BMET5907: Semester 2, 2022

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Units BMET5907 Semester 2 2022 [Normal day]

Unit outline_

BMET5907: Orthopaedic and Surgical Engineering

Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney

Overview

The aims and objectives of the UoS are: 1. To introduce the student to the details and practice of orthopaedic engineering; 2. To give students an overview of the diverse knowledge necessary for the design and evaluation of implants used in orthopaedic surgery; 3. To enable students to learn the language and concepts necessary for interaction with orthopaedic surgeons and the orthopaedic implant industry; 4. To introduce the student to the details and practice of other engineering applications in surgery, particularly in the cardiovascular realm.

Unit details and rules

Academic unit	Biomedical Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	MECH4902 OR MECH5907
Assumed knowledge ?	Understanding of engineering mechanics, materials science, and human biology and anatomy
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Zufu Lu, zufu.lu@sydney.edu.au
Lecturer(s)	Gregory Roger, gregory.roger@sydney.edu.au

Type	Description	Weight	Due	Length
Tutorial quiz	Quizzes Quiz on the lectured contents	20%	Multiple weeks	~5-10 mins
Outcomes assessed:
Presentation	Presentation/seminar Group presentation, groups of 6 or less, and each runs for 15 mins.	40%	Week 08	10 min presentation, 5 min question
Outcomes assessed:
Assignment	Report Major individual report	40%	Week 12 Due date: 30 Oct 2022 at 23:59	Around ten pages
Outcomes assessed:
= group assignment ?

Assessment summary

Presentation/seminar: A class presentation, on a topic of choice chosen at start of semester.
Report: An in-depth literature review on a topic of choice chosen at start of semester.
Quizzes: 4 quizzes during the semester (dates to be advised in class).

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	Course overview, anatomy review, bone and joints	Lecture (3 hr)
Week 02	Principles of artificial joint replacement, specifics of knee and hip implants	Lecture (3 hr)
Week 03	Implant design, manufacturing and instrumentation	Lecture (3 hr)
Week 04	Design control and regulatory aspects of orthopaedic innovation	Lecture (3 hr)
Week 05	Vascular Product Development and Design Considerations. Corporate impacts.	Lecture (3 hr)
Week 06	Case Studies of Design in Orthopaedics and the impact on whole of team imperatives. 3	Lecture (3 hr)
Week 07	Spinal Implant Considerations	Lecture (3 hr)
Week 08	Class presentations	Presentation (3 hr)
Week 09	Review of Class Presentations and commentary on the route to successful commercialisation	Lecture (3 hr)
Week 10	Plastic Surgery design issues and practices	Lecture (3 hr)
Week 11	Intellectual Property and its commercial use	Lecture (3 hr)
Week 12	Review of course, discussion of class presentations and assignments	Lecture (3 hr)

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.

Outcomes
Graduate qualities

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

LO1. have an understanding of the role played by engineering technology in surgery
LO2. do in depth literature review to underpin a design project
LO3. learn the language of orthopaedics and be able to present findings to a peer group at an advanced level
LO4. be acquainted with the physical properties of human bones and joints
LO5. understand how the skeleton functions as an engineering structure
LO6. learn the physical characteristics of the materials from which the musculoskeletal system is fabricated and be able to adapt basic engineering principles to the design and fabrication of prosthetic joints or to other devices used for replacement and repair of bones and joints.
LO7. Understanding of intellectual property and commercial exploitation
LO8. Understand design control and regulatory requirements for orthopedic implants.

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

Responding to student feedback

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

The unit of study has been reviewed and revised based on previous feedback.

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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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