Biophysics II

Description from DukeHub

Quantitative understanding of biological systems through the application of physical principles. Course will emphasize topics that span multiple length and time scales, and different levels of biological organization. Two to four topics per semester, including possibly organismal motion from molecular processes to whole organisms, nervous systems from membrane channels to neuronal networks, noise in biology, novel biophysical technologies, etc. Recommended prerequisite: Biology 201L or 203L, Mathematics 212 and 216 or equivalent, and calculus-based introductory physics or permission of the instructors.

Skills

• data and statisticsdescription: "quantitative" and 1 more

AI-resilient: 0 of 5 0/5

• 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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