MDMP5410: Intensive October, 2022

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Units MDMP5410 Intensive October 2022 [Normal day]

Unit outline_

MDMP5410: MD Project 4

Intensive October, 2022 [Normal day] - Camperdown/Darlington, Sydney

Overview

Students will have undertaken an approved, supervised research project culminating in the submission of an MD Final Report in the form of a scientific report. The MD Final Report will be examined and graded. Students will be required to attend the MD Research Symposium during Conference Week in semester 2, and encouraged to present their work in the form of a poster or, by invitation, an oral presentation. Students must have achieved a pass standard in their MD Final Report in order to undertake the PRINT term and to graduate. Students whose MD Final Reports require remediation will need to revise and resubmit the report prior to Term I. Students whose MD Final Report is not satisfactory after remediation or whose Final Report is not remediable will be required to complete an 8 week project in Term J. Students cannot progress to PRINT unless they receive a pass grade in the Term J project. Students who pass the Term J project will undertake a delayed PRINT (P3).Students who are required to repeat Stage 3, Year 4 and who have achieved a pass grade in their MD Final Report during their initial attempt at Year 4 will be required to reenrol in this unit of study and undertake a modified research task. If the modified research task is not of a pass standard, the student will be required to satisfactorily complete an 8 week project in Term J, and will undertake a delayed PRINT term.

Unit details and rules

Academic unit	Northern Clinical School
Credit points	4
Prerequisites ?	MDMP5111 and MDMP5112 and MDMP5113 and MDMP5114 and MDMP5122 and MDMP5123 and MDMP5124 and MDMP5125 and MDMP5126 and MDMP5211 and MDMP5212 and MDMP5213 and MDMP5214 and MDMP5221 and MDMP5222 and MDMP5223 and MDMP5224 and MDMP5225 and MDMP5310 and MDMP5320 and MDMP5341 and MDMP5316 and MDMP5317 and MDMP5318 and MDMP5319
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Joanne Hart, joanne.hart@sydney.edu.au

Type	Description	Weight	Due	Length
Participation	MD Research Symposium Attendance at the MD Research Symposium	0%	- Due date: 14 Sep 2022 at 23:00	N/A
Outcomes assessed:
Assignment	MD Final Report - Research Essay MD Final Report - Research Essay	0%	- Due date: 01 May 2022 at 23:59	N/A
Outcomes assessed:
Assignment	MD Final Report – Term J Capstone Project MD Final Report – Term J Capstone Project	0%	- Due date: 09 Dec 2022 at 17:00	N/A
Outcomes assessed:
Assignment	MD Project final report MD project final report - remediation	0%	Please select a valid week from the list below Due date: 26 Jun 2022 at 23:59	n/a
Outcomes assessed:
= hurdle task ?

Assessment summary

Please see the unit’s Canvas site for full assessment information

Assessment criteria

Grades will be allocated for this unit of study using the University of Sydney percentage cut-scores as defined in Schedule 1 of the Coursework Policy 2014.

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.

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	Learning outcomes

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 4 credit point unit, this equates to roughly 80-100 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. Prepare a scientific report that draws appropriate conclusions from the findings, recognises the strengths and limitations of the design and methods of the project and considers the findings in light of current knowledge in the area
LO2. Consider and discuss the research projects submitted by their peers at the annual Conference week MD Research Symposium

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
	Australian Medical Council's Graduate Outcome Statements - 1.4. Access, critically appraise, interpret and apply evidence from the medical and scientific literature 1.5. Apply knowledge of common scientific methods to formulate relevant research questionsand select applicable study designs
	Australian Medical Council's Graduate Outcome Statements - 1.4. Access, critically appraise, interpret and apply evidence from the medical and scientific literature 1.5. Apply knowledge of common scientific methods to formulate relevant research questionsand select applicable study designs

Responding to student feedback

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

Please refer to the unit’s Canvas site for full unit and assessment information.

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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Disclaimer

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