This preview shows pages 1–2. Sign up to view the full content.
1
Introduction
• The course is focused on modeling of biological processes at
cell and molecular levels.
• Good in math is not necessarily good in modeling.
 Solving equations
vs
setting up equations
• What is mathematical modeling?
• The basic idea of mathematical modeling is to find a mathematical
relationship that
behaves in the same ways
as the objects or
processes under investigation.
•
It is to
approximate
a real world system, (e.g., cell), using
mathematical equations, that the prediction
can be tested
against
observable properties of the system. Therefore, the sophistication
of the model
depends on
techniques that are available
for making
observations of the system.
• A useful mathematical model may give insight about how
something really works, and
predict new things
that cannot be
predicted through intuition. (
e.g., blackbox => greybox
)
•
It can provide a powerful means of
integrating several pieces of
knowledge
at a given level to describe responses at a higher
organizational level. (
e.g., molecule => cell
=> tissue => whole body
)
Various Definitions in the literature
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
This is the end of the preview. Sign up
to
access the rest of the document.
This note was uploaded on 01/17/2010 for the course BME 100 taught by Professor Yuan during the Fall '07 term at Duke.
 Fall '07
 YUAN

Click to edit the document details