Outline

Overview

This UoS will give students an understanding of CT/MRI based solid modelling, finite element methods, constitutive material models, design analysis and optimisation, experimental validation and their use in biomedical engineering. The students are expected to gain skills and experience with finite element software for the solution to sophisticated problems associated with biomedical engineering and experimentation techniques for the validation of these problems. The unit will take a holistic approach to the learning outcomes: an overview of typical biomedical design problems, an overview of finite element analysis software, a detailed look at finite element methods in biomedical applications, and a project-based learning approach to the development of a biomedical prosthesis. By the end of the unit, the students are expected to have familiarised themselves with design analysis, optimisation, and validation for biomedical engineering problems.

Unit details and rules

Academic unit	Biomedical Engineering
Credit points	6
Prerequisites ?	(ENGG1802 OR AMME1802) AND (MECH2400 OR BMET2400)
Corequisites ?	None
Prohibitions ?	AMME4981 OR AMME9981 OR BMET9981
Assumed knowledge ?	MECH3361 AND (MECH2400 OR BMET2400) AND (MECH2901 OR BMET2901) AND MECH3362 AND (MECH3921 OR BMET3921) AND AMME2301 AND (AMME1362 OR AMME2302) AND AMME2500
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Qing Li, qing.li@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Assignment 1	15%	Week 06	n/a
Outcomes assessed:
Presentation	Presentation #1	10%	Week 07	n/a
Outcomes assessed:
Tutorial quiz	Part A: Virtual Paper Question This is a short quiz delivered in the week 12 lecture.	15%	Week 12	1 hour
Outcomes assessed:
Online task	Part B: Computer modelling This computer modelling task will take place in the lecture time of week 12	25%	Week 12	2 hours
Outcomes assessed:
Assignment	Assignment 2	15%	Week 12	n/a
Outcomes assessed:
Assignment	Report	10%	Week 12	n/a
Outcomes assessed:
Presentation	Presentation #2	10%	Week 13	n/a
Outcomes assessed:
= hurdle task ?

Assessment summary

Assignment 1: Biomechanics modelling and CT/MRI image processing.
Assignment 2: Biomechanics analysis and design optimisation.

Detailed information for each assessment 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.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

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.

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

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	1. Introduction and overview; 2. Medical imaging	Lecture and tutorial (5 hr)
Week 02	Image processing and reconstruction	Lecture and tutorial (5 hr)
Week 03	Finite element techniques in biomedical engineering	Lecture and tutorial (5 hr)
Week 04	Modelling analysis in biomedical problems	Lecture and tutorial (5 hr)
Week 05	Design optimisation for biomedical problems	Lecture and tutorial (5 hr)
Week 06	Biomechanical modelling of musculoskeletal systems	Lecture and tutorial (5 hr)
Week 07	#1	Presentation (3 hr)
Week 08	Applied biomaterials	Lecture and tutorial (5 hr)
Week 09	Bone remodelling	Lecture and tutorial (5 hr)
Week 10	Modelling of damage, fracture and healing	Lecture and tutorial (5 hr)
Week 11	Industry guest lecture	Lecture and tutorial (5 hr)
Week 12	Final quiz	Lecture and tutorial (2 hr)
Week 13	#2	Presentation (3 hr)

Attendance and class requirements

Assignment: Three mini-project based assignments are required throughout the whole session. These mini-projects will involve literature review in the specific topics given, conceptual design, design analysis, research and reporting.
Seminar: This unit of study will be structured as a product analysis and development project related to the biomedical industry. After some introductory lectures on the topics, students will form into groups of approximately 10, and each group will work on a specific biomedical design project following formal design protocols, including design analysis, regulatory considerations, and commercialisation/IP considerations. Each group is expected to meet at least one hour per week to discuss the project work. The groups will present two major seminars to the entire class and each student should deliver at least one presentation. The entire class will be engaged to question the presenters.

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

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. demonstrate skills of technical report and seminar presentation and questioning
LO2. demonstrate skills in project management through weekly meetings and logbook
LO3. demonstrate knowledge of regulatory issues in biomedical product development
LO4. demonstrate knowledge of commercialisation strategies and IP protection in biomedical product development
LO5. demonstrate skills in teamwork, leadership and project management
LO6. demonstrate skills of biomedical engineering design analysis and research
LO7. demonstrate knowledge of materials selection in biomedical product development
LO8. demonstrate knowledge of biological response to mechanical loading, including remodelling and wound healing, in biomedical product development.

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
Learning outcomes

Alignment with Competency standards

Outcomes	Competency standards
	Engineers Australia Curriculum Performance Indicators - 3.1. An ability to communicate with the engineering team and the community at large. 3.2. Information literacy and the ability to manage information and documentation. 3.4. An understanding of and commitment to ethical and professional responsibilities. 3.6. An ability to function as an individual and as a team leader and member in multi-disciplinary and multi-cultural teams. 5.9. Skills in documenting results, analysing credibility of outcomes, critical reflection, developing robust conclusions, reporting outcomes.
	National Standard of Competency for Architects - 1.2. Establishment, analysis and evaluation of client project requirements and objectives. 1.3. Assessment of project budget and timeframe against project requirements and objectives. 1.4. Identification of factors that may impact on client project requirements and objectives. 1.5. Knowledge of different procurement processes available and evaluation of the impact these have on the project. 1.7. Preparation of project brief for approval by client and relevant stakeholders. 6. Documentation: Documentation
	National Standard of Competency for Architects - 9.1. Knowledge and implementation of appropriate practice model to ensure efficient, effective and ethical professional service. 9.2. Knowledge and application of practice resources required to ensure efficient and effective professional service. 9.6. Knowledge and application of professional ethics and ethical practices in respect to practice management and provision of professional service. 9.7. Knowledge of legal and regulatory requirements and obligations in regard to architectural practice, practice management and registration as an architect. 9.9. Provision of independent and objective advice through all phases of professional practice.
	Engineers Australia Curriculum Performance Indicators - 4.6. Skills in operating within a business environment, organisational and enterprise management and in the fundamental principles of business.
	Engineers Australia Curriculum Performance Indicators - 3.1. An ability to communicate with the engineering team and the community at large. 3.6. An ability to function as an individual and as a team leader and member in multi-disciplinary and multi-cultural teams.
	Engineers Australia Curriculum Performance Indicators - 1.1. Developing underpinning capabilities in mathematics, physical, life and information sciences and engineering sciences, as appropriate to the designated field of practice. 2.3. Meaningful engagement with current technical and professional practices and issues in the designated field. 4.2. Ability to use a systems approach to complex problems, and to design and operational performance. 4.3. Proficiency in the engineering design of components, systems and/or processes in accordance with specified and agreed performance criteria. 4.5. An ability to undertake problem solving, design and project work within a broad contextual framework accommodating social, cultural, ethical, legal, political, economic and environmental responsibilities as well as within the principles of sustainable development and health and safety imperatives. 5.6. Skills in the design and conduct of experiments and measurements.
	Engineers Australia Curriculum Performance Indicators - 5.3. Skills in the selection and characterisation of engineering systems, devices, components and materials.

Engineers Australia Curriculum Performance Indicators -

Competency code	Taught, Practiced or Assessed	Competency standard
1.1		Developing underpinning capabilities in mathematics, physical, life and information sciences and engineering sciences, as appropriate to the designated field of practice.
2.2		Application of enabling skills and knowledge to problem solution in these technical domains.
2.3		Meaningful engagement with current technical and professional practices and issues in the designated field.
2.4		Advanced knowledge and capability development in one or more specialist areas through engagement with: (a) specific body of knowledge and emerging developments and (b) problems and situations of significant technical complexity.
3.1		An ability to communicate with the engineering team and the community at large.
3.2		Information literacy and the ability to manage information and documentation.
3.4		An understanding of and commitment to ethical and professional responsibilities.
4.1		Advanced level skills in the structured solution of complex and often ill defined problems.
4.2		Ability to use a systems approach to complex problems, and to design and operational performance.
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.
4.5		An ability to undertake problem solving, design and project work within a broad contextual framework accommodating social, cultural, ethical, legal, political, economic and environmental responsibilities as well as within the principles of sustainable development and health and safety imperatives.
4.6		Skills in operating within a business environment, organisational and enterprise management and in the fundamental principles of business.
5.2		A commitment to safe and sustainable practices.
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;.
5.5		Skills in the development and application of mathematical, physical and conceptual models, understanding of applicability and shortcomings.
5.6		Skills in the design and conduct of experiments and measurements.
5.8		Skills in recognising unsuccessful outcomes, sources of error, diagnosis, fault-finding and re-engineering.
5.9		Skills in documenting results, analysing credibility of outcomes, critical reflection, developing robust conclusions, reporting outcomes.

Responding to student feedback

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

No changes have been made since this unit was last offered

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

BMET4981: Applied Biomedical Engineering

Semester 1, 2021 [Normal day] - Remote

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect