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Unit outline_

DECO1012: Design Programming

Semester 1, 2024 [Normal day] - Camperdown/Darlington, Sydney

This unit provides an introduction to creative coding. It teaches an understanding of the fundamentals of computational thinking as well as skills in the design and implementation of software for creative expression and prototyping. It introduces students to tools for building interactive design applications through programming assignments, knowledge of programming concepts, and knowledge of the Javascript programming language. Key concepts covered in this unit include: object-oriented programming, control flows, and algorithmic thinking. Students learn how to design through the development of code, allowing them to incorporate programming into their own design projects as well as to collaborate effectively with software developers.

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 Kiran Ijaz, kiran.ijaz@sydney.edu.au
Lecturer(s) Kiran Ijaz, kiran.ijaz@sydney.edu.au
The census date for this unit availability is 2 April 2024
Type Description Weight Due Length
Online task Week 2: Coding Quiz
First quiz of a 4-part MCQ coding skill assessment quizzes in weeks 2-5.
7.5% Week 03
Due date: 06 Mar 2024 at 23:59
1-hour
Outcomes assessed: LO1 LO4 LO3 LO2
Online task Week 3: Coding Quiz
Second quiz of a 4-part MCQ coding skill assessment quizzes in weeks 2-5.
7.5% Week 04
Due date: 13 Mar 2024 at 23:59
1-hour
Outcomes assessed: LO1 LO4 LO3 LO2
Online task Week 4: Coding Quiz
Third quiz of a 4-part MCQ coding skill assessment quizzes in weeks 2-5.
7.5% Week 05
Due date: 20 Mar 2024 at 23:59
1-hour
Outcomes assessed: LO1 LO4 LO3 LO2
Online task Week 5: Coding Quiz
Final quiz of a 4-part MCQ coding skill assessment quizzes in weeks 2-5.
7.5% Week 06
Due date: 27 Mar 2024 at 23:59
1-hour
Outcomes assessed: LO1 LO4 LO3 LO2
Small test A2: Creative Coding Test
2-hour creative coding test to be completed in class during Week 8 tutorial
30% Week 09 2-hours
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment A3: Creative Code Design
Take-home exam. Students complete and submit a creative code design.
40% Week 13
Due date: 23 May 2024 at 23:59
5 weeks
Outcomes assessed: LO1 LO2 LO3 LO4 LO5

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

See Canvas for an in-depth description of all assessible tasks. 

Assessment criteria

A. Programming Proficiency: The student’s ability to locate, interpret, synthesise, and evaluate code. This includes the student’s ability to manipulate and extend code from examples and other designs, as well as the ability to communicate technical understanding of that code through comments and descriptions.

 

Exceeds Expectations

Above Expectations

Meets Expectations

Below Expectations

HD

D

CR

P

F

Highly original and substantially self-authored code demonstrates an ability to integrate, adapt and synthesise code from multiple sources. Code shows a deep grasp of underlying concepts, used fluently and elegantly in service of original and sophisticated work.

Original and self-authored code demonstrates a considered ability to comprehend, modify and integrate code, as well as a sophisticated comprehension of underlying concepts.

Demonstrates an ability author, modify and integrate code with sufficient comprehension of underlying programming concepts.

Demonstrates some ability to comprehend, modify or integrate code and/or demonstrates limited ability to author original code. Code functions but its structure may reflect only a basic understanding of underlying coding concepts.

Student has not demonstrated sufficient ability to author, comprehend, modify or integrate code. Code may not function or may function but reflect an incomplete understanding of coding concepts.

 

 

B. Design Quality: The student’s ability to recognise, demonstrate and implement aesthetic and human-centred design qualities. This includes the student’s ability to devise and justify an appropriate design solution based on the brief.

 

Exceeds Expectations

Above Expectations

Meets Expectations

Below Expectations

HD

D

CR

P

F

Highly effective integration of aesthetic and/or human-centred qualities into the design, with a justification that is not only compelling but coherent and interesting.

Strong consideration of aesthetic and human-centred design qualities, including an interesting and/or compelling justification.

Sufficient consideration aesthetic and human-centred design qualities. Justification complete but potentially shallow.

Satisfactory but potentially shallow implementation of aesthetic and human-centred design qualities. Justification may be rudimentary or imprecise.

Unclear and/or inadequate consideration of aesthetic and human-centred design qualities. Justification may be flawed or incomplete.

 

 

C. Design Creativity: The student’s ability to deliver original, innovative and expressive design concepts through code. This includes the explicit integration of theories and concepts introduced in this class.

 

Exceeds Expectations

Above Expectations

Meets Expectations

Below Expectations

HD

D

CR

P

F

Excellent design concept that is outstandingly original, innovative, expressive or otherwise creative.  Explicitly and eloquently connected to theory.

Strong, original design concept that is well communicated and ably grounded in the theory introduced in class.

Satisfactory design concept that shows some originality or innovation. Some connection to theory.

Design concept is derivative or shallow, but identifiable and communicated adequately. Connection to theory may be weak.

No identifiable design concept, design concept is critically flawed, or design concept is not well communicated. Connection to theory may be absent or similarly flawed.

 
 

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.

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 2023 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 2023. 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 Programming for Designers Seminar (3 hr) LO1 LO3 LO4
Week 02 Making Patterns with Code I Seminar (3 hr) LO1 LO3 LO4
Week 03 Making Patterns with Code II Seminar (3 hr) LO1 LO3 LO4
Week 04 Simple Algorithmic Designs Seminar (3 hr) LO1 LO3 LO4
Week 05 Designing Reusable Code & Debugging Seminar (3 hr) LO1 LO3 LO4
Week 07 Transformations and Events Seminar (3 hr) LO1 LO3 LO4
Week 08 Designing with Data Seminar (3 hr) LO1 LO3 LO4
Week 09 Coding Revision and Q&A A2: Creative Coding Test (in-class) Seminar (3 hr) LO1 LO2 LO3 LO4
Week 10 Working with Media Seminar (3 hr) LO1 LO2 LO3 LO4
Week 11 Object-oriented Modelling Seminar (3 hr) LO1 LO2 LO3 LO4
Week 12 Interactive Generativity Seminar (3 hr) LO1 LO2 LO3 LO4 LO5
Week 13 Computational Creativity Seminar (3 hr) LO1 LO2 LO3 LO4 LO5

Attendance and class requirements

Please refer to the Resolutions of the University School: https://www.sydney.edu.au/handbooks/architecture.html

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 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. Understand and communicate design decisions and the architectural constraints of computer programs.
  • LO2. Understand, modify and integrate code from diverse sources.
  • LO3. Create interactive digital artifacts by authoring programs.
  • LO4. Use a combination of computational and design thinking to synthesize interactive artifacts and explore programming as a creative medium.
  • LO5. Evaluate the technical, aesthetic and human-centered qualities of interactive digital artifacts.

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.

The unit will be delivered in 3-hour seminar mode, allowing for more hands-on coding activities in weekly tutorials.

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.