Unit outline_

DESN9201: Design Innovation Catalyst

Semester 1, 2025 [Normal day] - Camperdown/Darlington, Sydney

This is the culminating studio of the Master of Design (Strategic Design or Design Innovation) that provides students with a capstone experience. The aim of this studio is to draw together and synthesise the learning that has taken place during the whole degree. Students develop a design project based on an industry or community-focused brief. Through a multi-staged approach, students will apply and consolidate their knowledge about conceiving, developing and implementing strategic or innovation design projects. This will include developing and utilising collaborative methods to share knowledge, design concepts and develop implementation plans. Students will work in small teams or individually to produce a design invention that responds to the strategic or innovation challenge. The submitted design work will be high quality, suitable for professional presentation and portfolio.

Unit details and rules

Academic unit Design Lab
Credit points 12
Prerequisites
? 
IDEA9106 and 18 credit points from (DESN9003 and DESN9100) or (DESN9004 and DESN9200)
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

DESN9001 or DESN9002

Available to study abroad and exchange students

No

Teaching staff

Coordinator Mariana Zafeirakopoulos, mariana.zafeirakopoulos@sydney.edu.au
Lecturer(s) Mariana Zafeirakopoulos, mariana.zafeirakopoulos@sydney.edu.au
The census date for this unit availability is 31 March 2025
Type Description Weight Due Length
Small continuous assessment Restricted AI Assessment 1: Work-In-Progress Update
In-class Work-in-progress verbal update
10% Multiple weeks
Closing date: 13 May 2025
Approximately 5 min
Outcomes assessed: LO1 LO2 LO5
Small continuous assessment Assessment 3: Reflective Practice
Reflective practice on team collaboration and design project
20% Multiple weeks
Closing date: 13 May 2025
2 x 15 minute dialogues
Outcomes assessed: LO1 LO2 LO3 LO6
Attendance hurdle task AI Allowed Attendance
Students are required to meet minimum attendance of 90%. Students who do not meet this threshold, who have approved special consideration, may be offered the opportunity to sit an alternative assessment to qualify to pass this unit.
0% Multiple weeks Weekly
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Assignment AI Allowed Assignment 2: Project proposal and budget
Produce a project proposal including methodology, project plan and budget
20% Week 05
Due date: 24 Mar 2025 at 23:59
Approximately 10 pages
Outcomes assessed: LO1 LO2
Assignment AI Allowed Assignment 4: Individual Portfolio
Web-based portfolio showcasing 4 of your design projects
0% Week 08
Due date: 15 Apr 2025 at 23:59
Up to 10 pages of content
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Assignment AI Allowed Assignment 5: Final Work
A5A: Design Poster (30%) A5B: Design Artefact (20%)
50% Week 13
Due date: 25 May 2025 at 23:59
Approx. 2000 words / images
Outcomes assessed: LO1 LO2 LO3 LO4 LO6
hurdle task = hurdle task ?
AI allowed = AI allowed ?
restricted AI = restricted AI ?

Assessment summary

Assessment 1 is the in-class individual assessment of your design team’s work-in-progress updates throughout semester. Although this is marked individually it must be completed as a team. 

Assessment 2 is your individual project proposal and budget response to the project for the client. (Week 4)

Assessment 3 is your individual reflective practice on your design team's performance and progress. Although this is marked individually, it must be completed as a team.

Assessment 4 is a non-assessed submission of your design portfolio which will be peer-reviewed in class. (week 8)

Assessment 5 is your group assessment. The final work is a poster and exhibition artefact (week 13)

Please note that attendance is also listed as a mandatory and non-weighted assessment task.

Assessment criteria

 

Result name

Mark range

Description

High Distinction

85 - 100

Work of outstanding quality, demonstrating mastery of the learning outcomes assessed. The work shows significant innovation, experimentation, critical analysis, synthesis, insight, creativity, and/or exceptional skill.

Distinction

75 - 84

Work of excellent quality, demonstrating a sound grasp of the learning outcomes assessed. The work shows innovation, experimentation, critical analysis, synthesis, insight, creativity, and/or superior skill.

Credit

65 - 74

 

Work of good quality, demonstrating more than satisfactory achievement of the learning outcomes assessed, or work of excellent quality for a majority of the learning outcomes assessed.

Pass

50 - 64

Work demonstrating satisfactory achievement of the learning outcomes assessed.

Fail

0 - 49

Work that does not demonstrate satisfactory achievement of one or more of the learning outcomes assessed.

 

For more information see guide to grades.

Use of generative artificial intelligence (AI) and automated writing tools

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator. 

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions. 

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit. 

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply. 

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site

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:

Submitted assessments received late attract a penalty of 5% of the maximum mark possible per day late.

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.

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

WK Topic Learning activity Learning outcomes
Week 01 Designing our context Lecture (1 hr) LO1
Collaborating in complex design contexts Tutorial (1 hr) LO1 LO6
knowing our context Practical (3 hr) LO1 LO4 LO6
Week 02 Mapping contexts Lecture (1 hr) LO1 LO2 LO4
Contexts and Challenges Tutorial (1 hr) LO1 LO2 LO4
Context Mapping and Positionality Practical (3 hr) LO1 LO2 LO6
Week 03 Winning work Lecture (1 hr) LO1 LO3 LO5
Planning and Designing Research Tutorial (1 hr) LO1 LO3 LO5
Planning action-oriented design research Practical (3 hr) LO1 LO4 LO5 LO6
Week 04 Exploring thematic contexts Lecture (1 hr) LO1 LO5 LO6
Students visit physical place and undertake observations. They take field notes, photos and a diary of what they observe Field trip (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Thematic context exploration through observation or site visits Practical (3 hr) LO1 LO2 LO3 LO6
Week 05 Exploring design outcomes: what does good look like Lecture (1 hr) LO1 LO2 LO3 LO5
Problem Framing Tutorial (1 hr) LO1 LO2 LO3 LO5
Studio Practice Practical (3 hr) LO1 LO2 LO4 LO6
Week 06 Facilitating voices and spaces Lecture (1 hr) LO1 LO2 LO3 LO4 LO5
Facilitating voices and spaces Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5
Participatory design processes Practical (3 hr) LO1 LO2 LO3 LO4 LO6
Week 07 Coevolution of problem and solution Lecture (1 hr) LO1 LO2 LO3 LO4 LO5
Exploring design prototypes, interventions and solution Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5
Co-evolution of problem and solution Practical (3 hr) LO1 LO2 LO3 LO4 LO6
Week 08 Professional practice: portfolio development Lecture (1 hr) LO1 LO4 LO5
Developing a professional practice: portfolio development Tutorial (1 hr) LO1 LO4 LO5
Giving and receiving feedback Practical (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 Exploring possibilities, ideas and interventions Lecture (1 hr) LO1 LO2 LO4
Developing effective client reports Tutorial (1 hr) LO1 LO2 LO4
Report writing tips and tools Practical (3 hr) LO1 LO2 LO4 LO6
Week 10 Design Intensive Practical (4 hr) LO1 LO2 LO3 LO4
Week 11 Open working session in-class feedback session Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5
Open working session Practical (3 hr) LO1 LO2 LO4 LO5
Week 12 Exhibition design and professional presentations Lecture (1 hr) LO1 LO4 LO5
Presentation skills Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5
Exhibition walk through Practical (3 hr) LO1 LO5 LO6
Week 13 Exhibition and presentations Presentation (4 hr) LO1 LO2 LO3 LO5

Attendance and class requirements

Please refer to the Resolutions of the University School: http://sydney.edu.au/handbooks/architecture/rules/faculty_resolutions.shtml

Tutorial and Studio attendance will be monitored. Failure to meet the minimum policy attendance rule may translate to a deduction of 10% of the final grade for each day missed. If a student is running late or unable to attend class, they should contact the Program Director directly. Proactive engagement from students regarding attendance will be viewed favourably by the program director and may not incur penalties regarding your overall grade.

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 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. Formulate, plan and execute an individual/group design project in response to a design brief
  • LO2. Choose appropriate methods as part of a human-centred design process to suit the problem space
  • LO3. Analyse data from multiple sources to understand the problem space and idea, iterate and improve potential design interventions or solutions.
  • LO4. Document and report research-led design work
  • LO5. Deliver evidence-based design presentations that are clear, confident and engaging to an external audience.
  • LO6. Critically analyse and reflect upon self and peer practices to identify and improve personal accountability in relation to the ethics and values of the discipline and profession

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

Updated to reflect USS feedback including longer lunch-break, more briefs, a brief focused on prototyping

Site visit guidelines

Students are encouraged to conduct observations and site visits where possible. Some may be arranged within the unit, however, where this is not the case, students are encouraged to pursue their own primary research and engage in site visits. Studio time out outside class timetabled hours is the most appropriate time to conduct site visits.

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.