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Course Descriptions

The biomathematics degree blends mathematics, biology, and computer science in preparation for continued graduate studies and for careers in the quantitative life sciences.

BMTH 301 - Introduction to Biomathematics: Continuous Models

  • Credit Hours: 4R-0L-4C (even years)
  • Term Available: S
  • Graduate Studies Eligible: No
  • Prerequisites: MA 212 or MA 222
  • Corequisites: None

This course requires no previous knowledge of biology. The application of differential equations and probability to modeling and analyzing dynamic biological systems. Mathematical topics include ordinary and partial differential equations, dynamical systems, bifurcations, limit cycles, chaos, and probabilistic and stochastic modeling. Biological applications may include biochemistry, cell biology, epidemiology, neuroscience, ecology, biofluids, biomaterials, diffusion, and pattern formation.

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