Sample Courses

BME350 - Physiological Control Systems

An introduction to physiological concepts and selected physiological control systems, including the neuromuscular, cardiovascular, and endocrine systems. This course combines linear control theory, physiology, and neuroscience with the objective of explaining how these complex systems operate in the healthy and diseased human body.

BME395 - Cellular Molecular Bioengineering I

This course focuses on the molecular biology of cells, their integration into tissues and organs, and how this relates to problems of tissue engineering and of other medical devices and therapies. Topics include integrating cells into tissues; molecular genetic techniques; signaling at the cell surface and signaling pathways that control gene activity; integration of signals and gene controls; the eukaryotic cell cycle, cell birth, lineage and death; inflammation, wound healing and immunology.

MSE442 - Surgical and Dental Implant Design

This course covers the design, material selection, and fabrication of implants for specific applications in medicine and dentistry. Important considerations in material selection and fabrication methods are emphasized through case studies. Topics include computational modeling for optimizing device design and the necessary post-design validation procedures for ensuring acceptable device performance; methods of manufacture to produce devices of desired form and with required in vivo characteristics; and design and fabrication of devices designed to be either biodegradable or non-biodegradable.

ECE445 - Neural Bioelectricity

This course deals with generation, transmission and significance of bioelectricity in neural networks. The basic features of neural systems and corresponding nonlinear circuit models are discussed and applied to biological neural networks, artificial neural networks, and learning and memory in artificial neural networks. In the laboratory, students measure surface potentials on human torsos, generate cellular electricity in computer models of nonlinear circuits, and investigate propagation of bioelectricity in computer models of neural cables and networks.

BME595 - Medical Imaging

This course provides an introduction to medical imaging, using a physical and mathematical approach that emphasizes engineering concepts and design. Different imaging modalities, including magnetic resonance imaging (MRI), ultrasound and x-ray imaging are covered in detail. In the laboratory, students gain hands-on experience with MR and ultrasound imaging as well as image analysis of MRI data.