Biomedical Engineering

General objectives The course aims to introduce the principles, methodologies, and applications of the main engineering techniques used to study biomedical data pertaining the domains of statistics and machine learning. Specific objectives - Knowledge and understanding Students will learn concepts of descriptive statistics, hypothesis testing, classification models and advanced biosignal processing - Applying knowledge and understanding Students will familiarize with basic tools to apply statistical tests and to train basic classification models - Critical and judgment skills Students will learn to choose the most suitable control methodology for a specific problem and to evaluate the complexity of the proposed solution. - Communication skills Students will learn to communicate in a multidisciplinary context the main issues of interfacing neurophysiological signals with artificial systems, and to convey possible design choices for this purpose. - Learning ability: Students will develop a mindset oriented to independent learning of advanced concepts not covered in the course.