Note: The course catalogues, the SGS Calendar, and ACORN list all graduate courses associated with ECE – please note that not all courses will be offered every year.
Neural Engineering is an emerging field of research at the crossroads of neuroscience, electrophysiology, signal processing, computer science and nonlinear science. Neural Systems exhibit an amazing variety of instabilities, fluctuations, richness of forms and structures. They can be modeled at the micro and macro levels using parametric and nonparametric methods that are based on differential and integral equations, respectively.
Topics covered in the course include the following: (i) A general perspective of neurobiology and neural engineering. (ii) Parametric neural models described by nonlinear rate processes. (iii) Nonparametric neural models described by the Volterra-Wiener approach. (iv) Neuroglial networks of the brain.
Protein engineering has advanced significantly with the emergence of new chemical and genetic approaches. These approaches have allowed the modification and recombination of existing proteins to produce novel enzymes with industrial applications and furthermore, they have revealed the mechanisms of protein function. In this course, we will describe the fundamental concepts of engineering proteins with biological applications. A background in molecular biology is recommended. Course topics include: review of the fundamentals of molecular biology, random mutagenesis, site-directed mutagenesis, non-canonical amino acid substitution, DNA recombination, directed evolution and fusion proteins.
This graduate level course is intended to provide an in-depth coverage on the theory, practice, and applications of magnetic resonance imaging (MRI). Applications in cardiovascular and oncological imaging, amongst others, will be investigated, as well as the MR imaging techniques, pulse sequences, and contrast agents appropriate to different applications. The format is based on a combinatorial lecture/literature research approach.
- Understand fundamental physics of nuclear magnetic resonance and magnetic resonance imaging
- Become familiar with the most advanced MRI methods and their applications. These include cardiac MRI, perfusion MRI, metabolic MRI, rapid MRI, and contrast agents/molecular imaging.
- Prepare a comprehensive literature review article on one of the special topics.
As a graduate course offered jointly through BME and ECE, this course teaches the fundamental topics underlying electrical neuromodulation therapy devices. These include the theory of neural excitation predicted by cable theory, principles of neural recording, basics of electrophysiological techniques and hardware, fundamentals of the mammalian nervous system, long-term performance of implanted devices, and advanced techniques for selectively controlling neural activity. The class will also cover selected literature of important scientific or clinical applications in electrical neuromodulation, where each student will present and lead the discussion of each assigned paper(s).