Introduces principles and application of fluid and mass transport processes in cell, tissue and organ systems. Topics include intro to physiological fluid mechanics in the circulation and tissue, fundamentals of mass transport in biological systems, effects of mass transport and biochemical interactions at the cell and tissue scales and fluid and mass transport in organs. Prerequisites: APMA 2130 or MATH 3250, or APMA 2501 - Differential Equations & Linear Algebra, and BME 2101, and BME 2104, or instructor permission.

Presents analytical tools used to model signals & linear systems. BME examples include multicompartment modeling of drug delivery, modeling of dynamic biomechanical systems & electrical circuit models of excitable cells. Topics: signals & systems, convolution, continuous time Fourier transforms, electrical circuits & applications of linear system theory. Prerequisite: PHYS 2415 & APMA 2130, & CS 1110 or equivalent

A year-long design project required for BME majors. Students select, formulate, and solve a design problem related to a device or a system. Projects use conceptual design, skills obtained in the integrated lab and substantial literature and patent reviews. Projects are sponsored by faculty, physicians and/or companies. Students may work on their own with outside team members when appropriate or with other students in integrative teams. Prerequisite: 4th year standing in the Biomedical Engineering major or instructor permission.

Second half of a year-long design project required for BME majors. Students select, formulate, & solve a design problem related to a device or a system. Projects use conceptual design, skills obtained in the integrated lab & substantial literature and patent reviews. Projects are sponsored by faculty, physicians and/or companies. Students may work on their own with outside team members when appropriate or with other students in integrative teams. Prerequisite: 4th year standing in the Biomedical Engineering major or instructor permission.

How does a single fertilized egg grow and divide into every cell in the body, from branching neurons to beating cardiomyocytes and everything in between? Can we harness this knowledge to better understand disease, and to produce therapeutically relevant cell types, tissues, and organs? You will explore what controls stem cell differentiation using hands-on experiments, with emphasis on methods to engineer cell fate for regenerative medicine. Prerequisite: BME 2104

This course introduces techniques for constructing mathematical and computational models of biological processes and utilizing experimental data to validate those models at many levels of organizational scale -- from genome to whole-tissue. Prerequisites: APMA 2130 or MATH 3250 or APMA 2501 - Differential Equations & Linear Algebra, and APMA 3110 or APMA 3100 or MATH 3100, and BME 2101, and BME 2104, and BME 2315 and BME major or minors

Introduces genomics and bioinformatics theory and tools to analyze large scale biological data. Specific topics covered are Introduction to Linux and R statistical programming language, computations on the high-performance computational cluster, analysis of sequencing data with applications in gene expression and protein/DNA interactions, differential expression analysis, pathway and co-expression network analysis. Prereq: (APMA 3110 or APMA 3100 or MATH 3100) and (CS 1110 or CS 1111 or CS 1112 with grade of C- or better or successfully completed CS 1110 place-out test) and BME major or minor

Intro to systems-level measurement techniques for capturing molecular information and the mathematical and computational methods for harnessing the information from these measurements to improve our understanding of cell physiology and disease. Practical implementation of the concepts in MATLAB or Python will be applied to existing, real data from published journal articles. Pre-requisites: APMA 3100 or APMA 3110, BME 2104, BME 2315, and CS 1110 or CS 1111 or CS 1112

This course will provide students with a quantitative framework for identifying and addressing important biological questions at the molecular, cell, and tissue levels. The course will focus on the interplay between methods and logic, with an emphasis on the themes that emerge repeatedly in quantitative experiments.

"We will explore engineering methods to use ""microbes as tools"" for human wellbeing, to understand and combat ""microbes as enemies"" in infectious disease, and to characterize and manipulate ""microbes as partners"" in human health and wellbeing. We will learn how facets of BME are used to test hypotheses of human/microbe relationships and to design strategies to understand and treat disease and improve human wellbeing. Prerequisites: BME 2000 AND (BME 2101 OR BME 2102) AND BME 2104 AND BME 2315"