Andrew Howes & Benjamin Cowan
Coordinators - Email HowesA at Birmingham
June 2013
Contents
For further information see: Canvas
This web page is for module 23856 only.
The aim of the module is to provide an introduction to the use of experimental design and statistics for the purpose of investigating human behavior. The module is targeted at computer scientists with an interest in (i) understanding empirical studies concerning human behavior, including studies of cognitive, social, and economic behaviour, and (ii) designing and conducting empirical research into the interaction between people and computers.
The module may be of interest to computer scientists who look to an understanding of human behavior to help constrain the development of computational systems, including novel forms of social media, information visualisation, information retrieval system, decision support system, robotics, and dynamic control systems.
The course focuses on the implications of methodology and statistics (through lectures) and the practical implementation of research methodologies on real world datasets. Students will learn about how to design experiments, how to analyse data (using the R programming language), and how to write evidence-based reports.
| Overview | The module overview gives details about the aims, learning outcomes, assessment and recommended books. There is also a detailed syllabus at the end of this document. |
If you are thinking about taking this module and have further questions then please do not hesitate to get in touch with Andrew or Ben.