This module provides guidance and training in methods used for the empirical evaluation of computer applications focusing on experiment design and the statistical analysis of experimental results. Students will learn about how to properly design and conduct experiments to evaluate computer systems. They will also learn how to analyze the data generated by experiments using a statistical programming language and how to communicate their results in an evidence-based report. The aims of this module are as follows. • Provide the student with knowledge and skills necessary to assess and conduct empirical research for computer science. • Give students practical and mathematical knowledge in the statistical techniques commonly used for empirical research.
A. Analyse a range of empirical methodologies in research, evaluating their strengths, weaknesses, and suitability for different research questions. B. Justify the selection and application of specific statistical techniques for empirical data analysis and accurately interpret the resulting research findings C. Implement statistical analyses of empirical data using appropriate software tools and effectively report the methods and findings. D. Critically evaluate research protocols involving human participants to ensure ethical conduct, robust sampling strategies, and the mitigation of bias.
This module will be delivered using formal lectures and lab sessions supplemented with private study. 1. Lectures: Students will be expected to attend two hours of formal lectures in a typical week. Key concepts are introduced and illustrated through lectures. 2. Lab sessions: Students will be expected to attend two hours of supervised lab session every week. Students will use software tools to conduct and report a variety of statistical tests. The necessary practical skills are developed through laboratory exercises and assessment tasks. 3. Private study: Students will be expected to devote six to eight hours of unsupervised time to private study every week. The time will typically allow for background reading, practical work, and coursework assignments.