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4.16
3.63
3.35
Fall 2025
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.
4.17
3.00
3.87
Fall 2025
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.
4.36
2.24
3.77
Fall 2025
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 Design, BME Electronics Lab, and Systems Biology Modeling and Experimentation. Prerequisite: third- or fourth-year standing or instructor permission.
4.36
3.53
3.28
Fall 2025
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
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Fall 2025
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
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3.88
Fall 2025
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
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4.00
Fall 2025
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.
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Fall 2025
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
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Fall 2025
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
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Fall 2025
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.