Evaluation Methods and Statistics

Module Title - Evaluation Methods and Statistics
Number of credits – 10

Module description 

The aim of the module is to provide an introduction to the use of experimental design and statistics for the purpose of investigating human behaviour. The module is targeted at computer scientists with an interest in
(i) understanding empirical studies concerning human behaviour, 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 behaviour 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 module 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 a statistical programming language or package), and how to write evidence-based reports.

The aims of this module are to:

  • Provide you with knowledge and skills necessary to assess and conduct empirical research for HCI and computational science
  • Give you practical and mathematical knowledge in basic statistical techniques

On successful completion of this module, you should be able to:

  • Identify and discuss research methodologies for investigating human behaviour
  • Recognise the appropriateness of statistical techniques in data analysis
  • Conduct and report a variety of statistical tests using appropriate software
  • Interpret research findings from a variety of statistical techniques to a high level
  • Discuss issues related to conducting research on human participants (sampling, recruitment, ethics etc)

Teaching and assessment:

Sessional: 1.5hr examination (80%), continuous assessment (20%). The continuous assessment is based on two class tests (10% each).
Supplementary (where allowed): examination only (100%).
Semester 1
Contact hours - 33