Bioengineering

This course discusses the function and role of new tools in the fields of Biotechnology and Bioengineering as well as their applications. It offers a study of tissue engineering tools, regenerative medicine and gene editing, computational drug design, tissue-on-chip development, bio-inspired materials, 3D bioprinting, computational modeling of biological systems, and synthetic biology. This course places special emphasis on how artificial intelligence is shaping each of these tools and applications.

This course provides a broad overview of neural engineering concepts and principles for recording outgoing (efferent) and generating ingoing (afferent) neural signals. These concepts form the basis for neural interfaces or human-machine interfaces. This area is interdisciplinary and encompasses the fields of neuroscience, physiology, signal processing, machine learning, and robotics. The course provides insights into existing and future neural interfaces, neural prostheses, and neurorobotics. The course introduces principles and technologies of neuroengineering applications including basic human neurophysiology and -anatomy, brain stimulator, spinal cord stimulation, functional electrical stimulation (FES), neural-machine interface for motor prosthesis control, artificial visual, and auditory devices for augmented sensory perception. Assumed prior knowledge: Mathematics, Physics and Physiology (eg. EXTG50).

This course gives a fundamental understanding and an experimental experience of ultrasound and gain insight in an expanding research area. Topics covered include ultrasound physics, transducer technology, diagnostic equipment technology, doppler, bio-acoustics, field characterization, airborne ultrasound, diagnostic application, non-destructive testing, sonar, and research projects at the department. Assumed prior knowledge: First Course in Physics