BMET9971: Semester 1, 2020

University home

Library

Current students

Staff intranet

Find an event

Give

Current students

Units BMET9971 Semester 1 2020 [Normal day]

Unit outline_

BMET9971: Tissue Engineering

Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

With the severe worldwide shortage of donor organs and the ubiquitous problem of donor organ rejection, there is a strong need for developing technologies for engineering replacement organs and other body parts. Recent developments in engineering and the life sciences have begun to make this possible, and as a consequence, the very new and multidisciplinary field of tissue engineering has been making dramatic progress in the last few years. This unit will provide an introduction to the principles of tissue engineering, as well as an up to date overview of recent progress and future outlook in the field of tissue engineering. This unit assumes prior knowledge of cell biology and chemistry and builds on that foundation to elaborate on the important aspects of tissue engineering. The objectives are: To gain a basic understanding of the major areas of interest in tissue engineering; To learn to apply basic engineering principles to tissue engineering systems; To understand the promises and limitations of tissue engineering; To understand the advances and challenges of stem cell applications; Enable students to access web-based resources in tissue engineering; Enable students to develop basic skills in tissue engineering research.

Unit details and rules

Academic unit	Biomedical Engineering
Credit points	6
Prerequisites ?	(AMME5921 or BMET5921 OR BMET9921)
Corequisites ?	None
Prohibitions ?	AMME5971 OR AMME9971 OR AMME4971 OR BMET4971
Assumed knowledge ?	AMME9901 or BMET9901 or [6 credit points of 1000-level biology and 6 credit points of 1000-level chemistry]
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Jiao-Jiao Li, jiaojiao.li@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam	Final exam Final exam	20%	Formal exam period	1 hour
Outcomes assessed:
Assignment	Lecture and tutorial activities Weekly lecture and tutorial activities	10%	Multiple weeks	N/A
Outcomes assessed:
Presentation	Group presentation Group presentation	30%	Week 08	N/A
Outcomes assessed:
Assignment	Grant proposal Individual assignment - grant proposal	40%	Week 12	N/A
Outcomes assessed:
= group assignment ?

Assessment summary

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	Overview of tissue engineering	Lecture and tutorial (4 hr)
Week 02	Synthetic elastic biomaterials	Lecture and tutorial (4 hr)
Week 03	Tissue engineering in burns: clinical reality	Lecture and tutorial (4 hr)
Week 04	The future of cell and gene therapies	Independent study (4 hr)
Week 05	Biomaterials in tissue engineering	Independent study (4 hr)
Week 06	Role of the microenvironment in tissue engineering	Independent study (4 hr)
Week 07	Bone regeneration using synthetic approaches	Independent study (4 hr)
Week 08	Stem cell biology and applications in tissue engineering	Independent study (4 hr)
Week 09	Vascular tissue engineering	Independent study (4 hr)
Week 10	The therapeutic use of adult stem cells	Independent study (4 hr)
Week 11	Injectable biomaterials for tissue engineering	Independent study (4 hr)
Week 12	Space invaders: how cancer cells negotiate tissue barriers	Independent study (4 hr)
Week 13	Course reflection and exam preparation	Independent study (4 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. develop team work skills by working within a group to generate tissue engineering solutions
LO2. collect, analyse and critically evaluate information from the tissue engineering literature
LO3. discuss and compare the common approaches used in tissue engineering
LO4. communicate ideas and findings in tissue engineering in verbal and written forms
LO5. devise a tissue engineering solution to real-life clinical problems
LO6. explain the basic concepts of tissue engineering and relate these concepts to specific disciplines in the field
LO7. propose clinical problems to which a tissue engineering solution can be applied.

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.

Assessment weightings and class activities have been adjusted

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

On this page

Useful links

Media

Student links

About us

Connect