BME 244L
Quantitative Physiology with Biostatistical Applications
George A. Truskey
Description from DukeHub
An examination of the importance of mass and energy balances, transport processes, mechanics, energetics, and electrical activity in physiological systems. Lectures cover cellular physiology, cardiovascular system, nervous system, muscle physiology, and renal physiology. Labs complement lecture topics and introduce statistical methods related to the measurement and analysis of physiological data. Statistical topics include: descriptive statistics; hypothesis testing; correlation, regression, and goodness of fit; ANOVA and post-hoc tests; power analysis and experimental design. Prerequisite: Engineering 103L or Computer Science 201 and co-/prerequisite: (Biology 201L or Biology 203L) and (Mathematics 212, 216, 218D-2, 219, 221, 222 or 353).
Skills
- data and statisticsdescription: "statistical" and 3 more
- lab workhas a lab component
AI-resilient: 1 of 5
- Yes: Physical, lab or field work · "lab"
- 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
More in BME
- Biomaterials BME 221L
- Quantitative Physiology with Biostatistical Applications BME 244L9
- Medtech Prototyping Skills (GE) BME 254L
- Modeling Cellular and Molecular Systems BME 260L
- Signals and Systems BME 271D
- Ethics in Bioengineering (GE) BME 280