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01:640:336 - Dynamical Models in Biology

General Information

Math 336 was introduced as a separate course in the Fall 2001 semester. Previously, this content was available as one option in Math 338. The catalog description of the course is as follows.

01:640:336. DYNAMICAL MODELS IN BIOLOGY (3)
Models for biological processes based on ordinary and partial differential equations. Topics selected from models of population growth, predator-prey dynamics, biological oscillators, reaction-diffusion systems, pattern formation, neuronal and blood flow physiology, neural networks, biomechanics. 
Prerequisites: CALC4 and 01:640:250.

The most recent semester covered the following topics: review of modeling with ordinary differential equations, steady-states, nullclines, linearization, linear ODE's, and stability, with illustrations from chemostats, drug infusion, epidemics, and chemical kinetics; singular perturbations and Michelis-Menten enzyme dynamics; bifurcations and switching behavior; activator-inhibitor systems; limit cycles and Poincare-Bendixon theory; relaxation oscillations; transport equation and travelling waves; chemotaxis: gradients; attraction and repulsion; diffussions and their relation to random walks.

The Course Announcement gives information on prerequisites, credit restrictions, and relation to the Biomathematics major.

Previous semesters:

Taught in the Fall Term. 

Current Semester:

For more information on instructors and sections for this course, please see our Teaching Schedule Page

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This material is posted by the faculty of the Mathematics Department at Rutgers New Brunswick for informational purposes. While we try to maintain it, information may not be current or may not apply to individual sections. The authority for content, textbook, syllabus, and grading policy lies with the current instructor.

Information posted prior to the beginning of the semester is frequently tentative, or based on previous semesters. Textbooks should not be purchased until confirmed with the instructor. For generally reliable textbook information—with the exception of sections with an alphabetic code like H1 or T1, and topics courses (197,395,495)—see the textbook list.

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