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Unit outline_

PHSI3888: Physiology Interdisciplinary Project

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

Our ever-changing world requires knowledge that extends across multiple disciplines. The ability to identify and explore interdisciplinary links is a crucial skill for emerging professionals and researchers alike. This unit presents the opportunity to bring together the concepts and skills you have learnt in Physiology and apply them to a real-world problem. You will specifically work collaboratively with students from chemistry (CHEM3888) to identify novel targets for drug development to treat diseases such as cancer, metabolic, allergic and autoimmune diseases. In this unit, you will continue to understand and explore disciplinary knowledge, while also meeting and collaborating with chemistry students through project-based learning; identifying and solving problems, collecting and analyzing data and communicating your findings to a diverse audience. All of these skills are highly valued by employers. This unit will foster the ability to work in interdisciplinary teams, and this is essential for both professional and research pathways in the future.

Unit details and rules

Academic unit Department of Medical Sciences
Credit points 6
Prerequisites
? 
12 cp from (PHSI2X05 or PHSI2X06 or PHSI2X07 or MEDS2001 or PHSI2X08 or BMED2402 or BMED2403 or BMED2404 or BMED2406)
Corequisites
? 
None
Prohibitions
? 
PHSI3007 or PHSI3008 or PHSI3907 or PHSI3908
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Craig Campbell, c.campbell@sydney.edu.au
Lecturer(s) Andrew Hoy, andrew.hoy@sydney.edu.au
Robert Vandenberg, robert.vandenberg@sydney.edu.au
Steven Wise, steven.wise@sydney.edu.au
Belinda Yau, belinda.yau@sydney.edu.au
Claire Goldsbury, claire.goldsbury@sydney.edu.au
Craig Campbell, c.campbell@sydney.edu.au
Chang Lei, chang.lei@sydney.edu.au
Melkam Kebede, melkam.kebede@sydney.edu.au
Laura Piccio, laura.piccio@sydney.edu.au
Richard Payne, richard.payne@sydney.edu.au
Sumit Sahni, sumit.sahni@sydney.edu.au
John Bartholomew, john.bartholomew@sydney.edu.au
Khoon Lim, khoon.lim@sydney.edu.au
Martin Brown, martin.brown@sydney.edu.au
The census date for this unit availability is 2 September 2024
Type Description Weight Due Length
Presentation group assignment Pitch
Outline your group project
5% Week 05
Due date: 26 Aug 2024 at 10:00
5 minutes
Outcomes assessed: LO3 LO5 LO6 LO7 LO9
Small test quiz
multiple choice questions
15% Week 06
Due date: 03 Sep 2024 at 11:00
1 hour
Outcomes assessed: LO1 LO11 LO10
Assignment group assignment Reflection on meeting with mentor
Written reflection
5% Week 07
Due date: 13 Sep 2024 at 23:59
500 words
Outcomes assessed: LO2 LO3 LO6 LO7 LO9 LO10
Assignment peer assessment
Peer assessment
2.5% Week 08
Due date: 20 Aug 2024 at 23:59

Closing date: 20 Aug 2024
500 words
Outcomes assessed: LO5 LO6 LO8
Assignment self assessment
Reflection on your own ability to work in a team
2.5% Week 08
Due date: 20 Aug 2024 at 23:59

Closing date: 20 Aug 2024
500 words
Outcomes assessed: LO5 LO6 LO8
Assignment group assignment News and Views
Discussion about the findings of a scientific article.
15% Week 09
Due date: 27 Sep 2024 at 23:59
1000 words
Outcomes assessed: LO3 LO5 LO7 LO9
Assignment group assignment Final report
Grant application
30% Week 12
Due date: 23 Oct 2024 at 23:59
3000 words
Outcomes assessed: LO1 LO11 LO10 LO9 LO7 LO6 LO5 LO4 LO3 LO2
Presentation group assignment Oral presentation
Presentation of the project to a lay audience
15% Week 13
Due date: 28 Oct 2024 at 09:00
5 minutes + 5 minutes of questions
Outcomes assessed: LO2 LO3 LO6 LO7 LO9
Assignment peer assessment
peer assessment
2.5% Week 13
Due date: 01 Nov 2024 at 23:59

Closing date: 01 Nov 2024
500 words
Outcomes assessed: LO5 LO8 LO6
Assignment self assessment
Reflection on your own ability to work in a team
2.5% Week 13
Due date: 01 Nov 2024 at 23:59

Closing date: 01 Nov 2024
500 words
Outcomes assessed: LO5 LO6 LO8
Presentation group assignment Participation
participation
0% Weekly tutorial participation
Outcomes assessed: LO5 LO6 LO8
Small continuous assessment group assignment Minutes
Weekly submission of meeting minutes
5% Weekly 1000 words
Outcomes assessed: LO5 LO11 LO9 LO6
group assignment = group assignment ?

Assessment summary

The Role of Groups

You will be allocated to a group to work together for your Capstone Project. You are expected to meet weekly with your group to progress your Capstone Project. These meetings may be on Zoom if you cannot meet face-2-face. Activities of the Group will be led by a Group Leader who will be responsible for organising and running group meetings, keeping and submitting meeting minutes and oversee the Group’s progress during the week. The Group Leadership will rotate around the group from week to week to give you all an opportunity to engage with this important role.

Final Report and Presentation

Your Capstone project will involve a collaborative activity with CHEM3888 students in which you will propose a drug therapy for a disease. Your final report for this project will be in the form of a funding application in which you will justify the experimental procedures that you would undertake to assess the drug that you have proposed.

This will be accompanied by a short presentation of your project.

There will also be an opportunity to present a proposal of your project (Week 5) and get feedback.

Peer-and-Self Assessment

Each student will be expected to complete an assessment of their own and their peers’ contributions to group activities.

Disciplinary Content Assessment

The lectures will be assessed by a multiple-choice quiz.

News-and-Views style short summary articles of a paper are increasingly common in the academic literature. You will be creating an article in this style to summarise a paper that will be provided.

 

More detail about these assessments will be available 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

At HD level, a student demonstrates an aptitude for the subject and a well-developed understanding of the unit material. A ‘High Distinction’ reflects exceptional achievement and is awarded to students who demonstrate the ability to apply their subject knowledge and understanding to produce original solutions for novel or highly complex problems and/or comprehensive critical discussions of theoretical concepts.

Distinction

75 - 84

At DI level, a student demonstrates an aptitude for the subject and a well-developed understanding of the units material. A ‘Distinction’ reflects excellent achievement and is awarded to a student who demonstrates an ability to apply their subject knowledge and understanding of the subject to produce good solutions for challenging problems and/or a reasonably well-developed critical analysis of theoretical concepts.

Credit

65 - 74

At CR level, a student demonstrates a good command and knowledge of the unit material. A ‘Credit’ reflects solid achievement and is awarded to a student who has a broad general understanding of the units material and can solve routine problems and/ or identify and superficially discuss theoretical concepts.

Pass

50 - 64

At PS level, a student demonstrates proficiency in the material. A ‘Pass’ reflects satisfactory adequately referencing the original source of the work.

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.

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:

All assignments must be submitted by the due date and quizzes and exams attended when they are scheduled. Students are expected to manage their time and to prioritise tasks to meet deadlines. Assessment items submitted after the due date without an approved extension using a special consideration or special arrangement form or request will incur penalties. All due dates for assessments refer to Sydney time. Failure to meet assessment deadlines will incur mark deductions of 5% of the maximum awardable mark available for every day past the due date (for electronic submissions, days late includes Saturdays, Sundays and public holidays). These deductions will continue for 10 calendar days, until the solutions for the assignment are released, or marked assignments are returned to other students. At that point the mark awarded will be zero. For example, on an assignment given a mark of 70/100, the penalty would be 5 marks if submitted up to 24 hours late, resulting in a final mark of 65/100. If the assignment is submitted 6 days late, the penalty would be 30 marks and the final mark would be 40/100. If the assignment is more than 10 days late, submitted after the solutions for the assignment are released, or marked assignments are returned to other students, the final mark will be 0/100.

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 Inflammation and disease models Lecture (1 hr) LO10
Cancer metabolism Lecture (1 hr) LO10
Week 02 Groupwork and collective decision-making Workshop (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Diabetes management Lecture (1 hr) LO10
Breast Cancer Lecture (1 hr) LO10
Week 03 Cultural competency Workshop (2 hr) LO1 LO2 LO3 LO5 LO7 LO8 LO10
Nanomaterials Lecture (1 hr) LO3 LO7 LO10
Cardiovascular diseases and devices Lecture (1 hr) LO10
Week 04 Alzheimers' Disease Lecture (1 hr) LO10
Pancreatic cancer Lecture (1 hr) LO10
Multiple sclerosis Lecture (1 hr) LO10
Week 05 Drug development Lecture (2 hr) LO1 LO11
Week 07 Scientific writing Workshop (2 hr) LO1 LO2 LO3 LO4 LO7 LO8 LO10
Week 10 Scientific communication Workshop (2 hr) LO1 LO2 LO3 LO4 LO5 LO7 LO8 LO10 LO11
Week 12 Project oral presentation Presentation (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Weekly Project framework discussion Workshop (13 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Project consultations Workshop (26 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11

Attendance and class requirements

Monday morning project meetings are compulsory

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.

Required readings

All readings for this unit can be found on Canvas.

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. Apply disciplinary knowledge to solve problems in an interdisciplinary context.
  • LO2. Create an investigation strategy, explore solutions, discuss approaches and predict outcomes.
  • LO3. Find, define and delimit authentic problems in order to address them.
  • LO4. Analyse data using modern information technology and digital skills.
  • LO5. Demonstrate integrity, confidence, personal resilience and the capacity to manage challenges, both individually and in teams.
  • LO6. Collaborate with diverse groups and across cultural and disciplinary boundaries to develop solution(s) to the project problems.
  • LO7. Communicate project outcomes effectively to a broad audience.
  • LO8. Accept, act on and deliver constructive criticism.
  • LO9. Collaboratively develop and adhere to appropriate rules for group conduct of collaborations and assignments.
  • LO10. Demonstrate an understanding of the limitations of experimental measurements.
  • LO11. Demonstrate effective time management to achieve learning outcomes.

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
LO1         
LO2         
LO3         
LO4         
LO5         
LO6         
LO7         
LO8         
LO9         
LO10         
LO11         

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

We have added weight to the initial pitch presentation in response to feedback, and introduced a reflection on meeting with a topical expert.

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.