We will learn to bridge the gap between the fields of bioengineering and the science of how drugs interact with biological systems, i.e., Pharmacology, including the principles of biochemical reaction kinetics and engineering; how such principles can help us describe, model, predict and modulate the outcome of biochemical reactions in cells and biological reactors, and apply these principles to the understanding of pharmacological phenomena. Prerequisites: BME 2104 AND APMA 2130

This course introduces techniques for constructing mathematical and computational models of biological processes. We utilize experimental data to validate those models at many levels of organizational scale -- from genome to whole-tissue. Prerequisites: APMA 2130 or MATH 3250, BME 2101, BME 2104, and BME 2315.

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.

Applies engineering science, design methods, and system analysis to developing areas and current problems in biomedical engineering. Topics vary by semester.

Students learn to motivate research, design experiments, analyze/display data, present results for their own research. Receive training in professional skills, including project leadership and management, best practices for collaborative research, and developing resilience. Prereq: BME 6001-6004, or permission by instructor

Students learn how to process imperfect biomedical measurements and extract information. Students learn fundamental principles of signal and image processing and machine learning. Prerequisites: Ability to program in MATLAB or Python. Knowledge of calculus, vectors and matrices

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

In a team, develop, prototype, and conduct verification and validation tests on engineering solutions to clinical challenges, demonstrating concept viability. Formal Design Control, Life Cycle, Risk Analysis, Project Management and Intellectual Property Strategies are introduced. Using Product Development Protocols, prepare a regulatory and implementation pathway analysis for commercialization into clinical practice. Prerequisite: BME 6550 Special Topics: Clinical Technology Continuum of Care