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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
3.33
2.00
3.93
Fall 2025
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
2.92
2.75
3.60
Fall 2025
Introduces biomaterials science and biological interactions with materials with overview of biomaterials testing (in vitro and in vivo) and characterization. Emphasis on emerging novel strategies and design of biomaterials. Areas of concentration include polymers and ceramics in biomaterials, drug delivery, tissue engineering (orthopaedic and vascular) and nanotechnology. Prerequisite: BME 2101, BME 2104, 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.
2.73
3.10
3.24
Fall 2025
Provides a grounding in molecular biology and a working knowledge of recombinant DNA technology, thus establishing a basis for the evaluation and application of genetic engineering in whole animal systems. Beginning with the basic principles of genetics, this course examines the use of molecular methods to study gene expression, deliver viral and non-viral vectors, and its critical role in health. Prerequisite: BME 2101. Co-requisites: BME 2104.
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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.
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