BIO 332 - Computational Modeling of Physiological Systems

Introduces students to the fundamental principles underlying computational modeling of complex physiological systems. A major focus of the course will be on the process by which a model of a biological system is developed. Students will be introduced to the mathematical methods required for the modeling of complex systems (including stochastic processes and both temporal and spatial dynamics) as well as to tools for computational simulation. Roughly one half of the class will focus on models for general cellular physiology, while the remaining half will focus on the development of higher-level models of a particular physiological system (for example, the neurobiological systems underlying learning).

3 credits

Prerequisite(s): MAT 127 or MAT 132 or AMS 161 or MPE level 9 and any one of the following: BIO 202 or BIO 203 or CHE 132 or CHE 331 or PHY 127 or PHY 132

Offered: This course is offered as both AMS 332 and BIO 332 and is intended for STEM majors who have already completed the foundational courses in their major. Students who satisfy the pre-requisites but do not have a deeper background in some STEM field may find the class very challenging and should ask the instructor for guidance before registering.