Many scenarios in the life sciences can be modeled with discrete difference equation models which simulate how quantities change over evenly spaced intervals. The construction and analysis of models of discrete difference equations do not require knowledge of calculus, and thus make excellent exemplary models in courses where the typical student may not be proficient in calculus. In this Faculty Mentoring Network (FMN), participating biology faculty will engage in converting the materials developed for an undergraduate freshman level course on discrete mathematical modeling for the life sciences (including readings, lecture slides, and computer lab projects) into single modules (separated from the developmental sequence of a math course) to be utilized in the participating faculty's Spring 2018 biology courses. Apply to Participate in The Discrete FMN
FMN Schedule: A more detailed schedule can be found here.
Potential Biological Applications: As a part of the FMN, peer mentors Erin N. Bodine and Carrie Diaz Eaton will share materials they have developed for undergraduate courses on mathematical modeling which cover the use of discrete difference equation models for a variety of biological applications including: