Course Coordinator:Judith Watson (jwatson@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Sunshine Coast |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Online |
Online | You can do this course without coming onto campus. |
Please go to usc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
A picture is worth a thousand words! Data in a spreadsheet or in a table doesn't tell the same story as a well presented graph. Visually-displayed data is much more accessible, and enables businesses to promptly identify potential strengths and weaknesses and in turn make well informed decisions. Through this course, you will learn to create easy-to-understand visualizations and dashboards to enable decision-makers and stakeholders to see the big picture and act on the results.
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – Asynchronous Learning material | 4hrs | Week 1 | 6 times |
Tutorial/Workshop 1 – In-class workshop | 4hrs | Week 1 | 6 times |
Tutorial/Workshop 2 – Week 7 workshop | 2hrs | Week 7 | Once Only |
Online | |||
Learning materials – Asynchronous Learning material | 4hrs | Week 1 | 6 times |
Tutorial/Workshop 1 – Interactive zoom workshop | 4hrs | Week 1 | 6 times |
Tutorial/Workshop 2 – Week 7 workshop | 2hrs | Week 7 | Once Only |
Data Visualization and Design.
Purposeful Use of Color.
Exploring Data Visually.
Explaining Visually to Influence with Data.
Data Dashboards.
Telling the Truth with Data Visualization.
700 Level (Specialised)
12 units
Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Completing these tasks successfully will contribute to you becoming... | |
1 | Explain the role of data visualisation in a business context |
Knowledgeable Creative and critical thinker |
2 | Apply the principles of data visualisation in a business context |
Creative and critical thinker Empowered |
3 | Use data analysis and visualisation techniques to gain business insights. |
Creative and critical thinker Empowered |
4 | Effectively communicate data-driven findings using data visualisation techniques |
Creative and critical thinker Empowered |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Must be enrolled in a postgraduate program.
Not applicable
Not applicable
Not applicable
Standard Grading (GRD)
High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Formative feedback provided on weekly tutorial exercises.
Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
All | 1 | Examination - not Centrally Scheduled | Individual | 10% | 1 hour |
Week 3 | Online Test (Quiz) |
All | 2 | Examination - not Centrally Scheduled | Individual | 40% | 2 hours |
Week 5 | Online Test (Quiz) |
All | 3 | Artefact - Creative, and Written Piece | Individual | 50% | 1000-word report and data visualisation artefact |
Week 7 | Online Assignment Submission with plagiarism check |
All - Assessment Task 1:Online Exam | |
Goal: | To assess your understanding and application of visualisation techniques to make sense of business data. |
Product: | Examination - not Centrally Scheduled |
Format: | An online exam with short answer and/or essay questions. |
Criteria: |
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All - Assessment Task 2:Online Exam | |
Goal: | Apply data visualisation techniques and principles for given business scenarios |
Product: | Examination - not Centrally Scheduled |
Format: | 2 hour online exam. |
Criteria: |
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All - Assessment Task 3:Data Visualisation Report | |
Goal: | To design and develop effective data visualisation for a real-world data case study. |
Product: | Artefact - Creative, and Written Piece |
Format: | Using a data visualisation software, you will create a dashboard to communicate insights for the given business case. In addition you will also be required to submit a report of your findings. Further details will be available on Canvas in the assignment specification. |
Criteria: |
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A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
Please note that you need to have regular access to the resource(s) listed below. Resources may be required or recommended.
Required? | Author | Year | Title | Edition | Publisher |
Required | Jeffrey D. Camm,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann | 2021 | Data Visualization: Exploring and Explaining with Data | 1st | Cengage Learning |
You must have a computer (Desktop or Laptop) that you can install the needed software on, in order to be able to practice data visualisation skills outside workshop times.
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Eligibility for Supplementary Assessment Your eligibility for supplementary assessment in a course is dependent of the following conditions applying: The final mark is in the percentage range 47% to 49.4% The course is graded using the Standard Grading scale You have not failed an assessment task in the course due to academic misconduct
Late submission of assessment tasks may be penalised at the following maximum rate: - 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. - 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. - A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.
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