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AMME5981: Computational Biomedical Engineering (2012 - Semester 1)

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Unit: AMME5981: Computational 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.
Brief Handbook Description: This UoS will give students a comprehensive understanding of finite element method, material constitutive modelling, CT/MRI based solid modelling, design analysis and optimisation, and their applications in biomedical engineering. The students are expected to expand their research and development skills in relevant topics, and gain experience and skills in finite element software for the solution to sophisticated problems associated with biomedical engineering.

The objectives are:

1. Understanding of the nature of biomedical engineering problems;

2. Exploring CT/MRI image processing, solid modelling etc;

3. Understanding of finite element methods and developing FE models for biomedical engineering analysis;

4. Understanding biomaterials constitutive modelling;

5. Understanding bone remodelling simulation, fracture mechanics;

6. Developing prosthetic design optimisation.
Assumed Knowledge: AMME5301 AND AMME5302 AND AMME5500 AND MECH5361 AND MECH3921. AMME5302 (Materials 1), AMME5301 (Mechanics of Solids 1), AMME5500 (Engineering Dynamics); MECH3921 (Biomedical Design and Technology), MECH 5361 (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 Sriram Tammareddi
Timetable: AMME5981 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Tutorial 2.00 1 13
2 Lecture 2.00 1 13
3 Project Work - own time 4.00 1 13
T&L Activities: Lecture: 2 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: 4 hours per week outside of formal contact hours will be needed in order to successfully complete assignments, project and study.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Personal and intellectual autonomy. This will be developed through private study associated with the lecture material. Maths/Science Methods and Tools (Level 1)
Information literacy. This will be developed through the literature review and project reporting. Information Seeking (Level 1)
Communication. This will be developed through the scheduled seminars. Communication (Level 1)
Ethical, social, and professional understanding. This will be developed through the lecture material. Professional Conduct (Level 1)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

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.

Information Seeking (Level 1)
1. Skills of seaching for relevant literature and patents
Communication (Level 1)
2. Skills of technical reporting and individual seminar presentation.
Professional Conduct (Level 1)
3. Knowledge of modelling and simulation issues in biomedical product development.
4. Knowledge of commercialisation strategies and IP protection in biomedical product development.
Engineering/IT Specialisation (Level 1)
5. Knowledge of materials selection in biomedical product development.
6. Knowledge of biological response, including remodelling and wound healing, in biomedical product development.
7. Knowledge of biomechanical issues in biomedical product development.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment No 10.00 Week 4 2, 3, 5, 6,
2 Assignment No 10.00 Week 8 1, 3, 5, 6, 7,
3 Report No 20.00 Week 8 3, 5, 6, 7,
4 Quiz No 20.00 Week 12 3, 5, 6, 7,
5 Presentation/Seminar Yes 30.00 Week 13 1, 2, 3, 4, 5, 6, 7,
6 Assignment Yes 10.00 Week 13 3, 6, 7,
Assessment Description: Assignment: Assignment 1 (Week 4)

Assignment: Assignment 2 (Week 8)

Assignment: Assignment 3 (Week 12)

Report: Literature Review Report (cover 40~50 scientific articles in peer-reviewed journals)

Quiz: 1 hour paper (15%) and 2 hour computer (15%) – 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 8 and 13 respectively, and final 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: Policies regarding academic honesty and plagiarism, special consideration and appeals in the Faculty of Engineering and Information Technologies can be found on the Faculty's policy page at http://www.eng.usyd.edu.au/policies Faculty policies are governed by Academic Board resolutions whose details can be found on the Central Policy Online site at http://www.usyd.edu.au/policy/

Policies regarding assessment formatting, submission methods, late submission penalties and assessment feedback depend on the unit of study. Details of these policies, where applicable, should be found above with other assessment details.

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 Introduction to computational modelling and software in biomedical engineering
Week 2 Biomechanical modelling of musculoskeletal systems
Week 3 Constitutive models of biomaterials
Week 4 Introduction to CT/MRI and image processing
Assessment Due: Assignment
Week 5 Solid modelling and design optimisation
Week 6 Fundamentals of finite element method
Week 7 Finite element modelling issues
Week 8 Report of literature review and preliminary studies
Assessment Due: Assignment
Assessment Due: Report
Week 9 Bone remodelling and simulation
Week 10 Modelling of damage, fracture and healing
Week 11 Clinical applications of modelling
Week 12 Quiz (one hour paper and 2 hour computer)
Assessment Due: Quiz
Week 13 Seminar and Final Report
Assessment Due: Presentation/Seminar
Assessment Due: Assignment

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 (Biomedical) 2010, 2011, 2012, 2013, 2014
Master of Engineering (2024 and earlier) 2013, 2014

Course Goals

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

Attribute Practiced Assessed
Maths/Science Methods and Tools (Level 1) Yes 0%
Information Seeking (Level 1) Yes 4%
Communication (Level 1) Yes 14%
Professional Conduct (Level 1) Yes 28%
Engineering/IT Specialisation (Level 1) No 54%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 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.