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BMET9981: Applied Biomedical Engineering (2019 - Semester 1)

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Unit: BMET9981: Applied Biomedical Engineering (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Aerospace, Mechanical & Mechatronic Engineering
Unit Coordinator/s: Professor Li, Qing
Session options: Semester 1
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Prohibitions: AMME4981 OR BMET4981 OR AMME5981 OR AMME9981.
Brief Handbook Description: This UoS will give students a comprehensive understanding of medical image based solid modelling, advanced finite element methods, constitutive material models, design analysis and optimisation algorithms, experimental validation and their use in biomedical engineering. The students are expected to expand their research and development skills in relevant topics, and 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 advanced 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 project management, analysis, optimisation, and validation for biomedical engineering problems.
Assumed Knowledge: AMME9301 AND AMME9302 AND AMME9500 AND MECH9361. AMME9302 (Materials 1), AMME9301 (Mechanics of Solids 1), AMME9500 (Engineering Dynamics); MECH9361 (Mechanics of Solids 2)
Additional Notes: The primary teaching delivery method will be lectures. This UoS builds on the assumed knowledge of engineering principles and junior and intermediate biology. The purpose of this UoS is prepare students for the challenges presented in taking innovative ideas and successfully converting them to valuable products.
Lecturer/s: Professor Li, Qing
Tutor/s: Mr Andrian Sue, Dr Phillip Tran, Dr Paul Wong
Timetable: BMET9981 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Tutorial 2.00 1 13
2 Lecture 3.00 1 13
3 Project Work - own time 2.00 1 13
4 Research 4.00 1 13
5 Meeting 1.00 1 13
T&L Activities: Lecture: 3 Hrs Lectures per week

Tutorial: 2 Hrs computer lab tutorial per week

Project Work - Each student is expected to join a team/group with no more than 6 members for a real life research and development project in biomedical engineering. The student is expected to meet at least once per week to discuss thei rproject work. Each student will present to the entire class twice per semester.

study time: 7 hours per week outside of formal contact hours will be needed in order to successfully complete assignments, project and study.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Unassigned Outcomes
1. Knowledge and skills of design of biomedical devices
2. Understanding of design analysis, and validation
3. Knowledge of materials selection in biomedical product development.
4. Knowledge of biological response, including remodelling and wound healing, in biomedical product development.
5. Knowledge of biomechanical issues in biomedical product development.
6. Skills of technical reporting and individual seminar presentation.
7. Knowledge of modelling and simulation issues in biomedical product development.
8. Knowledge of commercialisation strategies and IP protection in biomedical product development.
9. Understanding of professional society, ethics and regulationary affairs
10. Skills in a team based project environment
11. Project management skills and ability of progressing the project
12. Skills of seaching for relevant literature and patents
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment #1 - CT/MRI modelling mini-project No 10.00 Week 5 1, 2, 3, 4, 5, 6, 7,
2 Assignment #2 - Prosthesis Modeling mini-project No 10.00 Week 9 1, 2, 3, 4, 5, 6, 7, 12,
3 Assignment #3 - Bone Remodelling topical study No 10.00 Week 13 4, 5, 7,
4 Quiz No 20.00 Week 12 1, 2, 3, 4, 5, 6, 7,
5 Presentation/Seminar (mid term) Yes 15.00 Week 7 3, 4, 5, 6, 7, 8, 12,
6 Presentation/Seminar (Final) Yes 15.00 Week 11 1, 2, 3, 4, 5, 8, 9, 10, 11,
7 Major Project Report No 20.00 Week 13 1, 3, 4, 5, 7, 10, 11,
Assessment Description: Assignment: Assignment 1 (Week 5)

Assignment: Assignment 2 (Week 9)

Assignment: Assignment 3 (Week 13)

Report: Major Project Report (cover 40~50 scientific articles in peer-reviewed journals)

Quiz: Week 12 (total: 30%)

Project: Research project on a product development issue (group work start from week 1)

Give mid-term and final seminars at Week 7 and 11 respectively, and final individual report at week 13.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Lecture: Introduction and Overview; Medical Imaging
Week 2 Lecture/Tutorial: Image Processing and Reconstruction
Week 3 Lecture/Tutorial: Finite Element Techniques in Biomedical Engineering
Assessment Due: Presentation: Introduction to the group projects
Week 4 Lecture/Tutorial: Modelling analysis in biomedical problems
Week 5 Lecture/Tutorial: Design optimisation for biomedical problems
Assessment Due: Assignment #1 - CT/MRI modelling mini-project
Week 6 Lecture/Tutorial: Biomechanical Modelling of Musculoskeletal Systems
Week 7 Assessment Due: Seminar #1
Assessment Due: Presentation/Seminar (mid term)
Week 8 Lecture/Tutorial: Applied Biomaterials
Week 9 Lecture/Tutorial: Bone Remodelling
Assessment Due: Assignment #2 - Prosthesis Modeling mini-project
Week 10 Lecture/Tutorial: Modelling of Damage, Fracture, and Healing
Week 11 Assessment Due: Presentation/Seminar (Final)
Week 12 Quiz (one hour paper)
Assessment Due: Quiz
Week 13 Lecture/Tutorial: Industry guest lecture
Assessment Due: Assignment #3 - Bone Remodelling topical study
Assessment Due: Major Project Report

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Master of Professional Engineering (Accelerated) (Biomedical) 2019, 2020
Master of Professional Engineering (Biomedical) 2019, 2020
Master of Engineering 2019, 2020

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
(6) Communication and Inquiry/ Research (Level 3) No 0%
(7) Project and Team Skills (Level 3) No 0%
(8) Professional Effectiveness and Ethical Conduct (Level 3) No 0%
(5) Interdisciplinary, Inclusiveness, Influence (Level 4) No 0%
(4) Design (Level 4) No 0%
(2) Engineering/ IT Specialisation (Level 4) No 0%
(3) Problem Solving and Inventiveness (Level 4) No 0%
(1) Maths/ Science Methods and Tools (Level 3) No 0%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.