BIOPHYS 463 - Mathematical Modeling in Biology
Section: 001
Term: FA 2019
Subject: Biophysics (BIOPHYS)
Department: LSA Biophysics
Requirements & Distribution:
Waitlist Capacity:
Advisory Prerequisites:
MATH 214, 217, 417, or 419; and MATH 216, 256, 286, or 316.
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

The complexities of the biological sciences make interdisciplinary involvement essential and the increasing use of mathematics in biology is inevitable as biology becomes more quantitative. Mathematical biology is a fast growing and exciting modern application of mathematics that has gained world- wide recognition. In this course, mathematical models that suggest possible mechanisms that may underlie specific biological processes are developed and analyzed. Another major emphasis of the course is illustrating how these models can be used to predict what may follow under currently untested conditions. The course moves from classical to contemporary models at the population, organ, cellular, and molecular levels. The goals of this course are: (i) Critical understanding of the use of differential equation methods in mathematical biology and (ii) Exposure to specialized mathematical and computational techniques which are required to study ordinary differential equations that arise in mathematical biology. By the end of this course students will be able to derive, interpret, solve, understand, discuss, and critique discrete and differential equation models of biological systems.

For more information on this course, please visit the Department of Mathematics webpage

BIOPHYS 463 - Mathematical Modeling in Biology
Schedule Listing
001 (LEC)
MWF 10:00AM - 11:00AM
002 (LEC)
MWF 1:00PM - 2:00PM
MF 1:00PM - 2:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 9780898715545
Mathematical models in biology, Author: Edelstein-Keshet, Leah., Publisher: Society for Industrial and Applied Mathematics 2005
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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