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Course Information
Autumn Quarter, Research Apprenticeship September 25 - December 9, 2006 - 11 weeks Biology 499 (15 credits) Course calendar |
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Instructor Information
Dr. Jonathan Alberts Dr. Kerry Kim Dr. Adriana Dawes Chris Schoff (teaching assistant) Ryan Gile (technical consultant) |
| Problem sets Friday September 27: Math problem set 1:
Enzyme kinetics
Friday September 27: Mechanics problem set 1 Thursday October 5: Math problem set 2: Phase
planes and bifurcation diagrams
Tuesday October 10: Diffusion and energy states problem set Tuesday October 24: Math problem set 3: PDEs
and Spatial Pattern Formation
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| Handouts Guidelines and general tips for presentations on Saturday, September 30 |
| Journal Club: Assigned
Readings Tuesday September 26: Fusing theoretical and experimental approaches Thursday September 28: The microscopic world
Purcell EM
Monday October 2: Diffusion and Brownian motion Thursday October 5: Segment polarity network Monday October 9: No Journal Club! Thursday October 12: Actomyosin-based delivery of Cdc42 Monday October 16: Howard/Howard-related paper to be decided Thursday October 19: Turing patterns in biological systems |
| Recommended Texts The following text books have been reserved from the UW library and will be available to students during the course. If you have your own copies, you may (but are not required to) bring them with you. J.D. Murray (2002) Mathematical biology Leah Edelstein-Keshet (2005) Mathematical models in biology Phillip Charles Nelson (2004) Biological physics: energy, information, life Howard Berg (1993) Random walks in biology Steven H Strogatz (1994) Nonlinear dynamics and chaos Daniel Kaplan and Leon Glass (1995) Understanding nonlinear dynamics Paul R Wellen (2005) An Introduction to programming with Mathematica Press et al (1997) Numerical recipes in C (free online version) Alberts et al (2002) Molecular biology of the cell (free online version) Voet and Voet (2006) Fundamentals of Biochemistry: Life at the molecular level |
| Recommended Journal Articles The following are some research papers that explore topics in mathematical modelling or present experimental results that would be suitable for exploring using mathematical techniques.
Barkai N, Leibler S.
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| Online Resources Below are some general online resources to help you with this course. Please keep in mind that these resources may not cover all topics covered in the course and may approach topics from a different angle. Java ResourcesThinking in Java (good free/online book on Java programming) KickJava, online Javadoc to the standard library, with examples Java examples (shows how to use various library components)
Java tips (tips on how to do important/common things)
A glossary of useful mathematical terms & functions, written by and for Mathematica
Tips on mathematica and some useful GUI tools
Comments? Things you would like to see added? Let us know! |