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Unit outline_

BMET3962: Introduction to Mechanobiology

Semester 2, 2024 [Normal day] - Camperdown/Darlington, Sydney

This course introduces you to Mechanobiology an emerging field of science that integrates biology and engineering and is now considered to have significant influence on the development of technologies for regenerative medicine. It is well known that tissues and cells are sensitive to their mechanical environment and changes to this environment can affect the physiological and pathophysiological processes. Understanding the mechanisms by which biological cells sense and respond to mechanical signals can lead to the development of novel treatments and therapies for a variety of diseases. The student will gain fundamental insights to the topics related to intracellular network, mechanotransduction, nanomechanical tools in mechanobiology, ECM mechanics and artificial matrix platforms and application of mechanobiology in various pathophysiological processes. The course has a strong practical component to have hands on experience in developing artificial matrix with various mechanical properties, stem cell culture, cell differentiation, staining and imaging.

Unit details and rules

Academic unit Biomedical Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
AMME5962 or BMET5962 or BMET9962
Assumed knowledge
? 

6 credit points of 1000-level biology, 6 credit points of 1000-level chemistry and 6 credit points of 2000-level physiology or equivalent

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Yogambha Ramaswamy, yogambha.ramaswamy@sydney.edu.au
The census date for this unit availability is 2 September 2024
Type Description Weight Due Length
Supervised exam
? 
Final examination
Final exam comprises of a range of questions like MCQ, short & long answer
30% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Participation Tutorial tasks
Undertake tutorial tasks in the tutorial
10% Multiple weeks During 2 hrs tutorials
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Small test Quiz 1
Short and long answer type
10% Week 06
Due date: 03 Sep 2024 at 16:00
1 hour
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Presentation group assignment Presentation
Presentation on the topics related to mechanobiology concepts
20% Week 10
Due date: 08 Oct 2024 at 16:00
15 min presentation
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Small test Quiz 2
Short and long answer type
10% Week 12
Due date: 22 Oct 2024 at 16:00
1 hour
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Skills-based evaluation Theory of practicals quiz
Skills-based assessment
10% Week 13
Due date: 30 Oct 2024 at 09:00
30 min
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Skills-based evaluation Laboratory Report
Skill-based assessment
10% Week 13
Due date: 03 Nov 2024 at 23:59
4 weeks
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
group assignment = group assignment ?

Assessment summary

  • Team seminar: Topics will be allocated in week 2.Presentation on the assigned topic held during the tutorials (wk 10 & 11). Q and A session on the topic of the seminar and relative fundamental knowledge in mechanobiology
  • Small test: Short answer type of questions will assess the topics covered in the lecture. The Quiz will be held during the tutorials. 
  • Skill based evaluation: Theory of practicals quiz (Short answer type of questions) will be conducted in the lab.  The assessments are designed to assess your laboratory skills  and activities 
  • The final lab report should be submitted that includes the details of  laboratory activity, observations made, and data analysis.
  • Final exam will be conducted during exam period and the exam will comprise of a range of questions including short and long answer type of questions

Detailed information for each assessment can be found on Canvas.

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.

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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

The Assessment Procedures 2011 provide that any written work submitted after 11:59pm on the due date will be penalised by 5% of the maximum awardable mark for each calendar day after the due date. If the assessment is submitted more than 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.

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 2023 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 2023. 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

WK Topic Learning activity Learning outcomes
Week 01 Overview of the course and introduction to the emerging field of mechanobiology Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 02 Introduction to cellular polymeric networks Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4
Week 03 Cell signaling and mechanotransduction Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5
Week 04 Extracellular matrix mechanics Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 Overview of analytical methods in mechanobiology: part 1 Lecture and tutorial (4 hr) LO2 LO3 LO4 LO5
Week 06 Overview of analytical methods in mechanobiology: part 2 Lecture and tutorial (4 hr) LO2 LO3 LO4 LO5
Week 07 Role of biomaterials in mechanobiology Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 08 Cancer Mechanobiology Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 Cell migration and the influence of mechanics Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5
Lab 1: Lab induction and Biomaterial fabrication Science laboratory (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 10 Mechanosensitive ion channels: part 1 Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5
Lab 2: Basic of cell culture and stem cell culture Science laboratory (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 11 Mechanosensitive ion channels: part 2 Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5
Lab 3: Immunocytochemistry and Microscopy Science laboratory (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 12 Microfluidic devices in mechanobiology Lecture and tutorial (4 hr) LO2 LO3 LO4 LO5
Lab 4: Image Aquisition and analysis Science laboratory (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 13 Mechanobiology: current status, major advances, and it's future. Exam preparation Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Lab 5: Theory of practical quiz (face to face in the lab) Science laboratory (0.5 hr) LO1 LO2 LO3 LO4 LO5 LO6

Attendance and class requirements

Lab activities - Face-to-face lab activities are planned students will develop a biomaterial platform to understand the cellular interaction and response to mechanical cues. 

Note: Attendance will be taken during the laboratory sessions

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 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.

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

  • LO1. Demonstrate effective oral communications skills, understand research questions, and critically analyze and interpret data
  • LO2. Obtain information using appropriate search strategies to gain in-depth knowledge and current advances in mechanobiology through peer-reviewed research resources
  • LO3. Understand the basic principles of mechanobiology and its importance in the field of biomedical engineering and regenerative medicine.
  • LO4. Apply and integrate engineering principles to biological processes. Utilizing biomedical devices to understand the principles of mechanobiology.
  • LO5. Understand the use of engineering technologies and analytical tools in the field of mechanobiology, applications and design of biomaterial platforms in the field of mechanobiology
  • LO6. Demonstrate the procedure for working safely, correctly, and effectively in a molecular biology laboratory. Learn and demonstrate a range of practical techniques in molecular biology, stem cell culture and differentiation, develop biomaterial platforms to understand the principles of mechanobiology. Demonstrate a collaborative experimental work, effective data acquisition, analysis, imaging, data recording and experimental report writing.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

Some changes to assessment weightage has been undertaken and Oral examination has not been considered this year. The final examination has been reintroduced since last semester.

Work, health and safety

Health and safety requirements must be met during the practical sessions and students will be briefed during the tutorial sessions.

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.