User Experience Design
36 hours face to face + blended
One Semester or equivalent
Hawthorn
Available to incoming Study Abroad and Exchange students
Overview
This unit explores the concept of the user experience (UX) and the fundamental importance of UX design in the context of digital advertising and digital marketing. It provides an overview of information architecture, and introduces several key techniques used by UX practitioners, including heuristic evaluation, contextual inquiry, usability testing, A-B testing and multivariate testing. The fundamentals of digital analytics are covered, with a view to how to use analytics to monitor and improve the usability of interactive applications
Requisites
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Learning outcomes
Students who successfully complete this unit will be able to:
- Describe the concept of usability and user experience
- Identify the constraints and limitations of users in general, and appraise the needs of target users in particular
- Generate analytics reports based on user data in a dedicated web analytics environment
- Design and administer various tests that can be used to evaluate usability
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Face to Face Contact (Phasing out) Lecture | 1.00 | 12 weeks | 12 |
Face to Face Contact (Phasing out) Tutorial | 2.00 | 12 weeks | 24 |
Specified Learning Activities (Phasing out) Various | 8.00 | 12 weeks | 96 |
Unspecified Learning Activities (Phasing out) Independent Learning | 1.50 | 12 weeks | 18 |
TOTAL | 150 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Assignment 1 | Individual | 35% | 2,4 |
Assignment 2 | Group | 50% | 1,2,3,4 |
Presentation | Group | 15% | 1,2,3,4 |
Content
- Introduction to usability
- Understanding the user
- Heuristic evaluation
- Information architecture
- Prototyping and usability
- Usability testing
- A-B and multivariate testing
- Gathering and processing meaningful analytics data
- Web analytics reporting to measure interactions between users and web applications
- Analytics and the user experience
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.