CCN205 Data-Driven Storytelling
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | CCN205 |
|---|---|
| Prerequisite(s): | ((CCN111 or CCQ111) OR ((CCN106 or CCQ106) and (CCN107 or CCQ107))) AND ((CCN110 or CCQ110) OR ((CCN102 or CCQ102) and (CCN104 or CCQ104))) |
| Antirequisite(s): | DVB302, DXB502 |
| Equivalent(s): | CCQ205 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| Domestic tuition unit fee | $2,976 |
| International unit fee | $4,044 |
Unit Outline: Flexible Period - 10A 2024, Kelvin Grove, Internal (Start Date: 16 Sep 2024)
| Unit code: | CCN205 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | ((CCN111 or CCQ111) OR ((CCN106 or CCQ106) and (CCN107 or CCQ107))) AND ((CCN110 or CCQ110) OR ((CCN102 or CCQ102) and (CCN104 or CCQ104))) |
| Equivalent: | CCQ205 |
| Anti-requisite: | DVB302, DXB502 |
| Coordinator: | Danny Hui | danny.hui@qut.edu.au |
Overview
This unit examines visual communication for information and the application of principles for effective information design. Understanding and engaging with the ever-growing quantities of data is a challenge for both organisations and individuals. Increasingly, experts are required to not only evaluate and prepare this data, but also to identify and communicate it within organisations, or to stakeholders, clients, users, community groups, etc. The effective visual communication of those stories in the data is a design process informed by advanced principles of information design and is critical for audience engagement. Data-driven storytelling is an advanced visual information design unit.
Learning Outcomes
On successful completion of this unit you will be able to:
- Critique data stories drawing on the principles of information design and scholarly research.
- Apply principles of advanced information design to create visual data stories.
- Clean, transform and analyse different datasets.
- Identify the cultural appropriateness of data communication for diverse audiences.
Content
This unit will explore the following topics:
- Key criteria for information design and visualisation
- Design principles for advanced visual information design
- The role of data visualisation to show relationships between events, issues or communities in various contexts
- Equity and diversity considerations in creating data stories
- Types of visualisations
- Tools for creating information design.
Learning Approaches
This unit is taught via a blended approach that combines elements of online delivery and face-to-face.
Learning experiences in this unit include:
- participating in class/online tutorials
- engaging with online learning materials
- reading book chapters, scholarly and industry articles
- creating visualisations
- interpreting and manipulating data activities
Feedback on Learning and Assessment
You will receive feedback on your learning in a variety of ways, including:
- Informal formative feedback in tutorials,
- Self-assessment tools,
- Peer feedback,
- Formal written or recorded feedback on both formative and summative assessment tasks in addition to the grade on the Criterion Reference Assessment sheet.
Assessment
Overview
In this unit you will complete two assessment tasks:
1. Data Story Critique - This task draws on your ability to deconstruct data stories and identify what elements of the story work, and also understand ways in which you yourself could adapt these approaches.
2. Data Story Presentation - This task applies your understanding of advanced visualisation principles for making sense of complex data sets and effectively communicating data in the form of visual stories to a variety of audiences.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Data Story Critique
You will select one data story and critique it. Your critique will include a summary of what the story is about and the data it is based upon. Consider how the data is sourced and presented, including consideration of equity and diversity, and why it matters for this story. As part of the critique you will engage with the scholarship to analyse the strengths and weaknesses of the story.
This is an assignment for the purposes of an extension.
Assessment: Data Story Presentation
You will present a data story using a topic provided to you by the teaching team. The format and deliverable for this will be a multiple-page Tableau story presentation that will form the basis for a recorded video presentation. You will present a compelling original visual data story using a combination of provided and (optionally) individually sourced data. It will be up to you what specific angle or story you look to present.
This is an assignment for the purposes of an extension.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Requirements to Study
Costs
The unit requires:
- Laptop computer with Tableau, Acrobat Reader Pro, Microsoft Excel, Microsoft Word, Open Refine, and Sublime Text.
- Internet access to review online modules, Lynda.com and/or other resources at QUT
- Digital storage media (USB memory stick or portable hard drive)
Alternative arrangements may be available for students experiencing financial hardship. Refer to the unit Canvas site for more information.
Risk Assessment Statement
For risks associated with using campus buildings or facilities, refer to the Tier 1 General Health and Safety Induction.
You are advised to back-up your digital files on a regular basis to ensure work is not lost if there is a hardware failure. Information about the free file storage provided by QUT for students is available on the Storing your files page.
There are no out of the ordinary risks associated with this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.KC87 Graduate Diploma in Digital Communication
- Critique scholarly research in specialised and contemporary digital communication areas.
Relates to: ULO1, Data Story Critique - Independently propose data-driven solutions to contemporary communication issues
Relates to: ULO2, Data Story Presentation - Analyse data using industry standard tools and platforms leveraging advanced capabilities
Relates to: ULO2, ULO3, Data Story Presentation - Analyse critical issues in media and communication industries with consideration for diversity.
Relates to: ULO1, Data Story Critique - Tailor culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO4, Data Story Critique, Data Story Presentation
KC88 Master of Digital Communication
- Critique and engage in scholarly research in specialised and contemporary digital communication areas.
Relates to: ULO1, Data Story Critique - Independently propose innovative, data-driven solutions to contemporary communication issues
Relates to: ULO2, Data Story Presentation - Analyse data using industry standard tools and platforms leveraging advanced capabilities to address industry and research problems
Relates to: ULO2, ULO3, Data Story Presentation - Evaluate critical issues in media and communication industries.
Relates to: ULO1, Data Story Critique - Tailor and implement culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO4, Data Story Critique, Data Story Presentation