Outline

Overview

AMME9401 Industrial and Product Design is a multidisciplinary project-based unit where students use their existing engineering knowledge and analytical skills to design and prototype a product for human use using the AMME Makerspace/Fablab facilities. Students will use elements of human centred and industrial design theory and techniques to develop skills in industrial and product design and apply these skills in a design studio setting in the context of new/improved product development.

Unit details and rules

Academic unit	Aerospace, Mechanical and Mechatronic
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	AMME4401
Assumed knowledge ?	Engineering design and fundamental knowledge from previous years engineering study
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Rod Fiford, rod.fiford@sydney.edu.au
Lecturer(s)	Rod Fiford, rod.fiford@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Existing product critique report Written report critiquing existing product design.	20%	Week 04 Due date: 25 Aug 2024 at 23:59 Closing date: 25 Jul 2024	3000 word limit.
Outcomes assessed:
Assignment	Design Journal 1 See Canvas for details - journal task, text and sketches	5%	Week 06 Due date: 04 Sep 2024 at 10:00 Closing date: 18 Sep 2024	Two entries, 2 pages each.
Outcomes assessed:
Assignment	Major project preliminary report Written report	15%	Week 07 Due date: 13 Sep 2024 at 17:00 Closing date: 27 Sep 2024	Max 3k words not including appendices
Outcomes assessed:
Assignment	Human factors report Written report related to human factors and product design.	10%	Week 09 Due date: 29 Sep 2024 at 23:59 Closing date: 13 Oct 2024	2500 word limit.
Outcomes assessed:
Assignment	Design journal 2 See Canvas for details - journal task, text and sketches	5%	Week 10 Due date: 09 Oct 2024 at 10:00 Closing date: 23 Oct 2024	Two entries, 2 pages each.
Outcomes assessed:
Assignment	Major project - final report Written report for major design project	25%	Week 13 Due date: 01 Nov 2024 at 17:00 Closing date: 15 Nov 2024	Max 10k words not including appendices
Outcomes assessed:
Assignment	Prototype Virtual (CAD) & physical prototypes	10%	Week 13 Due date: 29 Oct 2024 at 10:00 Closing date: 29 Oct 2024	N/A
Outcomes assessed:
Presentation	Video and talk Video and presentation	10%	Week 13 Due date: 28 Oct 2024 at 23:59 Closing date: 28 Oct 2024	2min video, 8min talk + Q&A
Outcomes assessed:
= hurdle task ? = group assignment ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Note that Sparkplus will be used for self and peer assessment for all group work activities and individual student marks may be adjusted according to Sparkplus results.

All major project tasks are hurdle ‘must pass’ tasks and must be completed to a satisfactory standard.

Assessment criteria

Result name	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
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:

As per University policy. Note late penalty for video & talk is 100%.

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.

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
Ongoing	Student independent research & study - 4 hours per week	Individual study (52 hr)
Ongoing	Out of class group-work and collaboration	Independent study (30 hr)
Week 01	Introduction to unit. Review of engineering design cycle, problem definition, user and engineering requirements.	Lecture and tutorial (4 hr)
Week 02	Design thinking, creativity and Human Centred Design (HCD)	Lecture and tutorial (4 hr)
Week 03	Industrial & product design engineering	Lecture and tutorial (4 hr)
Week 04	Prototyping techniques	Lecture and tutorial (4 hr)
Week 05	Human factors engineering 1 (anthropometric factors)	Lecture and tutorial (4 hr)
Week 06	Human factors engineering 2 (cognitive factors)	Lecture and tutorial (4 hr)
Week 07	Safety in design	Lecture and tutorial (4 hr)
Week 08	Task analysis, human & product/machine interface design	Lecture and tutorial (4 hr)
Week 09	Testing and design verification	Lecture and tutorial (4 hr)
Week 10	Materials and manufacturing considerations.	Lecture and tutorial (4 hr)
Week 11	Industrial and product design case studies	Lecture and tutorial (4 hr)
Week 12	Major project work	Lecture and tutorial (4 hr)
Week 13	Presentations	Lecture and tutorial (4 hr)

Attendance and class requirements

Attendance and participation is required for all lectorials and studio/workshop sessions.

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.

Outcomes
Graduate qualities

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

LO1. Improve a variety of communication skills (oral, verbal, written, other)
LO2. Improve project management skills through complex design projects
LO3. Work effectively with others in a professional manner, considering ethical implications of decisions and actions
LO4. Develop interdisciplinary skills through complex, inclusive team design projects
LO5. To gain high level experience of the engineering design process/cycle by developing and prototyping solutions to complex industrial/product design problems
LO6. Application and further development of engineering knowledge and skills in complex open-ended design projects.
LO7. Develop and improve problem solving, ideation and inventiveness skills through complex open ended design projects
LO8. Ability to use existing mathematical and scientific methods and tools in applied design problems

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.

Final report moved to week 13, less sketches required.

Additional information

Work, health and safety

Use of AMME Makerspace requires adherance to all relevant WHS requirements.

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

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

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

AMME9401: Industrial and Product Design Engineering

Semester 2, 2024 [Normal day] - 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

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

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