Applied Mathematics in Bioengineering
Skills:
ML Maths Basics90%
Key Takeaways
Applies mathematical concepts like linear algebra and statistics to bioengineering problems
Original Description
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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