Mathematical Biology - Engg 8110

Instructor: Caner Kazancı
Offices: Boyd Graduate School, Room 440 and Driftmier Engineering Center, Room 410.
Course Information: You can download the syllabus here.
Topics: Population dynamics, sensitivity analysis, phase-plane analysis, biochemical kinetics, metabolic pathways, approximate kinetics, bifurcation analysis, stochastic simulation methods, Langevin equation, chemical master equation, biochemical networks, Neuroscience, Gene Regulation, Genetic Networks and Systems Biology.
Text Book: A course in Mathematical Biology, Vries, Muller, Hillen, Schonfisch, Lewis. Other books of interest:

Essential Mathematical Biology, Nicholas F. Britton.
Handbook of Stochastic Methods, C. W. Gardner
Computational Cell Biology, C. Fall, E Marland, J. Wagner, J. Tyson
Systems Biology in Practice, E. Klipp, R. Herwig, A. Kowald, C. Wierling
Nonlinear Dynamics and Chaos, Steven. H. Strogatz
Mathematical Biology I, J. D. Murray

Objective: The course will provide students with the mathematical and computational tools necessary to understand, model, analyse and modify a variety of biological and ecological systems and their dynamics.
Prerequisites: It is highly recommended that students have taken a prior differential equations course, as well as a matrix algebra course. We will use Matlab and XPP for simulation and analysis, however no prior knowledge or experience is necessary.

This course is being taught again in Spring 2009. Please refer to the website of the new course for further information, announcements, lectures, handouts and homework assignments.

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