Outline

Overview

This unit of study provides an overview of a human-centred approach to the design of interactive technologies and environments. It introduces students to design thinking and how it can be productively applied to different design situations. The unit covers theoretical concepts, methods and tools used in human-centred design, including user research, ideation, prototyping and user evaluation. It provides students with the principles, processes and tools that are used in commercial design projects. Students learn to build empathy with users, identify the problem space, develop design concepts and persuasively communicate design proposals with an emphasis on the user experience through visual storytelling.

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
Online task	Independent Learning Tasks & Reflective Report Post-tutorial tasks, report	30%	Multiple weeks Due date: 07 Jun 2021 at 22:00	8x weekly tasks, and 1000 word report
Outcomes assessed:
Assignment	User-centred research Report	30%	Week 07 Due date: 19 Apr 2021 at 09:00	25 pages
Outcomes assessed:
Creative assessment / demonstration	Design proposal presentation Verbal presentation	10%	Week 13 Due date: 31 May 2021 at 09:00	7 minutes
Outcomes assessed:
Assignment	Design proposal Visual report	30%	Week 13 Due date: 31 May 2021 at 09:00	25 pages
Outcomes assessed:
= group assignment ?

Assessment summary

A1: Independent learning tasks – Students carry out weekly independent learning tasks which are uploaded for formative feedback, culminating in a reflective report.

A2: User-centred research – Students apply user research methods in response to a design brief and carry out data gathering, analysis and synthesis.

A3: Design proposal – Each group of students follows a user-centred design process to iteratively ideate, prototype and evaluate a design proposal that meets the design brief, and delivers a group presentation.

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.

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 for submitted work 10% per day for presentations

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	Introduction to design	Lecture (1 hr)
Week 01	Introduction to design	Tutorial (2 hr)
Week 02	Visual thinking	Lecture (1 hr)
Week 02	Visual thinking	Tutorial (2 hr)
Week 03	Design as a process	Lecture (1 hr)
Week 03	Design as a process	Tutorial (2 hr)
Week 04	User research part 1	Lecture (1 hr)
Week 04	User research part 1	Tutorial (2 hr)
Week 05	User research part 2	Lecture (1 hr)
Week 05	User research part 2	Tutorial (2 hr)
Week 06	Data synthesis	Lecture (1 hr)
Week 06	Data synthesis	Tutorial (2 hr)
Week 07	Generating ideas part 1	Lecture (1 hr)
Week 07	Generating ideas part 1	Tutorial (2 hr)
Week 08	Generating ideas part 2	Lecture (1 hr)
Week 08	Generating ideas part 2	Tutorial (2 hr)
Week 09	Prototyping	Lecture (1 hr)
Week 09	Prototyping	Tutorial (2 hr)
Week 10	Design evaluation	Lecture (1 hr)
Week 10	Design evaluation	Tutorial (2 hr)
Week 11	TBC	Lecture (1 hr)
Week 11	TBC	Tutorial (2 hr)
Week 12	Future of design	Lecture (1 hr)
Week 12	Future of design	Tutorial (2 hr)
Week 13	Assessment 3: Student presentations	Tutorial (2 hr)

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. engage in contextual inquiry to identify the need for a design
LO2. show competence in design ideation
LO3. communicate ideas and concepts visually
LO4. apply knowledge of the psychology of user experience to designing interactive systems
LO5. describe and explain activities associated with a design project
LO6. reflect upon and critique design activities using appropriate language.

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.

Removal of online quizzes and replacement with formative learning activities that scaffold student understanding of the design process and specific methods.

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

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

DECO1006: Design Process and Methods

Semester 1, 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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect