Data Visualisation
Duration
- One Semester or Equivalent
Contact hours
- 46 hours
2021 teaching periods
Hawthorn
| Higher Ed. Semester 1 | Higher Ed. Semester 2 | |
|---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Prerequisites
COS60006 Introduction to ProgrammingAims and objectives
This unit aims to instruct students on the fundamental principles of information visualisation, and good design practices. Students will explore a wide range of visualisation idioms and develop the ability to create visualisations that empower users to understand real-world data sets.
Unit Learning Outcomes
Students who successfully complete this unit will be able to:
1. Critically evaluate data visualisations and propose improvements based on an understanding of human perception and cognition and data visualisation design principles.
2. Apply a structured design process to create effective visualisations within a research context.
3. Create interactive data visualisations using real-world data sets.
4. Effectively communicate and reflect on the design process for an interactive visualisation, including the choice of visualisation idioms and reasoning behind design decisions.
Students who successfully complete this unit will be able to:
1. Critically evaluate data visualisations and propose improvements based on an understanding of human perception and cognition and data visualisation design principles.
2. Apply a structured design process to create effective visualisations within a research context.
3. Create interactive data visualisations using real-world data sets.
4. Effectively communicate and reflect on the design process for an interactive visualisation, including the choice of visualisation idioms and reasoning behind design decisions.
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
*Scheduled face to face: *Scheduled face to face: Lectures (24 hours), Tutorials (24 hours)
*Scheduled synchronous online learning events (N/A)
Non-scheduled online learning events and activities (N/A)
Other non-scheduled learning events and activities including independent study (approx. 104 hours)
*Scheduled synchronous online learning events (N/A)
Non-scheduled online learning events and activities (N/A)
Other non-scheduled learning events and activities including independent study (approx. 104 hours)
Assessment
| Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
| Lab exercises | Individual | 10% | 2,3,4 |
| Assignment: Visualisation critique | Individual | 15% | 1, |
| Project | Individual | 35% | 1,2,3,4 |
| Examination | Individual | 40% | 1,3,4 |
Minimum requirements to pass this unit
As the minimum requirements of assessment to pass a unit and meet all Unit Learning Outcomes to a minimum standard, a student must achieve:
• An aggregate mark of 50% or more, and
• At least 40% in the final exam.
Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 44% as the total mark for the unit and will not be eligible for a conceded pass.
As the minimum requirements of assessment to pass a unit and meet all Unit Learning Outcomes to a minimum standard, a student must achieve:
• An aggregate mark of 50% or more, and
• At least 40% in the final exam.
Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 44% as the total mark for the unit and will not be eligible for a conceded pass.
General skills outcomes
During this unit students will receive feedback on the following key generic skills:
• Communication skills
• Ability to tackle unfamiliar problems
• Ability to work independently
• Communication skills
• Ability to tackle unfamiliar problems
• Ability to work independently
Content
• Introduction to data visualisation
• Brief history of data visualisation
• Data visualisation design guidelines, graphical integrity
• Visual variables: marks and channels
• Visualisation critique
• Analysis of user tasks in visualisation usage
• Introduction to Data Driven Documents (D3)
• Data sets and types
• Interaction: Manipulating view, Filtering
• Data visualisation idioms
• Colour theory
• Human perception and cognition
• Introduction to data visualisation research
• Brief history of data visualisation
• Data visualisation design guidelines, graphical integrity
• Visual variables: marks and channels
• Visualisation critique
• Analysis of user tasks in visualisation usage
• Introduction to Data Driven Documents (D3)
• Data sets and types
• Interaction: Manipulating view, Filtering
• Data visualisation idioms
• Colour theory
• Human perception and cognition
• Introduction to data visualisation research
Study resources
- References.
References
A list of reading materials and/or required texts will be made available in the Unit Outline.