— Machine Learning for Biomedical Engineering

Prerequisites & course information

Course Description: Selected machine learning methods with biomedical engineering applications. Machine learning algorithms including linear regression, logistic regression, support vector machines, decision trees, fully connected neural networks, and clustering methods. Computer labs provide applications of machine learning algorithms to biomedical data. Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Enrollment Restriction(s): Open to upper division Biomedical Engineering majors only. Credit Limitation(s): No credit if student has taken ECS 111 , ECS 171 , or EEC 179 ; 3 units of credit if student has taken EEC 174AY or NPB 136 . Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Enrollment Restriction(s): Open to upper division Biomedical Engineering majors only. Credit Limitation(s): No credit if student has taken ECS 111 , ECS 171 , or EEC 179 ; 3 units of credit if student has taken EEC 174AY or NPB 136 . Grade Mode: Letter. General Education: Science & Engineering (SE).