This course focuses on the "soft skills" critical to a successful path to a graduate degree in STEM. It is suitable for both MS and PhD students. The focus will be on Chemical Engineers, but topics covered in this course will likely be valuable to any STEM student.

Description not available at this time

Talks and discussions of Science, Technology, Engineering and Mathematics (STEM) Education issues featuring lectures by on-campus and off-campus presenters.

An in-depth study of computer modeling and simulation with applications to the biomechanics of human movement. Includes lectures, readings, discussions, programming exercises, and student projects.

This graduate level course will incorporate approaches from physiology, engineering and computational neuroscience to understand the interactions between neural control and biomechanics of human movement. We will use MATLAB as a tool for data analysis, graphing and modeling. Our aim is to use mathematics to better understand biological learning and control processes in the central nervous system.

A detailed study of optimal control theory with applications to the biomechanics of human movement. Includes lectures, readings, discussions, programming assignments, and student projects.

Description not available at this time

This is an introduction to differential equations for students in the mathematical or other sciences. Topics include first-order equations, second-order linear equations, qualitative study of dynamical systems, and first- and second-order linear partial differential equations.