Outline

Overview

To complete a substantial research project and successfully analyse a problem, devise appropriate experiments, analyse the results and produce a well-argued, in-depth thesis. The final research project should be completed and reported at a level which meets AQF level 9 outcomes and has original components as would be expected in MPhil.

Unit details and rules

Academic unit	Aerospace, Mechanical and Mechatronic
Credit points	12
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	AMME5020 OR AMME5021 OR AMME5022 OR BMET5020 OR BMET5021 OR BMET5022 OR BMET5222 OR BMET5223 OR BMET5010
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Rod Fiford, rod.fiford@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Progress report	10%	-	Previous semester
Outcomes assessed:
Assignment	Presentation/Seminar Video presentation	10%	Week 11 Due date: 09 Nov 2020 at 09:00	See Canvas
Outcomes assessed:
Dissertation	Thesis Dissertation thesis	80%	Week 12 Due date: 20 Nov 2020 at 23:59	See Canvas
Outcomes assessed:

Assessment summary

Proposal: Project proposal (Dissertation A). The proposal should be about two pages in length and written in consultation with supervisor. The proposal includes a time schedule for the various tasks involved in the project work. In particular, if any workshop time is required (for building experimental equipment etc.). The proposal must include a statement that the job has been discussed with the Workshop Supervisor and the proposed time slot (give dates) and resources allocated to the job must be specified. The proposal must be submitted to your supervisor by the date specified. The proposal does not carry any marks, but failure to submit a satisfactory proposal may result in discontinuation of the course for that semester.

Progress Report: Progress Report (Dissertation A). The report should include an introduction and literature survey in a form similar to that which will appear in the final thesis and a summary (not exceeding 1000 words) of the work carried out thus far. The project supervisor should be contacted when preparing this report for advice regarding content and structure. The progress report must be submitted directly to Canvas. The progress report will be marked out of 10 by your supervisor and the marks will contribute 10% of the final Capstone mark. Late submissions will result in a penalty of 0.5 marks (out of 10) per working day up to a maximum of the mark awarded.

Presentation/Seminar: Seminar (Dissertation B). This is an opportunity for students to present their work to other students and to staff. Evaluation will be based on the quality and coherence of the presentation, quality of subject matter and the handling of questions from the audience.

Thesis: Thesis (Dissertation B)submission is due online via Canvas, 11:59pm Friday week 12. Statement identifying the specific contributions of the student and others must be included. Thesis content requirements are set out in the School`s Marking Sheet, which provides the basis for thesis marking. Students should note that there are no marks for length and no specific length requirement. Typical postgraduate theses should not exceed 100 pages (approximately 40-45,000 words - excluding preliminary pages, references and appendices), but may be considerably less. Dissertation is about quality not quantity. Students should closely consult their supervisor as well as the Marking Sheet regarding the appropriate content, organisation and formatting.

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:

5% per day or part thereof, applied to both online and physical submissions. 100% late penalty for missed seminar sessions.

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 12 credit point unit, this equates to roughly 240-300 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.

Outcomes
Graduate qualities

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

LO1. formulate and plan a personal research project
LO2. demonstrate originality, ingenuity and initiative in dealing with critical research issues
LO3. demonstrate in-depth knowledge of a specialised area within the discipline
LO4. devise an appropriate research method
LO5. analyse raw data, draw appropriate conclusions and present those conclusions in context, with due consideration of methods and assumptions involved
LO6. document and report research work undertaken in a format appropriate for academic literature
LO7. deliver a research presentation that is clear, confident and engaging to an academic audience.

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.

N/A

Additional information

In order to enrol in a dissertation project, students must first secure an academic supervisor in an area that they are interested. Students must have acieved a WAM of 75% or greater in their prior year of study. The topic of your project must be determined in discussion with the supervisor.

Work, health and safety

Appropriate risk assessments and lab inductions as required, consult your supervisor for 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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

AMME5223: Dissertation B

Semester 2, 2020 [Supervision] - Camperdown/Darlington, Sydney

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

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect