Outline

Overview

The application of science and technology at the nanoscale for biomedical problems promises to revolutionise medicine. Recent years have witnessed unprecedented advances in the diagnosis and treatment of diseases by applying nanotechnology to medicine. This course focuses on explaining the fundamentals of nanomedicine, and highlighting the special properties and application of nanomaterials in medicine. This course also reviews the most significant biomedical applications of nanomaterials including the recent breakthroughs in drug delivery, medical imaging, gene therapy, biosensors and cancer treatment.

Unit details and rules

Academic unit	Biomedical Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	AMME5931
Assumed knowledge ?	{[(BIOL1XXX or MBLG1XXX) and CHEM1XXX and PHYS1XXX] or [(AMME1961 or BMET1961)] and (MECH2901 or BMET2901)]} and (NANO2XXX or AMME1362)
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Gurvinder Singh, gurvinder.singh@sydney.edu.au
Lecturer(s)	Gurvinder Singh, gurvinder.singh@sydney.edu.au
Tutor(s)	Lois Lam, yiktunglois.lam@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Supervised exam ?	Final examination Examination on the content covered during the semester	40%	Formal exam period	2 hours
Outcomes assessed:
Presentation	In class presentation Group presentation from week 9 to week 11	15%	Multiple weeks	12 min
Outcomes assessed:
Tutorial quiz	Mid Semester Quiz Live mid-semester quiz based on the lecture content from wk1 to wk6.	7.5%	Week 08 Due date: 14 Apr 2025 at 10:10 Closing date: 14 Apr 2025	40 min
Outcomes assessed:
Tutorial quiz	Final Semester Quiz In Class final semester quiz based on the lecture content from wk 7 to wk11	7.5%	Week 12 Due date: 19 May 2025 at 10:10 Closing date: 19 May 2025	40 min
Outcomes assessed:
Assignment	Lab Report Lab activities from week 3 to week 7	20%	Week 12 Due date: 23 May 2025 at 23:59	Report Submission: Week 12
Outcomes assessed:
Small continuous assessment	Assignment Individual in-class assessment based each week assignment.	10%	Weekly	Week 2-12 Due date: each week Friday
Outcomes assessed:
= group assignment ? = AI allowed ?

Assessment summary

Assessment Summary:

Two quizzes (15%): Mid semester (wk8)/end of semester (wk12)

Tutorial activities participation: Class assignment (10%)

Group presentation: Class assignment (15%) (wk 9 to wk 11)

Lab report submission based on lab work (20%)

Final examination based on lecture content (40%)

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (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	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at an exceptional standard as defined by grade descriptors or exemplars established by the faculty.
Distinction	75 - 84	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at a very high standard as defined by grade descriptors or exemplars established by the faculty.
Credit	65 - 74	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at a good standard as defined by grade descriptors or exemplars established by the faculty.
Pass	50 - 64	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at an acceptable standard as defined by grade descriptors or exemplars established by the faculty.
Fail	0 - 49	To be awarded to students who, in their performance in assessment tasks, fail to demonstrate the learning outcomes for the unit at an acceptable standard established by the faculty. This grade, with corresponding mark, should also be used in cases where a student fails to achieve a mandated standard in a compulsory assessment, thereby failing to demonstrate the learning outcomes to a satisfactory standard. In such cases the student will receive the mark awarded by the faculty up to a maximum of 49.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

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

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator.

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions.

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit.

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply.

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site.

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.

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.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Introduction to nanomaterials in medicine	Lecture (2 hr)
Week 02	Synthesis of nanoparticles	Lecture and tutorial (4 hr)
Week 03	Nanocharacterization tools	Lecture and tutorial (4 hr)
Week 04	Protein-nanoparticle interaction	Lecture and tutorial (4 hr)
Week 04	Lab1: Synthesis of nanomaterials	Practical (2 hr)
Week 05	Cell-nanoparticle interaction	Lecture and tutorial (4 hr)
Week 05	Lab2: Functionalization and characterization of nanomaterials	Practical (2 hr)
Week 06	Nanotoxicity	Lecture and tutorial (4 hr)
Week 07	Lipid nanoparticles for biomedical applications	Lecture and tutorial (4 hr)
Week 07	Lab 3: Cell Culture: Incubation of functionalized nanoparticles to cell	Practical (2 hr)
Week 08	Lab 4: Cell Culture: - Live-dead assays after seven days.	Practical (2 hr)
Week 09	Gold nanoparticles for biomedical applications	Lecture and tutorial (4 hr)
Week 10	Magnetic nanoparticles for imaging contrast and therapeutic agents	Lecture and tutorial (4 hr)
Week 11	Quantum dots: A promising tool for bioimaging and biodiagnostic applications	Lecture and tutorial (4 hr)
Week 12	Intelligent micro-and nanorobots for biomedical applications	Lecture and tutorial (4 hr)
Week 13	Nanoporous materials for biomedical applications and revision	Lecture and tutorial (4 hr)

Attendance and class requirements

Class attendance is required.

The University attendance policy can be found here (see clause 68): https://www.sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2014/378&RendNum=0

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. discuss the current state and recent developments in the field of nanomaterials in medicine
LO2. apply and integrate engineering principles to nanomedicine
LO3. evaluate and assess the current challenges in nanomedicine
LO4. create novel nanomaterial-based solutions to address current unmet clinical needs or to address limitations of current solutions
LO5. formulate new designs for nanoscale materials to address unmet needs in the biomedical sector
LO6. devise solutions taking financial and technical feasibility, as well as surgical considerations into account when designing solutions
LO7. appreciate and recognize the interdisciplinary nature of the field of nanomedicine, whereby concepts from a wide range of areas including materials science, human biology, chemistry and physics are brought together
LO8. employ techniques for effective oral and written communication of the concepts and knowledge underlining the background science and engineering applications of nanomaterials in medicine
LO9. identify, obtain, and analyse information using appropriate search strategies to gain in-depth knowledge and current advances in nanomaterials used in medicine
LO10. employ professional techniques and activities such as assigning tasks, managing time, meeting deadlines, and communicating with your colleagues in a professional manner.

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.

This unit is continuously modified based on appropriate student feedback. In this year, changes were made in the unit content and assessment structure.

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

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

BMET5931: Nanomaterials in Medicine

Semester 1, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links