Statistics, Computation, and Data Analysis for Biomedical Engineers

4 credits · College of Engineering catalogue

Advisory Prerequisite: Concurrent or prior enrollment in MATH 116, MATH 156, or MATH 186 is recommended. Enforced Prerequisite: ENGR 101 or ENGR 151 or EECS 183 or EECS 180 or ROB 102. Minimum grade requirement of “C-” for enforced prerequisite. (4 credits) This course integrates the fundamentals of descriptive statistics, discrete and random distributions, hypothesis testing, regression, ANOVA and post-hoc tests with computation, data analysis and visualization to address real world biomedical problems. Engaged learning class sessions focus on applying statistical and computational methods to real data sets from biomedical engineering.