BioData Processing and Machine Learning

Catalog description

Fundamental and cutting-edge research tools used in analyzing biomedical data are the basis of this course. Beginning with basic filtering and correlation approaches, extending to optimal/adaptive filtering and multivariate analysis, and machine learning, neural network, and deep learning in processing biomedical signals and data. Graduate students are expected to develop the ability to explain methodologies and corresponding results, as well as to apply algorithms to real-world problems.