Understand and apply mathematical concepts and processes that are applicable to creating UX solutions

Knowledge & Understanding, Application

Create a questionnaire for gathering qualitative and quantitative data for a given purpose, and obtain results from that questionnaire, following any ethical requirements

Problem Solving, Application, Communication

Analyse data to produce statistical and representative information for a given purpose

Analysis, Problem Solving

Report (Group) (LO 2)

Creation of questionnaire for a given context,

Reason for questions, showing any data you wish to achieve from the questions

Creation of a questionnaire consent form

Test questionnaire on small sample

Details of changes due to test

Gathering of results from a representative sample



Open Book Class Test (ind) (LO 1)

A class test covering the maths concepts



Presentation (Live) (ind) (LO 3)

Analysis of results of the questionnaire

Further research to extend the results, and add to the analysis

Presentation of the results in a suitable format for a given target audience

Mathematics for Data Analysis and Computing

Basic arithmetic and mathematical concepts required for Digital UX

Descriptive Statistics, spreadsheets such as Excel/Google sheets, tabulating and charting data, averages, measures of spread.

Use of graphs and charts for the presentation of statistics

Primary Research and Data

Data Gathering

Primary research techniques and tools

Data quality and value

Quantitative and Qualitive Data

Legislation around data collection and storage

Introduction to Questionnaires and Interviews

Decision making needs to be informed by data and information, working in small teams of fellow DUX Apprentices you will undertake a collaborative research project. Building on a grounding of appropriate maths and stats techniques and tools you will present your findings making justifiable observations and conclusions from your data to an audience as required.

This will be taught in 4 sprints. Students will be required to read around the subject between sprint weeks, using guided sources.



The pattern of sprints will replicate the terminology and the ethos of how UX teams work in industry.



There will be a welcome day for all modules in that term on the first day of the first sprint.



Each sprint will have 1 day (7 hours) of contact totalling 28 hours, plus 6 hours online throughout the module, so 34 hours in total.



Contact will be a combination of workshops, lectures and guest seminars facilitating individual and group work.

CROFT, A., DAVIDSON, R., (2020), Foundation Maths, Addison-Wesley (Edition: 7)



QUINN, M. (2010) Ethics for the Information Age: International Edition, Pearson Education (Edition: 4)

https://www.interaction-design.org/

https://www.nngroup.com/