 BIOL 2400: Mathematical Models in BiologyFall 2008/2009 An introduction to modeling deterministic and random events in biology. Topics include population dynamics, disease dynamics, biostatistics, evolutionary theory, game theory, and special topics. Computational work will be done in Excel. |
 BIOL 4422/6422: Theoretical EcologySpring 2008/2010 Advanced modeling and analysis of ecological systems. Techniques will be developed in the context of applications. Theoretical concepts to be covered include mean field analysis, spatial models, delay equations, adaptive dynamics, game theory, metapopulation models, scaling theory. |
 BIOL 4755/BIOL 8803: Mathematical Biology aka "Introduction to Systems Biology: Design Principles of Biological Circuits"Spring 2009 & 2011 Quantitative systems biology, with an emphasis on building models of how cells produce and regulate proteins: from gene regulation to complex networks to examples of chemotaxis, kinetic proofreading, and collective behaviors. The textbook, An Introduction to Systems Biology, is accessible to math, science, and engineering, majors. The aim will be to develop quantitative toolkits to analyze the complex mechanisms behind the regulation, design, and operation of biological circuits. Computer programming will be done in Matlab, though no prior experience with Matlab is necessary for the course. |
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Spring 2013 We will address recent advances in the empirical, experimental and theoretical investigation of the role of viruses in natural environments, spanning environmental to human systems. We will focus primarily on the viruses of microbes – such viruses are highly abundant and highly diverse and yet their functional roles remain poorly understood. Interactive discussion of papers will shed light on common principles and processes relevant to understanding viral ecology. |
