https://www.sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2014/378&RendNum=0 

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. Present evaluations and interpretations of theoretical issues and concepts. Clarify requirements to determine inquiry/research needs; evaluate & interpret data; manage research. Use information for basic analytical reporting & show understanding of discipline theoretical and methodological issues; interpret and discuss situations involving uncertainty, ambiguity, conflicting information.
  • LO2. Small project proficiency. Proficiently apply standard project management tools & methodologies for assigned project activities on a small team scale.
  • LO3. Professional reflection. Exercise sound critical judgement, at general level, on professional context and conduct issues.
  • LO4. Interdisciplinary contexts & systems. Understand the integration of system components to accomplish specific set of objectives in interdisciplinary contexts. Evaluate design solutions from multiple perspectives including ecological, social sustainability, cultural values, as well as, economic risk & safety, and technical perspectives.
  • LO5. Full cycle design. Understand the impact of high uncertainty and/or context on the design cycle & the benefit of systems design/engineering framework.
  • LO6. Justify creative solutions to non-routine & complex problems/opportunities. Use a structured process of inquiry & evidence based research to clarify reasoning and decisions; experiment with different (systems) methodologies or thinking approaches & strategies for innovation.

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

Alignment with Competency standards

Outcomes Competency standards
LO1
Engineers Australia Curriculum Performance Indicators - EAPI
3.1. An ability to communicate with the engineering team and the community at large.
4. ENGINEERING APPLICATION EXPERIENCE
4.3. Proficiency in the engineering design of components, systems and/or processes in accordance with specified and agreed performance criteria.
4.4. Skills in implementing and managing engineering projects within the bounds of time, budget, performance and quality assurance requirements.
5.3. Skills in the selection and characterisation of engineering systems, devices, components and materials.
5.4. Skills in the selection and application of appropriate engineering resources tools and techniques, appreciation of accuracy and limitations;.
5.8. Skills in recognising unsuccessful outcomes, sources of error, diagnosis, fault-finding and re-engineering.
Stage 1 Competency Standard for Professional Engineer (UG) - EA
1.3 (L2). Specialist discipline knowledge. (Level 2- Attaining required standard (Bachelor Honours standard)) In-depth understanding of specialist bodies of knowledge within the engineering discipline.
1.4 (L2). Discipline research knowledge. (Level 2- Attaining required standard (Bachelor Honours standard AQF8)) Discernment of knowledge development and research directions within the engineering discipline

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

In the past there were concerns of too much written assessment so this has been reduced.

Disclaimer

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

This unit of study outline was last modified on 12 Feb 2025.

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