At JMM 2019, we will share some of our activities in a minicourse titled Using Data Applications to Inspire Linear Algebra Topics in the Classroom . The course is scheduled in two parts. Part A, Wednesday, 9:00–11:00 am, and Part B, Friday, 9:00–11:00 am. This minicourse is designed for participants who wish to incorporate data applications into their linear algebra courses. It provides a hands-on introduction to two data applications that inspire a host of linear algebra topics in the classroom: brain scan tomography (3d image reconstruction) and heat diffusion (diffusion welding and image warping). Participants will work with these applications using either Matlab or Octave, but no prior experience with these programs is required. There will also be time for pedagogical advice and group discussions regarding how to adapt the provided code and materials to one's own course.
minicourse materials (coming soon):