You will learn how excitable tissue, nerves and muscle, and the cardiovascular and respiratory systems function. You will develop an understanding of mechanisms, with an introduction to structure, an emphasis on quantitative analysis, and integration of hormonal and neural regulation and control. Prerequisites: (PHYS 1425 or PHYS 1420 or PHYS 1710) AND (APMA 1110 or MATH 1320) AND (CHEM 1410 or CHEM 1610 or CHEM 1810) AND BME Major or Minor

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.

Intro to fundamentals of cell structure and function, emphasizing the techniques and technologies available for the study of cell biology. Content includes cell structure and function; energy flow in cells; information flow in cells focuses on modern molecular biology and genetic engineering, and includes DNA replication, the cell cycle, gene expression, gene regulation, and protein synthesis. Prerequisite: CHEM 1410 or CHEM 1610 or CHEM 1810 or instructor permission.

A year-long course integrating concepts and skills from prior courses to formulate and solve problems in biomedical systems, including experimental design, performance and analysis. Testing in tissues/cells & manipulation of molecular constituents to determine structural and functional characteristics for design of therapeutic or measurement systems. Methods incl biochemical, physiological, cell biology, mechanical, electrical and computer, systems, chemical, imaging, and other approaches. Prerequisite: 3rd and 4th Year standing in Biomedical Engineering major

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

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

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.

Students learn foundational concepts about cellular behaviors and the molecular mechanisms that drive them by communicating findings that are published in peer-reviewed scientific and engineering papers. Prereqs: coursework in Biochemistry, Cell Biology, Human Physiology/Pathology/Anatomy

This course presents organ physiology and pathology as systems that can be studied, measured, and manipulated using biomedical engineering tools and approaches by reading peer-reviewed scientific and engineering papers and discussing them in class. Prereq: knowledge of Biochem, Cell Biology, Human Physiology/Pathology/Anatomy

Students learn foundational principals of advanced research, including hypothesis formulation, experimental design, and statistical methods to assess experimental data as it relates to hypothesis testing. Prerequisites: Previous exposure to statistics and programming in a language such as Python, MATLAB, or R.