This graduate course is an introduction to the computational tools most commonly applied in biological and physiological research, with emphasis on the art of using models, programming and simulation to reach useful conclusions and insights. Specific topics include exact and iterative methods for the solution of large systems, differentiation and interpolation numerical integration, pseudorandomization, Monte Carlo methods and statistical bootstrap methods, Fourier transform and spectral methods, and also finite difference methods for the solution of ordinary and partial differential equations. Each weekly lecture is accompanied by a computer lab in which the students will gain experience in the use of the techniques under study. Interspersed with learning of methods will be a variety of specific bioengineeering applications covering the range from genes and molecules to cells, organs, and systems.

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.