Probability theory, parameter estimation, hypothesis testing, experimental design and power analysis for bioengineering problems. Supervised and unsupervised machine learning, dimensionality reduction, biological system model evaluation. Course Information: Credit is not given for BME 530 if the student has credit in BIOE 530. Previously listed as BIOE 530. Extensive computer use required. Prerequisite(s): MATH 310 or the equivalent. Recommended background: Programming skills with Matlab or R.