Outline

Overview

The Health Technology Innovation Capstone Project provides an opportunity to utilise technology to model and characterise a complex health challenge, preparing the way for future innovation and/or delivery of a novel technology solution to address an already well-defined health challenge. It is not expected that the project outcomes of this unit will represent a significant contribution to new knowledge. The unit aims to provide students with the opportunity to carry out a defined piece of independent investigative research or design work in a setting and in a manner that fosters the development of skills in research or design. The student will be required to demonstrate the desired learning outcome of combining cross-disciplinary contexts of health and technology and management of these in this task. This learning requirement will provide a strong base for future research within the CPC network or work opportunities in the health industry upon completion of the MHTI program. Projects can be directly tied to a candidate's vocational objectives or interests. Some projects will be experimental in nature, others may involve computer-based simulation, feasibility studies or the design, construction and testing of a software system or equipment. Candidates with experience and expertise from outside the health sector may be invited to partner with relevant team projects. Access to a registry of project opportunities, resources, consultants, co-supervisors will be provided. Students will generally work individually (or have an individual contribution to group project outcomes) for the semester.

Unit details and rules

Academic unit	Computer Science
Credit points	6
Prerequisites ?	A candidate for the Master of Health Technology Innovation who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit
Corequisites ?	HTIN6011
Prohibitions ?	HTIN6030 or HTIN6032 or HTIN6020
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Jinman Kim, jinman.kim@sydney.edu.au

Type	Description	Weight	Due	Length
Online task	Assessment from 6011 The project unit continues from the previous semester	10%	Progressive	N/A
Outcomes assessed:
Assignment	Progress report #2 Written report	5%	Week 06 Due date: 31 Mar 2023 at 23:59	15 pages
Outcomes assessed:
Presentation	Presentation/seminar Oral presentation	10%	Week 13 Due date: 26 May 2023 at 23:59	15-20 minutes
Outcomes assessed:
Assignment	Final report Written report	75%	Week 13 Due date: 26 May 2023 at 23:59	50 pages
Outcomes assessed:

Assessment summary

Progress report 2. Week 6 (Semester 2). Report of the project progess to date, and adjustments to the proposal, if any.

Oral presentation. Week 13 (Semester 2). Each student will be required to participate in an individual oral and poster presentation. Poster should be printed on an A1 page and summarise the group`s research work, including the main conclusions.
Final report. Week 13 (Semester 2). The final report will be judged on the extent and quality of the student’s original work and particularly how critical, perceptive and constructive they have been in assessing their work and that of others.

Detailed information for each assessment can be found 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
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.

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:

Written assessment tasks incur a 5% per day (including weekend days) penalty for lateness.

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.

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Project work	Project (1 hr)
Week 02	Project work	Project (1 hr)
Week 03	Project work	Project (1 hr)
Week 04	Project work	Project (1 hr)
Week 05	Project work	Project (1 hr)
Week 06	Project Progress Report 2	Project (1 hr)
Week 07	Project work	Project (1 hr)
Week 08	Project work	Project (1 hr)
Week 09	Project work	Project (1 hr)
Week 10	Project work	Project (1 hr)
Week 11	Project work	Project (1 hr)
Week 12	Project Work	Project (1 hr)
Week 13	Project Presentation and Report Preparation	Project (1 hr)

Attendance and class requirements

You are to discuss and develop a meeting schedule with your supervisor.

You may also be asked to attend to few Project student discussion forums.

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

Reading materials will be dependent on your research project. You are encouraged to discuss this with your supervisor.

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. formulate and plan a health technology related capstone project concept based on research and development
LO2. critically analyse and evaluate data, draw appropriate conclusions and present those conclusions in the context of a health-related challenge, with due consideration of methods and assumptions involved
LO3. develop evaluation techniques to build an evidence-based understanding of the quality and efficacy of technology innovation implemented in health care settings
LO4. utilise interdisciplinary approaches to health care and apply new technologies to solve complex problems
LO5. evaluate and assess the risk and safety issues associated with the introduction of new technologies to address health care issues
LO6. document and report investigative research work undertaken, evaluating your original contribution, in a style appropriate for academic literature.

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.

No changes have been made since this unit was last offered. Only revised minor details.

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

HTIN6012: Health Technology Innovation Capstone B

Semester 1, 2023 [Supervision] - Remote

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect