This course introduces software tools and scientific programming techniques so that the student may make use of the powerful computing environments now commonly available. The course uses Matlab for study of scientific computation. Matlab is used to show programming methods, as well as to introduce numerical techniques. The objective is directed towards scientific programs for solutions of engineering equations, analysis of data, and simulation of physical phenomena. Software design includes mastering flow control, conditional statements, input and output, two and three dimensional graphics, and data structures. Additionally, the student will apply these software constructs to solve problems in statistics, imaging, and problems in biomedical engineering.
This course provides a rigorous coverage of signal and systems with applications in biomedical engineering. Basic concepts, such as continuous and discrete time systems, Fourier and Laplace transforms and their discrete counterparts, are explored. Problems are motivated by biomedical signal and image processing, as well as in other linear systems encountered in biomedical engineering. Students will use Matlab and Simulink.
This introductory course will cover fundamentals of micro/nanotechnology and its applications in biomedical sciences. The course will provide rationale for utilizing micro/nanotechnology for biomedical applications including scaling laws. Basic microfabrication methods and design principles of microfluidics, lab-on-a-chip and microelectromechanical systems (MEMS) used in biology and medicine will be presented. Students will gain a broad perspective on applied research and commercial applications of biomedical microsystems.
This is an advanced course in the interdisciplinary field of biomedical microdevices. This course will build upon a fundamental understanding of the principles of micro- and nanoscale system design to explore state-of-the-art applications of biomedical microdevices. Students will learn about the cutting-edge micro/nanofabrication techniques and its most recent applications in biomedical sciences through in depth analysis of recent publications.