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AMATH 422
Introduction to Mathematical Biology
Fall 2007
Schedule
| SLN: |
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10203 |
| Days: |
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T, Th |
| Time: |
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3:30-4:50 pm |
| Room: |
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Loew Hall 113 |
Instructors
| Name: |
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Mark Kot |
| Office: |
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415G Guggenheim Hall |
| Phone: |
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(206) 543-0908 |
| Fax: |
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(206) 685-1440 |
| Email: |
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kot@amath.washington.edu |
| Office Hours: |
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M, W, F |
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3:00-4:00 pm |
| Name: |
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Hong Qian |
| Office: |
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415E Guggenheim Hall |
| Phone: |
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(206) 543-2584 |
| Fax: |
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(206) 685-1440 |
| Email: |
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qian@amath.washington.edu |
| Office Hours: |
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M, W |
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3:00-4:30 pm |
Assistants
| Name: |
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Justine GunOg Seo |
| Office: |
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Guggenheim 407 |
| Fax: |
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(206) 685-1440 |
| Email: |
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justine@amath.washington.edu |
| Office Hours: |
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M, W 2:00-3:00 pm (in Guggenheim 415L) |
Content
Course Catalog
Mathematical biology is an active and fast-growing interdisciplinary field in which mathematical concepts,
techniques, and models are applied to problems in biology and medicine. Many biological processes can
be described by differential equations and difference equations. This course introduces students
to the construction and analysis of these models. We will cover a wide variety of topics including
single-species models, nonlinear dynamics and chaos, (predator-prey and competition) models for
interacting populations, enzyme kinetics, biological oscillators, neural and physiological models (excitability,
testoserone secretion), pharmacokinetics, and models from epidemiology.
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Continuous-time population dynamics
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Population models with age structure
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Discrete-time population dynamics
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Tumour growth and cell proliferation
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Continuous-time interacting population models
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Discrete-time models for interacting populations
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Enzyme kinetics
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Simple oscillatory reactions
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Hodgkin-Huxley theory and neural networks
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Belousov-Zhabotinskii reaction
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Coupled oscillators
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Epidemiology models and dynamic diseases
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Pharmacokinetics and drug action
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Blood flow and dynamics
Textbooks
The course does not require a textbook,
but see the next section for some helpful books in our library.
We will provide lecture notes for many of the course topics.
References
Helpful Reference Books:
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Allen, L. J. S. (2007)
An Introduction to Mathematical Biology
Pearson Prentice Hall, Upper Saddle River, NJ.
UW Library Catalog
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Brauer, F. and Castillo-Chavez, C. (2001)
Mathematical Models in Population Biology and Epidemiology
Springer, New York, NY.
UW Library Catalog
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Britton, N. F. (2005)
Essential Mathematical Biology
Springer, London, UK.
UW Library Catalog
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Edelstein-Keshet, L. (1988)
Mathematical Models in Biology
Random House, New York, NY.
UW Library Catalog
Edelstein-Keshet, L. (2005)
Mathematical Models in Biology
SIAM, Philadelphia, PA.
UW Library Catalog
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Fall, C. P., Marland, E., Wagner, J., and Tyson, J. (2002)
Computational Cell Biology
Springer, New York, NY.
UW Library Catalog
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Hoppensteadt, F. C. and Peskin, C. S. (2002)
Modeling and Simulation in Medicine and the Life Sciences
Springer, New York, NY.
UW Library Catalog
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Keener, J. and Sneyd, J. (1998)
Mathematical Physiology
Springer, New York, NY.
UW Library Catalog
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Kot, M. (2001)
Elements of Mathematical Ecology
Cambridge University Press, Cambridge, UK.
UW Library Catalog
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Mangel, M. (2006)
The Theoretical Biologist's Toolbox:
Quantitative Methods for Ecology and Evolutionary Biology
Cambridge University Press, Cambridge, UK.
UW Library Catalog
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Mazumdar, J. (1989, 2006)
An Introduction to Mathematical Physiology and Biology
Cambridge University Press, Cambridge, UK.
UW Library Catalog
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Murray, J. D. 2002 (3rd Edition)
Mathematical Biology I: An Introduction
Springer, Berlin, Germany
UW Library Catalog
Prerequisites
You should have had at least one of the following three courses:
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Amath 351
Introduction to Differential Equations and Applications
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Math 136
Honors Accelerated Calculus
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Math 307
Introduction to Differential Equations
Grading
Your grade will be based on your homework and your final term paper
Your homework accounts for 70% of the final grade.
A 10-15 page term paper accounts for 30% of your final grade
Homework problems will be assigned on a regular basis and are due one week from the date of assignment.
Homeworks must be done alone; they are not group projects!
Calendar
Important Dates
| September 26 |
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Wednesday |
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First Day of Classes |
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| November 12 |
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Monday |
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Veterans Day (No Class) |
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| November 22 |
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Thursday |
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Thanksgiving (No Class) |
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| November 23 |
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Friday |
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Thanksgiving (No Class) |
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| December 7 |
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Friday |
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Last Day of Lectures |
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| December 12 |
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Wednesday |
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Term Papers Due |
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Notes
Exponential and logistic growth
Harvest models and bifurcations
Discrete-time models
A classical predator-prey model
To cycle or not to cycle
Simple competition
Chemical kinetics (for lectures 1 and 2)
Enzyme kinetics (for lectures 3 and 4)
Enzyme kinetics (additional reading excerpted from the book: "Chemical Biophysics", Cambridge)
Cellular Signaling Switches
Biochemical Oscillations
Cell Electrophysiology and Hodgkin-Huxley Model
Molecular and Cellular Mechanics
Homework
Homework problems will be assigned on a regular basis and are due one week from the date of assignment.
Homeworks constitute 70% of the final grade.
Write up your homework alone, not as a group!
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Homework 1.1
(Due: Thursday, October 4, 2007)
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Homework 1.2
(Due: Tuesday, October 9, 2007)
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Homework 1.3
(Due: Thursday, October 11, 2007 )
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Homework 2.1
(Due: Thursday, October 11, 2007 )
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Homework 2.4
(Due: Tuesday, October 16, 2007 )
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Homework 2.5
(Due: Tuesday, October 16, 2007 )
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Homework 3.1
(Due: Thursday, October 18, 2007)
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Homework 3.2
(Due: Tuesday, October 23, 2007)
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Homework 3.3
(Due: Tuesday, October 23, 2007)
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Homework 3.4
(Extra Credit -- Due: Thursday, October 25, 2007)
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Homework 5.0
(Due: Thursday, November 1, 2007)
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Homework 6.0
(Due: Thursday, November 15, 2007)
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Homework 7.0
(Due: Tuesday, November 27, 2007)
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Homework 8.0
(Due: Tuesday, December 4, 2007)
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