Stony Brook University 3 credits BME
This course introduces students to machine learning and artificial intelligence methods applied to Biomedical Engineering problems. We will cover singular-value decomposition (SVD), and principal components analysis (PCA), Fourier and Wavelet Transforms, Regression and Model Selection, Clustering and Classification, Deep Learning using Neural Networks, and Scientific Machine Learning. Course emphasis will be placed on the concepts and implementation of machine learning and AI methods as implemented in the Julia programming language. The final project will teach the students how to apply the various methods learned and practiced in the class to tackle real-world complex BME challenges. 3 credits Grading Letter graded (A, A-, B+, etc.)
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