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Course profile

Information Visualisation (DECO2200)

Study period
Sem 1 2026
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 1, 2026 (23/02/2026 - 20/06/2026)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Elec Engineering & Comp Science School

Information visualisation transforms complex data into clear, insightful visual representations that enhance understanding and support analysis. By combining graphic design principles, visual communication theory, and data visualisation techniques, we turn raw, tabular, or numerical data into meaningful visuals that tell a story. These visuals not only reveal patterns, trends, and anomalies but also ensure clarity, accuracy, and integrity in how the information is communicated. 

This course introduces students to graphic design and data visualisation theory, focusing on how these concepts apply to the encoding and presentation of both simple and complex data for effective communication. Students will apply theoretical concepts to the creation of meaningful visualisations in print & interactive form, focusing on how to effectively communicate complex datasets through thoughtful content structuring, information architecture, and layout design. The course builds upon design foundations introduced in earlier courses such as Design Thinking (DECO1100), Introduction to Web Design (DECO1400), and Design Computing Studio 1 (DECO1800).

Through the assessments, students will practice design methods and technical skills essential for creating both print and digital media, using industry-standard graphic design tools, such as Adobe Illustrator and Flourish.

Students will study the work of influential contemporary and historical designers, with an emphasis on understanding the social and cultural contexts that shape visual communication. Additionally, the course encourages peer critiques, enabling students to engage in constructive discussions about their own work and that of their peers. By doing so, they will gain the language and skills necessary to critique and evaluate information visualisation with clarity and confidence.

Changes in Response to Previous Student Feedback

The lecture and theory session have been combined into a 2 hour applied class. This session will be a combination of content delivery and design exercises for students to explore information visualisation and graphic design theory.

The Visualisation Plan and Design Exercises assessments have been removed. These have been replaced with the Redesign & Review assessment to better support student learning through regular production and critique of design work.

A formal interim deliverable has been introduced for the Data Visualisation to provide students with an opportunity for feedback on their posters prior to the final deliverable. This was offered to students in 2025, however as it was not a formal assessment item, many students did not participate leading to poor assessment outcomes.

The flow of the course has been revised to better support the design process for the major assessment item - Data Visualisation Poster.


Course requirements

Assumed background

As this course is a 2nd year course, it is expected that students have completed at least 1 year of University study prior to commencing this course. It is assumed that students will have prior design process experience, achieved through the prerequisite courses listed. Students who have not studied the prerequisite course, and wish to take this course, must consult the course coordinator prior to enrolling in the course.

Prerequisites

You'll need to complete the following courses before enrolling in this one:

DECO1100 or DSGN1100 or DSGN1002

Incompatible

You can't enrol in this course if you've already completed the following:

DECO7220

Jointly taught details

This course is jointly-taught with:

  • DECO7220

Shared class sessions - applied class & practicals with DECO7220.

Course contact

Course staff

Lecturer

Ms Lorna Macdonald
Associate Professor Maxime Cordeil

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

As active learners, you are expected to attend and participate in all scheduled class activities across the semester.

The course comprises the following class sessions:

  • Applied Class - 2 hr - one session per week, Wednesday 12pm - 2pm. All students to attend.
  • Practical - 3 hr - various sessions on Tuesday & Thursday. Students to attend their allocated session as per MyTimetable.

There are no public holidays that affect scheduling this semester.

Aims and outcomes

In this course, we aim to:

  • provide students with a solid foundation in graphic and information design principles as they apply to the visual communication of simple and complex data; both theoretically and technically;
  • introduce students to the work of contemporary and historical designers;
  • provide students with production skills through the development of design projects;
  • promote and foster creative thinking through the development of design projects and critique of contemporary works;
  • foster student skills in critical analysis of design approaches through critique - of own and others work.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Produce creative and effective data stories which demonstrate an understanding of information and graphic design theory and their significance in communicating complex datasets effectively.

LO2.

Produce creative and effective data stories that demonstrate consideration of the intended audience and/or their social and cultural context;

LO3.

Demonstrate practical and technical skills through the production of static and dynamic information visualisations using industry relevant tools;

LO4.

Critically evaluate how visual elements, interactivity, and narrative structure in information visualisations contribute to effective communication of complex data.

LO5.

Explain your design decisions and outcomes to others in a reasoned and critical manner.

Assessment

Assessment summary

Category Assessment task Weight Due date
Essay/ Critique, Poster Redesign & Review Cycles
  • Online
3

Cycle One - Redesign Due 11/03/2026 4:00 pm

Cycle One - Review Due 18/03/2026 4:00 pm

Cycle Two - Redesign Due 25/03/2026 4:00 pm

Cycle Two - Review Due 1/04/2026 4:00 pm

Cycle Three - Redesign Due 15/04/2026 4:00 pm

Cycle Three - Review Due 22/04/2026 4:00 pm

Presentation, Poster Data Visualisation Poster: Interim Critique
  • Identity Verified
  • In-person
Pass/Fail

28/04/2026 - 30/04/2026

Interim critiques will take place during the Week 9 practical sessions. Students must attend their allocated practical and must bring a print-out of their poster scaled down to A3 (297mm x 420mm); and a valid UQ ID card for identity verification.

Paper/ Report/ Annotation, Presentation, Poster Data Visualisation Poster
  • Hurdle
  • Identity Verified
  • In-person
5

Final Critiques to take place during Week 11 practical sessions

Poster files and statement of work must be submitted to Blackboard by 4pm 15/05/2026 4:00 pm

Students must attend their allocated practical session in Week 11 for the final poster critique. Students must bring valid UQ identification as this assessment is identity-verified.

Computer Code, Creative Production/ Exhibition, Paper/ Report/ Annotation, Practical/ Demonstration, Product/ Design Interactive Exploration
  • Identity Verified
  • In-person
  • Online
2

29/05/2026 4:00 pm

Demonstrations will take place during allocated practical sessions in Week 13.

A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.

Assessment details

Redesign & Review Cycles

  • Online
Mode
Product/ Artefact/ Multimedia, Written
Category
Essay/ Critique, Poster
Weight
3
Due date

Cycle One - Redesign Due 11/03/2026 4:00 pm

Cycle One - Review Due 18/03/2026 4:00 pm

Cycle Two - Redesign Due 25/03/2026 4:00 pm

Cycle Two - Review Due 1/04/2026 4:00 pm

Cycle Three - Redesign Due 15/04/2026 4:00 pm

Cycle Three - Review Due 22/04/2026 4:00 pm

Learning outcomes
L01, L04, L05

Task description

In this assessment, you will complete 3 redesign & review cycles designed to refine your technical design choices and critical eye. For each cycle, students will select one flawed visualisation from a curated set, identify its primary failures in relation to design theory and visual communication, and produce a high-fidelity redesign to rectify the issues identified. Alongside the design, you will submit a short rationale justifying the changes made and participate in a peer critique & review phase by providing structured, actionable feedback to your peers via Padlet.

Each cycle will adhere to the following 2 week format:

  • The set of flawed visualisations will be presented during the applied class.
  • You will select one to redesign.
  • The redesign will be posted, along with a short rationale explaining issues identified and how they were rectified, within one week.
  • In the second week of the cycle, you will select 2 peer redesigns to critique / review. Critiques are to be posted to Padlet as a comment on the posted redesign within one week.

There will be three (3) cycles in total. You will receive feedback following cycle one, prior to semester census date.

Use of Generative AI & Machine Translation (MT) Tools

This assessment task is aimed at students understanding and being able to effectively apply graphic design and information visualisation concepts to the visual communication of complex data, a task that requires a level of creativity and critical thinking.

This task has been designed to be challenging, authentic and complex. Whilst students may use Generative AI technologies, successful completion of this task will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.

Generative AI Tools and techniques may be utilized as supportive elements. However, there are boundaries to your usage of Generative AI Tools. Going beyond those boundaries amounts to an academic integrity issue. 

Students will be required to submit a Statement of Work with each assessment item that explicitly identifies both original and non-original work in the submission; and clearly describes any use of AI or MT used to inform the design or the production of the work.

A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.

To pass this assessment, students will be required to demonstrate detailed comprehension of their submission independent of AI and MT tools.

A guide for appropriate use and acknowledgement is provided on Blackboard.

Submission guidelines

Students will submit a digital image of their redesign and a short rationale to the course Padlet by each cycle deadline. Redesigns can be produced by hand as polished, hand-drawn sketches; or digitally produced using Flourish, Illustrator or a digital drawing application. If produced by hand, a photograph of the work should be submitted. Digital works should be uploaded as high-resolution JPG or PNG format images.

Peer critiques are to be submitted as comments directly replying to the work being reviewed. Students cannot critique their own work.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Extensions are limited to 7 days as feedback will be provided within 14 days.

Please notify the course coordinator if you submit an extension request.

Late submission

A penalty of 1 grade for each 24 hour period from time submission is due will apply for up to 7 days. After 7 days you will receive a mark of 0.

Data Visualisation Poster: Interim Critique

  • Identity Verified
  • In-person
Mode
Oral, Product/ Artefact/ Multimedia
Category
Presentation, Poster
Weight
Pass/Fail
Due date

28/04/2026 - 30/04/2026

Interim critiques will take place during the Week 9 practical sessions. Students must attend their allocated practical and must bring a print-out of their poster scaled down to A3 (297mm x 420mm); and a valid UQ ID card for identity verification.

Other conditions
Secure.

See the conditions definitions

Learning outcomes
L05

Task description

You will present an A3 (297mm x 420mm) printed draft of your data visualisation poster for feedback during the Week 9 Practical sessions.

The aim of this critique is to understand the design decisions you have made in presenting the data and to provide you feedback on the effectiveness of your communication of complex data. You will be asked to describe your design decisions, such as why you chose your specific story structure and why you used specific visualisations or encodings. You will also be asked about how the design has evolved from early concepts and how design theory has been applied to visualising the data in poster form.

Because this assessment grades your developing design skills, you must clearly state if any external tools, including Generative AI, were used in the design or production of the poster. During the critique, we will check that the main ideas and design decision came from you and your understanding of the course principles.

The grade given for the interim critique is formative and will provide you with an indication of how effective your poster is at this stage. You are encouraged to refine your poster in response to the feedback for your final submission.

Use of Generative AI & Machine Translation (MT) Tools

This assessment task is aimed at students understanding and being able to effectively apply graphic design and information visualisation concepts to the visual communication of complex data, a task that requires a level of creativity and critical thinking.

This task has been designed to be challenging, authentic and complex. Whilst students may use Generative AI technologies, successful completion of this task will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.

Generative AI Tools and techniques may be utilized as supportive elements. However, there are boundaries to your usage of Generative AI Tools. Going beyond those boundaries amounts to an academic integrity issue. 

Students will be required to explicitly identify both original and non-original work in the submission during the critique; and should be able to clearly describe any use of AI or MT used to inform the design or the production of the work.

A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.

To pass this assessment, students will be required to demonstrate detailed comprehension of their submission independent of AI and MT tools.

A guide for appropriate use and acknowledgement is provided on Blackboard.

Submission guidelines

No submission required. A photograph of your printed poster will be taken by teaching team for our records.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Students may apply for a maximum of 7 days extension for documented, extenuating circumstances. The maximum is 7 days to ensure that students are able to receive feedback to improve their posters for final submission in week 11. Please notify the course coordinator if you submit an extension request.

Late submission

You will receive a mark of 0 if this assessment is submitted late.

Students who do not participate in the interim critique and who do not have an approved extension will receive a Fail for the interim critique.

Data Visualisation Poster

  • Hurdle
  • Identity Verified
  • In-person
Mode
Oral, Product/ Artefact/ Multimedia, Written
Category
Paper/ Report/ Annotation, Presentation, Poster
Weight
5
Due date

Final Critiques to take place during Week 11 practical sessions

Poster files and statement of work must be submitted to Blackboard by 4pm 15/05/2026 4:00 pm

Students must attend their allocated practical session in Week 11 for the final poster critique. Students must bring valid UQ identification as this assessment is identity-verified.

Other conditions
Secure.

See the conditions definitions

Learning outcomes
L01, L02, L03, L04, L05

Task description

Data visualisations and infographics are powerful tools for communicating complex information that text and tables cannot easily explain. These visual approaches reveal hidden patterns, explain difficult processes, and provide instructions that enhance a reader’s understanding.

Today, information graphics are essential across many fields, including scientific visualisation, product design, business, and information technology. In any setting, these tools provide more meaningful outcomes by making data accessible.

Designing data stories is more than just a visual translation. It requires filtering information, discovering relationships between data sets, and presenting those findings in a way that is clear and impactful.

In this project, students will design and produce an A2 (594mm x 420mm) poster to communicate their chosen topic. To succeed, posters will need to:

  • Construct & present a clear narrative: use a central dataset and supporting research to tell a clear, structured story about the data.
  • Show the complexity in the data: Create at least one advanced visualisation showing multiple data relationships (multidimensional).
  • Build a cohesive story: Support your narrative with a series of simpler visualisations to create a unified, professional presentation.


You will present your work to the teaching team and your peers in a compulsory & identity-verified critique process. The key aim of the critique process is to establish design defensibility - i.e. "if you made it, you should be able to defend it"; and to verify the authorship of the work.

There are 2 formal critiques for this assessment:

  • Interim Critique in Week 9 practical sessions - in this critique, you will present a copy of your poster-in-progress, printed onto A3 (297mm x 420mm) paper. The aim of this critique is to understand design decisions made and to provide feedback for you to improve your poster before final submission. More details about this critique can be found in the Data Visualisation Poster: Interim Critique assessment item.
  • Final Critique in Week 11 practical sessions - in this critique, you will present a professionally printed copy of the final poster at A2 (420mm x 594mm) size. The aim of this critique is to understand the evolution of the poster design and the design decisions you made in presenting the data.

In both critiques, you will be asked to describe your design decisions, such as why you chose your specific story structure and why you used specific visualisations or encodings. You will also be asked about how the design has evolved from early concepts and how design theory has been applied to visualising the data in poster form. Because this assessment grades your developing design skills, you must clearly state if any external tools, including Generative AI, were used in the design or production of the poster. During the critique, we will check that the main ideas and design decision came from you and your understanding of the course principles.

Use of Generative AI & Machine Translation (MT) Tools

This assessment task is aimed at students understanding and being able to effectively apply graphic design and information visualisation concepts to the visual communication of complex data, a task that requires a level of creativity and critical thinking.

This task has been designed to be challenging, authentic and complex. Whilst students may use Generative AI technologies, successful completion of this task will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.

Generative AI Tools and techniques may be utilized as supportive elements. However, there are boundaries to your usage of Generative AI Tools. Going beyond those boundaries amounts to an academic integrity issue. 

Students will be required to submit a Statement of Work with each assessment item that explicitly identifies both original and non-original work in the submission; and clearly describes any use of AI or MT used to inform the design or the production of the work.

A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.

To pass this assessment, students will be required to demonstrate detailed comprehension of their submission independent of AI and MT tools.

A guide for appropriate use and acknowledgement is provided on Blackboard.

Hurdle requirements

Students must participate in and pass the final critique to pass this assessment item. If a student fails the final critique, their poster grade will be capped at a Fail (3) regardless of the grading outcome for the poster itself. Final critiques will be recorded. Students must achieve a grade of Pass (4) or higher on this assessment item to pass the course.

Submission guidelines

Student must bring a professionally, printed copy of their poster at A2 size (420mm x 594mm) for the critique in Week 11. Resources for printing posters are available on Blackboard.

Poster working files, assets and statement of work are due to Blackboard by 4pm on Friday of Week 11.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.

As it is important for the final critique be conducted with the final version of the poster, students who receive an approved extension for the final submission of this assessment, will have their final critique scheduled according to their new submission date.

Students who are unable to attend their final critique due to extenuating circumstances must submit an extension request for the poster assessment and notify the course coordinator so their critique can be rescheduled accordingly.

Extensions will be applied to the final deadline for the poster, not the critique deadline. Final critiques will be rescheduled in line with extension-adjusted deadlines. Please notify the course coordinator if you submit an extension request.

Late submission

A penalty of 1 grade for each 24 hour period from time submission is due will apply for up to 7 days. After 7 days you will receive a mark of 0.

Interactive Exploration

  • Identity Verified
  • In-person
  • Online
Mode
Product/ Artefact/ Multimedia, Written
Category
Computer Code, Creative Production/ Exhibition, Paper/ Report/ Annotation, Practical/ Demonstration, Product/ Design
Weight
2
Due date

29/05/2026 4:00 pm

Demonstrations will take place during allocated practical sessions in Week 13.

Learning outcomes
L01, L03, L05

Task description

In this project, students will select one or two visualisations from their poster to convert into interactive format. The aim of this assessment is to explore how interactivity can help an audience understand complex data more deeply.

Students will apply information and graphic design principles to communicate a subset of their poster data clearly, using Flourish and/or JavaScript visualisation libraries to implement interactivity in their visualisation.

Students will demonstrate their work to the teaching team and peers during the Week 13 practical sessions. This component of the assessment is compulsory and will be identity verified.

Use of Generative AI & Machine Translation (MT) Tools

This assessment task is aimed at students understanding and being able to effectively apply graphic design and information visualisation concepts to the visual communication of complex data, a task that requires a level of creativity and critical thinking.

This task has been designed to be challenging, authentic and complex. Whilst students may use Generative AI technologies, successful completion of this task will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.

Generative AI Tools and techniques may be utilized as supportive elements. However, there are boundaries to your usage of Generative AI Tools. Going beyond those boundaries amounts to an academic integrity issue. 

Students will be required to submit a Statement of Work with each assessment item that explicitly identifies both original and non-original work in the submission; and clearly describes any use of AI or MT used to inform the design or the production of the work.

A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.

To pass this assessment, students will be required to demonstrate detailed comprehension of their submission independent of AI and MT tools.

A guide for appropriate use and acknowledgement is provided on Blackboard.

Submission guidelines

Digital submission to Blackboard by 4:00pm Friday of Week 13. Demonstration in allocated Week 13 practical session - bring valid UQ identification.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.

As it is important for the demonstration to be conducted with the final version of the interactive work, students who receive an approved extension for the final submission of this assessment, will have their demonstration rescheduled according to their new submission date. Please notify the course coordinator if you submit an extension request.

Late submission

A penalty of 1 grade for each 24 hour period from time submission is due will apply for up to 7 days. After 7 days you will receive a mark of 0.

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Description
1 (Low Fail)

Absence of evidence of achievement of course learning outcomes.

Course grade description: Students who achieve this grade have failed to demonstrate most of the learning objectives of this course in most of the major items of assessment; showing little evidence of knowledge or understanding of the underlying concepts as they apply to visual communication of simple and complex data. Achieves a grade of Low Fail (1) for each graded assessment item OR achieves an average grade of Low Fail (1) across all graded assessment items.

2 (Fail)

Minimal evidence of achievement of course learning outcomes.

Course grade description: Students who achieve this grade demonstrate an inability to apply theoretical knowledge and technical skills to the visual communication of simple and complex data. They demonstrate clear deficiencies in understanding and applying fundamental concepts; communicate information or ideas in ways that are frequently incomplete or confusing and give little attention to the conventions of the discipline. The submitted work is largely inaccurate or irrelevant, demonstrating a rudimentary level of visual communication & technical proficiency. Achieves a grade of Fail (2) for each graded assessment item OR achieves an average grade of Fail (2) across all graded assessment items.

3 (Marginal Fail)

Demonstrated evidence of developing achievement of course learning outcomes

Course grade description: Students who achieve this grade demonstrate an emerging ability to apply theoretical knowledge and technical skills to the visual communication of simple and complex data; and a limited/flawed understanding of the underlying theoretical concepts. The submitted work is largely inaccurate or irrelevant, demonstrating a rudimentary level of visual communication & technical proficiency. Achieves a grade of Marginal Fail (3) for each graded assessment item OR achieves an average grade of Marginal Fail (3) across all graded assessment OR achieves a grade of Marginal Fail (3) or below for the Data Visualisation Poster.

4 (Pass)

Demonstrated evidence of functional achievement of course learning outcomes.

Course grade description: Students who achieve this grade demonstrate acceptable application of theoretical knowledge and technical skills to the visual communication of simple and complex data; communicate information and ideas adequately in terms of the conventions of the discipline. The submitted work demonstrates a functional level of visual communication & technical ability. Achieves a grade of Pass (4) or higher for the Data Visualisation Poster assessment item AND achieves an average grade of Pass (4) across all graded assessment items.

5 (Credit)

Demonstrated evidence of proficient achievement of course learning outcomes.

Course grade description: Students who achieve this grade demonstrate effective application of theoretical knowledge and technical skills to the visual communication of simple and complex data; communicate information and ideas clearly and fluently in terms of the conventions of the discipline. Submitted work demonstrates a proficient level of visual communication & technical ability. Achieves a grade of Pass (4) or higher for the Data Visualisation Poster assessment item AND achieves an average grade of Credit (5) across all graded assessment items.

6 (Distinction)

Demonstrated evidence of advanced achievement of course learning outcomes.

Course grade description: Students who achieve this grade demonstrate extensive application of theoretical knowledge and technical skills to the visual communication of simple and complex data; uses a level, style and means of communication appropriate to the discipline and the audience. The submitted work demonstrates advanced visual communication & technical ability. Achieves a grade of Pass (4) or higher for the Data Visualisation Poster assessment item AND achieves an average grade of Distinction (6) across all graded assessment items.

7 (High Distinction)

Demonstrated evidence of exceptional achievement of course learning outcomes.

Course grade description: Students who achieve this grade demonstrate original, novel and/or creative application of theoretical knowledge and technical skills to the visual communication of simple and complex data - with clear evidence of critical analysis and synthesis of information, concepts and skills from different aspects of the course; with consistent evidence of substantial originality and insight in identifying, generating and communicating competing arguments, perspectives or problem-solving approaches; critically evaluates problems, their solutions and implications. The submitted work demonstrates exceptional visual communication & technical ability. Achieves a grade of Pass (4) or higher for the Data Visualisation Poster assessment item AND achieves an average grade of High Distinction (7) across all graded assessment items.

Additional course grading information

Qualitative Grading:

Grades for assessment during the semester will identify your work as being of a particular standard from the following list:

  • No assessable work received (X) - applies to late or non-submission of assessment items.
  • Low Fail (1) - absence of evidence of achievement of assessment outcomes.
  • Fail (2) - minimal evidence of achievement of assessment outcomes.
  • Marginal Fail (3) - demonstrated evidence of developing achievement of assessment outcomes.
  • Pass (4) - demonstrated evidence of functional achievement of assessment outcomes.
  • Credit (5) - demonstrated evidence of proficient achievement of assessment outcomes.
  • Distinction (6) - demonstrated evidence of advanced achievement of assessment learning outcomes.
  • High Distinction (7) - demonstrated evidence of exceptional achievement of assessment learning outcomes.

Within each grade category, there may be a further qualifier of + or - to indicate that the work is respectively at the upper or lower bounds of the category. These grades map directly to the standard UQ Grade descriptors (see Part H in the Assessment Procedure linked above). It is recommended that you read the descriptors and example criteria that are associated with each of the UQ grade standards.

Note, that percentages or numerical marks are not required in grading assessment or for calculating grade cut-offs. Percentage cut-offs are primarily employed in courses that utilise quantitative (numerical based) methods for marking. Qualitative grading, such as used here, uses a standards-based approach to grading.

Calculation of Final Grade:

The final grade for the course will be initially constructed from the individual grades according to assessment weightings; and calculated as a weighted average of your assessment grades, using the same formula as used for calculating your GPA (https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/final-grades-and-gpas). In this case, U equals the weighting for that particular assessment item, and G equal to the grade for the assessment item. In this course, the graded assessment items are Redesign & Review Cycles, Data Visualisation Poster, and Interactive Exploration

Example of calculation for final grade:

If you receive the following grades:

  1. Redesign & Review (weight = 3) - Pass (4)
  2. Data Visualisation Poster (weight = 5) - Distinction (6)
  3. Interactive Exploration (weight = 2) - Credit (5)

The final grade will be calculated as:

The sum of your (grade x weight) for each assessment item: (Grade for Redesign & Review x 3) + (Grade for Data Visualisation Poster x 5) + (Interactive Exploration x 2)

Divided by the total weight of the assessment items: (Weight of Redesign & Review: 3) + (Weight of Data Visualisation Poster: 5) + (Weight of Interactive Exploration: 2)

((4 x 3) + (6 x 5) + (5 x 2))ᅠ / (3 + 5 + 2)

(12 + 30 + 10) / 10

52 / 10 = 5.2 = Credit (5)

This calculation provides the starting point for your final grade, which is then reviewed & moderated based on overall performance across the course; and pass conditions applied.

Pass Conditions:

Students must participate in and pass the Data Visualisation Poster: Final Critique to pass the Data Visualisation Poster major assessment item. This item constitutes the secure assessment for the course and is designed to ascertain the student's design working for the major assessment.

Students must achieve a grade of Pass (4) or higher for the identity-verified and secured Data Visualisation Poster to pass this course. Students who receive a grade of Fail (3) or lower will have their final grade for the course capped at Fail (3) regardless of performance in other assessment items.

Identify Verified Assessment:

The assessments Data Visualisation Poster: Interim Critique (in-person critique), Data Visualisation Poster: Final Critique (in-person critique) and the Interactive Exploration (in-person demonstration) are identity verified.

Supplementary assessment

Supplementary assessment is available for this course.

Additional assessment information

Academic Integrity in Design Work:

Ideally, all work & elements within works will be the original creation of the student. However, it is recognised that students may utilise, create derivatives, adapt or alter already existing work to create original compositions. Existing/external works may include vector art, typefaces, patterns, textures — any work not of the student's original creation that is used in the final composition of a work.

Any work used that is not explicitly created by the student must reference the original creator and must be done so in accordance with the distribution license attached to the work. Works under public domain or royalty-free distribution licenses must also be referenced as these are not created by the student. Failure to correctly cite external work may attract a misconduct charge.

Students will be required to explicitly identify both original and non-original work in their submissions; and should be able to clearly describe any use of AI or MT used to inform the design or the production of the work. This may be in the form of a written statement of work or in person during critiques.

Having Trouble?

If you are having difficulties with any aspect of the course material, you should seek help. Speak to your teaching staff and/or the course coordinator.

If external circumstances are affecting your ability to work on the course, you should seek help as soon as possible. The University and UQ Union have organisations and staff who are able to help; for example, UQ Student Services are able to help with study and exam skills, tertiary learning skills, writing skills, financial assistance, personal issues, and disability services (among other things).

Complaints and criticisms should be directed in the first instance to the course coordinator. If you are not satisfied with the outcome, you may bring the matter to the attention of the School of EECS Director of Teaching and Learning.

When Submitting Assessments to Blackboard:

Please allow plenty of time for submission to Blackboard as many students are attempting the same task at the same time. Be sure to allow enough time for uploading of assessment files. It is YOUR responsibility to check that submissions have been uploaded correctly.

Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Library resources are available on the UQ Library website.

Other course materials

If we've listed something under further requirement, you'll need to provide your own.

Required

Item Description Further Requirement
Poster Printing Students should expect to spend up to $50 for printing assessment items. There is no requirement to purchase textbooks or other learning resources. own item needed

Additional learning resources information

All announcements, assessment briefs & learning resources will be delivered via the course Blackboard site.

Weekly readings are available through the course reading list at UQ Library.

All students are expected to check their student email account regularly (preferably daily) and the course Blackboard Announcements prior to any major activities.

This course will use EdDiscussion for questions and discussion; and a Padlet for the Redesign & Review cycle outcomes.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Multiple weeks

From Week 1 To Week 13

Applied Class

Applied Class (2hr)

The applied classes are delivered in person (on campus) and combine content delivery of design principles and theories as they relate to information design and visual communication; contemporary designers and assessment discussion; complemented with interactive exercises aimed at developing students' application and understanding of design principles, methods and theories.

Learning outcomes: L01, L04, L05

Practical

Practical (3hr)

Practicals are delivered in person (on campus) and will develop practical skills in the use of Adobe Illustrator and Flourish Studio. Students will also present their design work; have the opportunity to receive feedback & guidance from their demonstrator; and to give/receive critique of their own & their colleagues' assessments.

Learning outcomes: L01, L02, L03

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.

School guidelines

Your school has additional guidelines you'll need to follow for this course: