The first of four math modules designed to reinforce basic mathematical and computer programming concepts pertinent to graduate research in biomedical engineering. This course will emphasize the 5 cornerstones of applied linear algebra: Linear combinations, projections & orthogonality, norms, eigenvalues & eigenvectors, and SVD. Topics include linear least-squares, data projections, Fourier series, wavelets, discrete Fourier transform (DFT), solid mechanics, Markov chains, principal component analysis, and signal processing techniques. This course will provide the necessary linear algebra background needed to solve problems in BE 602, 603 and 604.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.