Presents the analytical tools used to model signals and linear systems. Specific biomedical engineering examples include multicompartment modeling of drug delivery, modeling of dynamic biomechanical systems, and electrical circuit models of excitable cells. Major topics include terminology for signals and systems, convolution, continuous time Fourier transforms, Laplace transforms, electrical circuits with applications to bioinstrumentation and biosystems modeling, and applications of linear system theory. Students cannot receive credit for both this course and ECE 3750. Prerequisite: APMA 2130, CS 1110 or instructor permission.

A year-long research project in biomedical engineering conducted in consultation with a department faculty advisor; usually related to ongoing faculty research. Includes the design, execution, and analysis of experimental laboratory work and computational or theoretical computer analysis of a problem. Requires a comprehensive report of the results. Prerequisite: third- or fourth-year standing, and instructor permission.

Master's Research

Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.