Quantitative Physiology with Biostatistical Applications
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).
Topics
- descriptive statistics
- hypothesis testing
- correlation
- regression
- and goodness of fit
- ANOVA and post-hoc tests
- power analysis and experimental design
Topics explicitly listed in official catalogue description
Prerequisites & course information
002183
Sources
- Course catalogue ↗2026-2027