Covers the biomedical applications of data science techniques, which include pre-processing techniques, machine learning data analysis, and data visualization techniques.
Course Material: Defined by Supervisory Chair Grading Scheme: Letter Credits: Students may elect 1-3 per term
Physiology of cells, bones, and the circulatory system from a biomaterials, biomechanics, cellular, and tissure engineering perspective. Intellectual property and technology transfer included.
Design of custom strategies to address real-life issues in the development of biocompatible and biomimetic devices for biotechnology or biomedical applications. Student teams will work with a client in the development of projects that incorporate various aspects of biomedical engineering… Read More
Medical imaging technologies from a biomedical engineering perspective. The physics, mathematics, instrumentation and clinical applications of all common medical imaging modalities including x-ray radiography, computed tomography (CT), ultrasound imaging, positron emission tomography (PET), and magnetic resonance imaging (MRI) will be… Read More