This course is designed for master students to understand the necessary signal processing and statistics methods to analyse biosignal data and produce the empirical evidence for answering research questions. The course will also teach students how to use advanced bio-statistics software to inspect, clean, aggregate, and analyse their data.

CILO-1: To design and develop rigorous experiments based on the scientific method, incorporating the principles of reliability, validity, falsifiability, randomization, standardization, experimental control, sampling and sample size, replicability, and preregistration. CILO-2: To test experimental predictions using quantitative analysis, making use of statistical inference and the concepts of probabilistic theory, sampling distribution, hypothesis testing, variance, power and effect size, reliability, and the most common significance tests. CILO-3: To execute skills in biosignal processing, including biosignal data acquisition, raw data inspection, data filtering, artefact rejection and correction, single-subject analysis, and sample analysis. CILO-4: To create graphs and professional figures by obtaining the necessary visualisation skills and knowledge of common standards in cognitive and brain sciences.