Outline

Overview

This unit of study introduces students to design strategies and techniques for developing alternative points of view and exploring multiple solutions iteratively. Through the analysis of real-world case studies students will develop an understanding for how to use design-thinking methods to tackle complex problems. The unit will discuss how design can be used as a method and as a way of thinking to drive innovation for products, services and processes. In the tutorial component, students will apply design strategies and techniques through small group exercises and develop a deeper understanding of them through the assessment items, which capture theory, analytical reflection and the practical application of methods.

Unit details and rules

Academic unit	Design Lab
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Joel Fredericks, joel.fredericks@sydney.edu.au

Type	Description	Weight	Due	Length
Tutorial quiz	Quiz 6 short quizzes at start of sessions (5% each)	30%	Multiple weeks	10 minutes each
Outcomes assessed:
Assignment	Research Report Research Report	30%	Week 07	20-25 pages
Outcomes assessed:
Assignment	Design Project Design Project	30%	Week 12	20-25 Pages
Outcomes assessed:
Assignment	Panel Discussion Panel Discussion	10%	Week 13	10mins
Outcomes assessed:
= group assignment ?

Assessment summary

Quiz: The quiz will test knowledge and understanding of topics related to the unit.
Analysis report: This report requires the analysis and reflection of design methods used to innovate, within a group’s chosen design brief. In groups, students will identify a problem scenario or context for the design project. Each team member will then collect information about the chosen context and users, using the techniques introduced in the lectures and tutorials.
Project work: This assessment involves the development of concept using ideation techniques from the unit, and a presentation of a new product, service and business using techniques from the unit. Students will present this development of this solution in a documentation report and also via a pitch.

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	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	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.

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	Lecture 1	Lecture (1 hr)
Week 01	Tutorial 1	Tutorial (2 hr)
Week 02	Lecture 2	Lecture (1 hr)
Week 02	Tutorial 2	Tutorial (2 hr)
Week 03	Lecture 3	Lecture (1 hr)
Week 03	Tutorial 3	Tutorial (2 hr)
Week 04	Lecture 4	Lecture (1 hr)
Week 04	Tutorial 4	Tutorial (2 hr)
Week 05	Lecture 5	Lecture (1 hr)
Week 05	Tutorial 5	Tutorial (2 hr)
Week 06	Lecture 6	Lecture (1 hr)
Week 06	Tutorial 6	Tutorial (2 hr)
Week 07	Lecture 7	Lecture (1 hr)
Week 07	Tutorial 7	Tutorial (2 hr)
Week 08	Lecture 8	Lecture (1 hr)
Week 08	Tutorial 8	Tutorial (2 hr)
Week 09	Lecture 9	Lecture (1 hr)
Week 09	Tutorial 9	Tutorial (2 hr)
Week 10	Lecture 10	Lecture (1 hr)
Week 10	Tutorial 10	Tutorial (2 hr)
Week 11	Lecture 11	Lecture (1 hr)
Week 11	Tutorial 11	Tutorial (2 hr)
Week 12	Lecture 12	Lecture (1 hr)
Week 12	Tutorial 12	Tutorial (2 hr)
Week 13	Presentation Week 13	Presentation (3 hr)

Attendance and class requirements

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

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. demonstrate an understanding of the theory and practice of design innovation
LO2. understand strategies and techniques for assessing and innovating products, services or processes
LO3. apply design-thinking methods to develop innovative solutions
LO4. communicate non-straightforward solutions to complex problems
LO5. demonstrate cross-disciplinary teamwork.

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.

This unit is adapted for delivery in blended mode. Considering the changed teaching mode and based on USS feedback from 2019, the unit will consider how to strike a better balance between amount of content and guidance provided to students in the lead-up to assessments.

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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

DECO2015: Design for Innovation

Semester 2, 2021 [Normal day] - 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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links