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Unit outline_

MRTY5139: Medical Imaging Science Capstone

Semester 2, 2024 [Online] - Camperdown/Darlington, Sydney

The aim of this unit of study is for students to develop research skills for creating evidence for best practice within the discipline of Medical Imaging Science (MIS). The capstone is also an opportunity to apply the learning from core and elective UoS within the Master of Medical Imaging Science to propose and design a research project to address a problem faced in everyday clinical practice. The selected area of investigation will ordinarily be within the student's area of specialisation in the MIS course. The topic should arouse intellectual curiosity and be achievable within the timeframe of one semester. Developed research skills will include demonstrating the capacity to identify a question based on published evidence, proposing appropriate research methodology to investigate the problem, and recognizing ethical issues. Students will work independently to develop a literature review and an ethics application incorporating a proposal for a qualitative or quantitative research investigation. If the capstone is completed as part of an MIS research specialisation then the output will be a manuscript suitable for publication in a peer reviewed journal based on experimental work performed as part of previous MIS electives.

Unit details and rules

Academic unit Clinical Imaging
Credit points 6
Prerequisites
? 
60cp from the Master of Medical Imaging Science including (MRTY5131 and MRTY5133)
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Laura Di Michele, laura.dimichele@sydney.edu.au
Lecturer(s) Roger Bourne, roger.bourne@sydney.edu.au
The census date for this unit availability is 2 September 2024
Type Description Weight Due Length
Assignment Proposed implementation strategy based on an understanding of implementation science principles, methods, and published research
Written report
30% STUVAC
Due date: 08 Nov 2024 at 23:59
1000 words
Outcomes assessed: LO1 LO2 LO3 LO4
Assignment Proposal outline
Written report
20% Week 04
Due date: 23 Aug 2024 at 23:59
500 words
Outcomes assessed: LO1
Assignment Presentation of evidence base for the proposed practice improvement
Written report
30% Week 08
Due date: 20 Sep 2024 at 23:59
1000 words
Outcomes assessed: LO1 LO2
Small continuous assessment Participation
Participation in online activities and group discussions
20% Weekly Throughout semester
Outcomes assessed: LO1 LO4 LO3 LO2

Assessment summary

Small continuous assessment - Students are required to actively participate in online discussion with their peers across a range of topics.

Proposal outline - Students utilise their professional experience to identify an opportunity for practice impeovement within their clinical setting. 

Presentation of evidence base for the proposed practice improvement - Students must collect, critically analyse and present relevant literature for their proposed practice impeovement.

Proposed implementation strategy based on an understanding of implementation science principles, methods, and published research - Students utilise the consolidated framework for implementation research to outline a plan for the implementation of their practice improvement in their individual clinical setting. 

 

 

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 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.

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

Attendance and class requirements

  • Attendance: This unit is offered on-line and no on-campus attendance is required.
  • Required materials: Online/distance education units of study have the following computer requirements: 1. desktop computer or laptop (not tablet); 2. webcam and microphone (built-in or external); 3. connection to network with sufficient internet speed: at least 3Mbps download speed and 3Mbps upload.

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 accessed on the Library eReserve link available on Canvas.

  • Polgar S, Thomas S. A., Introduction to Research in the Health Sciences (6th ed.), (2013) Churchill Livingston/Elsevier, Edinburgh. (eBook, available on-line via the University library).
  • Bell, J., Doing your research project: A guide for first-time researchers in education, health and social science (5th ed.). (2010) Maidenhead: McGraw-Hill Open University Press. (eBook, available on-line via the University library).

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. Identify a problem in medical imaging science practice where there may be opportunity for evidence-based practice improvement. The problem should be related to the student’s area of specialisation in the MIS course.
  • LO2. Articulate a case for practice improvement in a specific application of medical imaging based on a critical analysis of published research.
  • LO3. Propose an implementation strategy based on an understanding of implementation science principles, methods, and published research.
  • LO4. Based on the investigations above, identify and articulate gaps in research and implementation science that require future development to advance healthcare practice.

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         

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

Online modules have been developed and refined based on the feedback from USS.

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.