Ms Jane Reid

Teaching

Graphical User Interfaces (Postgraduate)

Computers are tools that people interact with and through for work and pleasure. Nowadays computers are ubiquitous and are fundamental to all sorts of devices such as washing machines, cars, mobile phones, airplanes, televisions, and musical instruments. However, it is still very difficult to design user interfaces which are simple, intuitive, and easy to use you only have to look at the number of help books (e.g. the proliferation of books with titles such as 'the idiots guide to ') and modules to realise that designers often simply fail to make interfaces usable. This course introduces you to basic concepts of psychology and communication which inform the way in which interfaces should be designed. The course comprises lectures, problem classes, and lab sessions.

Graphical User Interfaces (Undergraduate)

Computers are tools that people interact with and through for work and pleasure. Nowadays computers are ubiquitous and are fundamental to all sorts of devices such as washing machines, cars, mobile phones, airplanes, televisions, and musical instruments. However, it is still very difficult to design user interfaces which are simple, intuitive, and easy to use; you only have to look at the number of help books (eg the proliferation of books with titles such as 'the idiots guide to') to realise that designers often simply fail to make interfaces usable. This module introduces you to basic concepts of psychology and communication, which inform the way in which interfaces should be designed. The centre of the module is the hands-on coursework undertaken in small teams where you will design, prototype, and evaluate interactive user interfaces for a specific set of user requirements. The module comprises lectures, problem classes, and lab sessions.

Project Management for Big Data Analysis (Work based)

This module will provide degree apprentices with the methodological skills to manage a big data project, both in terms of managing time/schedule and in terms of tools and technologies. It will encompass the whole data analysis pipeline, including obtaining and checking data, analysis, results evaluation, and feedback loop to evolve/improve the process. Degree apprentices will also gain practical experience in applying the taught methodology to data drawn from their own workplace context.

Research

Research Interests:

Publications