Module Catalogues

Research Methods

Module Title Research Methods
Module Level Level 4
Module Credits 5
Academic Year 2026/27
Semester SEM1

Aims and Fit of Module

CPT401 Research Methods aims to provide postgraduate students with comprehensive guidance and training in the skills required for computing-related research. The module develops students' ability to conduct independent, rigorous research through the acquisition of critical evaluation skills, experimental methodology, professional and ethical awareness, and effective written and oral communication.

Learning outcomes

A Critically evaluate scholarly work including their own work in terms of its contribution to the field of computer science. B Conduct and critically analyse experimental work in computer science, including appropriate research design, data collection, and statistical analysis. C Understand and be able to participate within the legal, social, ethical and professional framework relevant to computing research, including data protection, professional standards, and responsible research conduct. D Demonstrate effectively the skills to structure, write and deliver formal presentations such as technical and research reports, adhering to relevant codes of practice and academic conventions.

Method of teaching and learning

In this module we wish to foster independent and critical learning, within a framework that includes a series of lectures, seminars, tutorials, and labs. Formal lectures and tutorials: To convey the concepts and methods covered in this module, students will be expected to attend two to three hours of formal lectures or seminars in a typical week. Tutorials will support students in applying these concepts. Seminars: These are intended to allow students to familiarise themselves with current research and report their analyses. Computer labs: These are practical sessions where students will gain hands-on experience with supporting technologies and AI-powered research tools (e.g., for data analysis, code generation, literature mapping) and learn to assess their outputs critically. Immediate feedback will be provided on both the process and the results. Private study: In a typical week, students will be expected to devote 10 hours of unsupervised time to private study. This will include time for reflection on lecture material, background reading, and completion of assessment tasks.