Current Courses
Department of Mechanical and Materials Engineering
MECH 460 is one of two possible capstone project courses for Mechanical and Materials Engineering students. The course aims to prepare graduating students for the engineering workforce by working on real-world team design problems as proposed by industry based clients.
Department of Chemical Engineering
The objective of the course is to introduce the student to the fundamentals necessary to understand and appreciate the issues involved in engineering in the body and to provide a framework for upper level studies in the area. Topics include: History of Biomedical Engineering, Anatomy and Physiology, Basic Immunology, Materials in Medicine, Transport Phenomena in the Body, Biomechanics, Biosensors, and Tissue Engineering.
This course is designed as a graduate level introductory course in tissue engineering: the interdisciplinary field that encompasses biology, chemistry, medical sciences and engineering to design and fabricate living systems to replace damaged or diseased tissues and organs. Topics to be discussed include: tissue anatomy, basic cell biology, cell scaffolds, cell sources and differentiation, design considerations, diffusion and mass transfer limitations, effects of external stimuli, bioreactors, methods used to evaluate the engineered product(s), and implantation. Case studies of specific tissue engineering applications will also be discussed.
Collaborative Program in Biomedical Engineering
Many biomedical engineering graduate programs are heavily skewed towards the development of technical skills required to undertaken the proposed research (including mathematical skills, theoretical modeling and experimental procedures). As a result, biomedical research tends to be both poorly planned and presented. Presenting research to a biomedical audience can be a frustrating experience if not delivered in the appropriate format (e.g. hypothesis-based research). The overall aim of this course is to have students learn how to plan biomedical research a priori, including using statistical methods to predict sample sizes, and to develop and improve their skills for writing journal articles and research proposals as well as giving scientific talks.
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