Applied Mathematics in Bioengineering

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Applied Mathematics in Bioengineering

Coursera · Intermediate ·📐 ML Fundamentals ·2d ago

Skills: ML Maths Basics90%

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.

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