Courses
Fall 2011
Math 463: Mathematical Modeling in Biology
Math 463 provides an introduction to the use of continuous and discrete differential equations in the
biological sciences. We will develop and analyze mathematical models to investigate mechanisms underlying
specific biological processes. Another major emphasis of the course is illustrating how these models can
be used to generate predictions about currently untested conditions. The course moves from classical to
contemporary models at the population, organ, cellular, and molecular levels.
Syllabus
Fall 2008, Fall 2009, Fall 2010, Fall 2012
Math 559/Bioinf 800: Computational and Mathematical Neuroscience
In the field of neuroscience, the brain is investigated at many different
levels, from the activity of single neurons, to computations in small local
networks, to the dynamics of large neuronal populations. This course
introduces students to modeling and quantitative techniques used to
investigate, analyze and understand the brain at these different levels.
Syllabus
Winter 2008
Math 557: Methods of Applied Mathematics II: Asymptotic Analysis
Asymptotic analysis is a collection of mathematical methods used to produce
accurate approximations to solutions of equations
which cannot be solved explicitly. This course is an introduction to asymptotic
analysis with a focus on differential equations and integration.
Syllabus
Fall 2004, Fall 2005, Fall 2006
Math 450: Advanced Engineering Mathematics
This course covers mathematical theory and methods for the solution of
partial differential equations by separation of variables, eigenfunction
expansion and Fourier Transform. We also cover complex variable theory
including conformal mapping and complex integration.
Syllabus