20.560
Statistics for Biological Engineering
Provides basic tools for analyzing experimental data, interpreting statistical reports in the literature, and reasoning under uncertain situations. Topics include probability theory, statistical tests, data exploration, Bayesian statistics, and machine learning. Emphasizes discussion and hands-on learning. Experience with MATLAB, Python, or R recommended.
Prerequisites & course information
Prereq: Permission of instructor G (Spring; second half of term) Not offered regularly; consult department 2-0-2 units
Sources
- Course catalogue ↗2026–2027