BMA 774, Partial Differential Equation Modeling in
Biology
FA 08, MF 1:30-2:45 Riddick 319, with some classes in a computer lab TBA
Prof. S R Lubkin, 5-1904, Cox 513B, lubkin@eos.ncsu.edu, www4.ncsu.edu/~lubkin
Modeling space-dependent problems in biology using partial
differential equations. Conservation laws, diffusion, force balance, waves, and
pattern formation. Chemotaxis and other forms of cell and organism movement.
Introduction to solid and fluid mechanics/dynamics. Boundary and initial
conditions. Introductory numerical methods. Scaling. Case studies and projects.
Goals: A student who successfully completes this course will be able to model a spatially-dependent biological phenomenon with a system of PDE, carefully define all terms, explain the model, classify the system, identify suitable methods of solution, implement basic solution methods, interpret the results and their biological significance, clearly present the results, and, if appropriate, revise the model.
Prerequisites: ODE and eigens: MA 341 or BMA 771 or similar. Modeling: BMA 567 or 771 or similar (such as MA 573 or 574). Intellectual maturity and independence: graduate status.
Textbook: Unfortunately there is no one book out there on
this particular topic, so we will use several selected readings (either
handouts or on reserve). One of them is the e-book, Numerical methods for
engineers and scientists, 2nd edition, by Joe D. Hoffman, from the NCSU
Library.
Grades: Grades will be determined by one or two in-class exams, homework sets, a project, and a final exam. In keeping with the graduate status of this class, the homeworks will be non-routine.
Tentative Schedule
|
week |
topics |
|
Aug 22 |
anatomy of a
PDE diffusion equation, derivation from random walk |
|
Aug 25, 29 |
dimensional analysis separation of variables BC, IC superposition |
|
Sep 5 |
diffusion on infinite domain |
|
Sep 8, 12 |
Maple and Matlab |
|
Sep 15, 19 |
forward Euler method |
|
Sep 22, 26 |
conservation equations advection advection-diffusion equation |
|
Sep 29, Oct 3 |
nonlinear PDE: Fisher-Kolmogorov equation |
|
Oct 6 |
coupled PDE |
|
Oct 13, 17 |
force balance equations Navier-Stokes equations porous media |
|
Oct 20, 24 |
simple examples of fluid flow |
|
Oct 27, 31 |
chemotaxis |
|
Nov 3, 7 |
project abstracts due FEM and 2D FDM methods |
|
Nov 10, 14 |
radial coordinates Krogh cylinder |
|
Nov 17, 21 |
nonlinear examples from the literature |
|
Nov 24 |
integral equations project writeups due |
|
Dec 1, 5 |
project presentations |
|
Fri Dec 12, 1-4 |
final exam |
FAQ
Q: How does this class compare with other classes available?
A: MA 401, 501, 534, and 734 are only about linear PDE and methods for linear PDE. Most of the problems you will have in biology will require nonlinear models, and the linear methods are in general not useful for them. That is why we only briefly cover the linear methods in BMA 774. MA 584, 587, and 788 cover numerical methods, but do not cover modeling. Many of the topics in BMA 774 are covered in MAE courses such as 308, 310, 314, 355, 356, 455, 505, 550, 557, 560, etc. and PY courses such as 463, but BMA 774 is specifically focused on biological problems (many of which do not involve mechanics) and the subtleties of modeling them.
Q: Do I need to know Maple and Matlab already?
A: They will be introduced in class. How much we cover depends on the background of the students in the class.