School of Computer Science

Module 06-34239 (2022)

Research Skills, Evaluation Methods, and Statistics

Level 4/M

Peter Hancox Christopher Baber Semester 1 20 credits
Co-ordinator: Peter Hancox
Reviewer: Christopher Baber
The Module Description is a strict subset of this Syllabus Page.

Outline

The module is aimed at computer scientists who are, or intend to be involved in research that involves experimental work, for example, HCI research that involves using human studies to constrain the development of computational systems. A range of fundamental skills, tools, and techniques for undertaking research with be studied with the material covering three main areas: - (i) Design of experiments, analysis of data (using a statistical programming language or package), writing evidence-based reports, ethical considerations. - (ii) Information skills: retrieving and recording bibliographic information from manual and computerised sources. - (iii) Transferable skills: intellectual property rights; time management; report writing; oral presentation; responsible research and innovation.

Learning Outcomes

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

  • Design effective experiments
  • Apply appropriate statistical techniques to analyse experimental data and interpret the results
  • Understand and apply ethical and legal considerations when performing research
  • Perform effective literature searches
  • Present information effectively both orally and in writing.

Assessment

  • Main Assessments: Continuous assessment (100%)
  • Supplementary Assessments: Continuous assessment(100%) over the summer period

Programmes containing this module