Outline

Overview

This unit of study is a core subject for the pass pathway of the Bachelor of Applied Science (Diagnostic Radiography. It is designed to enhance the ability of students to critically appraise information on advances in the field of medical imaging science from a variety of sources. Students will become familiar with research methodologies commonly used in the field and understand how new imaging techniques are translated into clinical practice. Studnets will explore a specific area of medical imaging science by undertaking a literature review and applying clinical reasoning and reflection to assess the implications for practice. Additionally, students will develop skills in academic and professional writing, understand the peer review process, and acquire knowledge of key ethical considerations in research.

Unit details and rules

Academic unit	Clinical Imaging
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	MRTY3122
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Amir Tavakoli Taba, amir.tavakoli@sydney.edu.au

Assessment

The census date for this unit availability is 3 October 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written exam ?	Final Exam MCQ	40%	Formal exam period	1 hour	AI prohibited
Outcomes assessed:
In-person written or creative task	In-class activity submission In-class activity submission	15%	Multiple weeks	-	AI prohibited
Outcomes assessed:
Written work	Written Assignment Written Assignment	45%	Week 13	-	AI allowed
Outcomes assessed:

Assessment summary

A1: Written assignment:

Written assignment on applying evidence-based practices to healthcare challenges.

A2: Final exam:

MCQ covering all topics, including lectures and tutorial activities.

A3: In-class activity submission:

Three small submissions based on class/tutorial activities in weeks 7, 10 and 12

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.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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:

As per the university policy.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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 06	Introduction to the unit of study	Lecture (2 hr)
Week 07	Research evidence and literature reviews	Lecture (2 hr)
Week 07	Tutorial 1	Tutorial (2 hr)
Week 08	Research methods	Lecture (2 hr)
Week 09	Case study 1	Lecture (2 hr)
Week 10	Case study 2	Lecture (2 hr)
Week 10	Tutorial 2	Tutorial (2 hr)
Week 11	Peer review and educational resources for MRS	Lecture (2 hr)
Week 12	Research ethics	Lecture (2 hr)
Week 12	Tutorial 3	Tutorial (2 hr)
Week 13	Implementation science	Lecture (2 hr)

Attendance and class requirements

Attendance: This is a hybrid unit with both in-person and online activities. Attendance at in-person lectures and tutorials is required. Tutorial sessions are designed to integrate with and complement the lectures, so the full learning experience comes from the combination of these activities.

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.

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

LO1. select and evaluate a range of evidence and identify clinical challenges in the practice of medical imaging
LO2. determine the relevance of sources, and provide justification for your choices
LO3. make judgments on the efficiency of sampling techniques and methodologies
LO4. determine the relevance of results and apply checks for rigor of analysis
LO5. undertake reflection regarding your on-going professional needs to incorporate the latest research in medical imaging into clinical practice
LO6. demonstrate a sound knowledge of key ethical principles in the design, collection, and dissemination of research and quality improvement projects
LO7. use a variety of tools, including relevant databases, to search for and critically evaluate the research literature on a topic of relevance to professional radiographic 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
Learning outcomes

Alignment with Competency standards

Outcomes	Competency standards
	Professional capabilities for medical radiation practice - Domain 4. Evidence-informed practitioner Domain 4.1. Resolve challenges through application of critical thinking and reflective practice. Domain 4.1.a. Identify the challenge or question and the information that is needed to respond. Domain 4.1.b. Find, critically appraise, interpret and apply best available research evidence to inform clinical reasoning and professional decision-making. Domain 4.1.c. Provide evidence-informed patient/client-centred care by carefully considering the purpose of the proposed examination/treatment, reviewing existing protocols and methods, reflecting on clinical challenges or experiences and integrating knowledge and findings into practice. Domain 4.1.d. Recognise opportunities to contribute to the development of new knowledge through research and enquiry.
	Professional capabilities for medical radiation practice - Domain 4. Evidence-informed practitioner Domain 4.1. Resolve challenges through application of critical thinking and reflective practice. Domain 4.1.a. Identify the challenge or question and the information that is needed to respond. Domain 4.1.b. Find, critically appraise, interpret and apply best available research evidence to inform clinical reasoning and professional decision-making. Domain 4.1.c. Provide evidence-informed patient/client-centred care by carefully considering the purpose of the proposed examination/treatment, reviewing existing protocols and methods, reflecting on clinical challenges or experiences and integrating knowledge and findings into practice. Domain 4.1.d. Recognise opportunities to contribute to the development of new knowledge through research and enquiry.
	Professional capabilities for medical radiation practice - Domain 4. Evidence-informed practitioner Domain 4.1.b. Find, critically appraise, interpret and apply best available research evidence to inform clinical reasoning and professional decision-making. Domain 4.1.c. Provide evidence-informed patient/client-centred care by carefully considering the purpose of the proposed examination/treatment, reviewing existing protocols and methods, reflecting on clinical challenges or experiences and integrating knowledge and findings into practice. Domain 4.1.d. Recognise opportunities to contribute to the development of new knowledge through research and enquiry.
	Professional capabilities for medical radiation practice - Domain 4. Evidence-informed practitioner Domain 4.1. Resolve challenges through application of critical thinking and reflective practice. Domain 4.1.b. Find, critically appraise, interpret and apply best available research evidence to inform clinical reasoning and professional decision-making. Domain 4.1.c. Provide evidence-informed patient/client-centred care by carefully considering the purpose of the proposed examination/treatment, reviewing existing protocols and methods, reflecting on clinical challenges or experiences and integrating knowledge and findings into practice. Domain 4.1.d. Recognise opportunities to contribute to the development of new knowledge through research and enquiry.
	Professional capabilities for medical radiation practice - Domain 3.2.d. Make recommendations to other members of the healthcare team about the suitability and application of the proposed medical radiation examination/treatment, when appropriate. Domain 4. Evidence-informed practitioner Domain 4.1. Resolve challenges through application of critical thinking and reflective practice. Domain 4.1.b. Find, critically appraise, interpret and apply best available research evidence to inform clinical reasoning and professional decision-making. Domain 4.1.c. Provide evidence-informed patient/client-centred care by carefully considering the purpose of the proposed examination/treatment, reviewing existing protocols and methods, reflecting on clinical challenges or experiences and integrating knowledge and findings into practice. Domain 4.1.d. Recognise opportunities to contribute to the development of new knowledge through research and enquiry. Domain 4.2.b. Critically reflect on own strengths and limitations to identify learning needed to improve and adapt professional practice. Domain 4.2.d. Plan and implement steps to address professional learning and development needs.
	Professional capabilities for medical radiation practice - Domain 2. Professional and ethical practitioner Domain 2.1.g. Practice the basic principles underpinning bio-ethics in medical radiation practice and recognise and respond appropriately to ethical issues encountered in practice. Domain 4.1.b. Find, critically appraise, interpret and apply best available research evidence to inform clinical reasoning and professional decision-making. Domain 4.1.d. Recognise opportunities to contribute to the development of new knowledge through research and enquiry.
	Professional capabilities for medical radiation practice - Domain 4. Evidence-informed practitioner Domain 4.1.b. Find, critically appraise, interpret and apply best available research evidence to inform clinical reasoning and professional decision-making. Domain 4.1.c. Provide evidence-informed patient/client-centred care by carefully considering the purpose of the proposed examination/treatment, reviewing existing protocols and methods, reflecting on clinical challenges or experiences and integrating knowledge and findings into practice. Domain 4.1.d. Recognise opportunities to contribute to the development of new knowledge through research and enquiry.

Responding to student feedback

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

Based on student feedback in previous years, the weight of the written assignment and exam has been reduced, and small continuous assessments have been added for class activities. Additionally, the focus of the written assignment has shifted from a simple literature review to applying evidence-based practices to healthcare challenges.

Additional information

Student Administration Manual on the Faculty of Health Sciences

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)

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

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

MRTY4043: Professional Capstone

Semester 2b, 2025 [Block mode] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

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

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links