AMS 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). 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 prerequisites ,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.
Prerequisite: AMS 161, MAT 127 or MAT 132 (Calculus II) or higher and any one of the following: BIO 202 or BIO 203 or CHE 132 or CHE 331 or PHY 127 or PHY 132
THIS COURSE IS STAFFED AND CONTROLLED BY THE NEUROBIOLOGY AND BEHAVIORAL SCIENCE DEPARTMENT. ANY QUESTIONS ABOUT THIS COURSE SHOULD BE ADDRESSED TO THE UNDERGRADUATE NEUROBIOLOGY AND BEHAVIORAL SCIENCE OFFICE.