Description
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Aims
The aim of this module is to provide students with the knowledge and skills surrounding the investigation of user experiences within the context of human-centred data science.
Learning Outcomes
By the end of this module the student should be able to:
1. Understand state of the art techniques in assessing and creating user experiences within the context of data science.
2. Understand the process of the investigation and creation of user experiences under consideration of ethical and legal aspects.
3. Designing a data-driven experiment to investigate human behaviours and understand the process of selecting and capturing pertinent data to answer specified questions.
Indicative Content
1 Systematic investigations
Research questions and hypotheses
2 User experience design
What are user experiences and why we should investigate these
3 Creating user experiences
Emotional and persuasive design
4 Measuring the user experience
Analysis methods and how to collect data ethically
5 User states
Immersion and engagement in user experiences
6 Data in AR/VR
Exploring (psychophysiological) user data generated in VR/AR environments
7 Statistics and research methods
Methods, research methods
8 Data representations
Proper representations of data and findings
Teaching and Learning Work Loads
| Teaching and Learning Method | Hours |
| Lecture | 12 |
| Tutorial/Seminar | 0 |
| Practical Activity | 36 |
| Assessment | 80 |
| Independent | 72 |
| Total | 200 |
Guidance notes
SCQF Level - The Scottish Credit and Qualifications Framework provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.
Credit Value – The total value of SCQF credits for the module. 20 credits are the equivalent of 10 ECTS credits. A full-time student should normally register for 60 SCQF credits per semester.
Disclaimer
We make every effort to ensure that the information on our website is accurate but it is possible that some changes may occur prior to the academic year of entry. The modules listed in this catalogue are offered subject to availability during academic year 2021/22 , and may be subject to change for future years.
