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Courses / Undergraduate / BME

BME 271D

Signals and Systems

Michael Rizk

Description from DukeHub

Convolution, deconvolution, Fourier series, Fourier transform, sampling, and the Laplace transform. Continuous and discrete formulations with emphasis on computational and simulation aspects and selected biomedical examples. Prerequisite: Biomedical Engineering 253L or Electrical & Computer Engineering 110L and Mathematics 216, 218, 221, or 356.

Skills

No skill passed the confidence bar. Weak matches go to review instead of this page: an AI pass that has to quote the description, then a person.

AI-resilient: 0 of 5

  • No: Physical, lab or field work
  • No: Live work with people
  • No: Judgment someone is accountable for
  • No: A craft you practice with your hands or body
  • No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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