Covers and emphasizes practical applications of linear algebra, statistics, complex analysis, and signal processing in bioengineering.
Students develop fluency with matrix decompositions, statistical inference and curve fitting, complex-number representations of signals, linear time-invariant systems, and Fourier analysis, and apply these tools to representative biomedical problems.
