Provides students with the skills necessary to engage in meaningful engineering design, and focuses on the latter stages of the engineering design process - detailed design, prototyping, and evaluation. Students …
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 …
Introduces the physiology of the kidney, salt and water balance, gastrointestinal system, endocrine system, and central nervous system, with reference to diseases and their pathophysiology. Prerequisite: (CHEM 1410 or CHEM …
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; …
Introduces principles of continuum mechanics of biological tissues & systems. 1) Review results used in biomechanics field, 2) properties of living tissue; 3) mechanical basis & effects of pathology & …
Discover how computation drives innovation in human health. Learn programming, numerical methods & AI tools to analyze and model real biomedical data. Work in teams to generate solutions for Alzheimer's …
Second part of 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. Prerequisite: 3rd or …
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 …
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. …
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, …
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 …
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 …
"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 …
Introduces the fundamental principles of tissue engineering. Topics: tissue organization and dynamics, cell and tissue characterization, cell-matrix interactions, transport processes in engineered tissues, biomaterials and biological interfaces, stem cells and …
Applies engineering science, design methods, and system analysis to developing areas and current problems in biomedical engineering. Topics vary by semester. Recent topics include Medical Imaging Systems Theory, BME Advanced …
Students will design treatment strategies for cancer and cardiovascular disease based on molecular bioengineering principles. Special topics will include design of nanoparticle drug and gene delivery platforms, materials biocompatibility, cancer …
In-depth study of a biomedical engineering area by an individual student in close collaboration with a departmental faculty member. Requires advanced analysis of a specialized topic in biomedical engineering that …
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 …
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 …
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 …