— Probability & Data Science for Biomedical Engineers

Prerequisites & course information

Course Description: Concepts of probability, random variables, stochastic processes, mathematical modeling, and data analysis, with applications to biomedical engineering. Includes combinatorics, discrete, continuous, and jointly distributed random variables, probability distributions and models, Markov Chains, and Poisson Processes. Computer labs using MATLAB cover mathematical and computational modeling techniques, hands-on data analysis, and computer simulations. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): No credit for students who have taken MAT 107 or BIS 107 ; only 2 units of credit for students who have completed MAT 135A or STA 131A . Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): No credit for students who have taken MAT 107 or BIS 107 ; only 2 units of credit for students who have completed MAT 135A or STA 131A . Grade Mode: Letter. General Education: Science & Engineering (SE).